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Downloads](https://img.shields.io/npm/dm/%40aws%2Frun-mcp-servers-with-aws-lambda?style=for-the-badge&label=NPM%20Downloads&color=blue)](https://www.npmjs.com/package/@aws/run-mcp-servers-with-aws-lambda)\n\nThis project enables you to run [Model Context Protocol](https://modelcontextprotocol.io) stdio-based servers in AWS Lambda functions.\n\nCurrently, most implementations of MCP servers and clients are entirely local on a single machine.\nA desktop application such as an IDE or Claude Desktop initiates MCP servers locally as child processes\nand communicates with each of those servers over a long-running stdio stream.\n\n```mermaid\nflowchart LR\n    subgraph \"Your Laptop\"\n        Host[\"Desktop Application<br>with MCP Clients\"]\n        S1[\"MCP Server A<br>(child process)\"]\n        S2[\"MCP Server B<br>(child process)\"]\n        Host <-->|\"MCP Protocol<br>(over stdio stream)\"| S1\n        Host <-->|\"MCP Protocol<br>(over stdio stream)\"| S2\n    end\n```\n\nThis library helps you to wrap existing stdio MCP servers into Lambda functions.\nYou can invoke these function-based MCP servers from your application using the MCP protocol\nover short-lived HTTPS connections.\nYour application can then be a desktop-based app, a distributed system running in the cloud,\nor any other architecture.\n\n```mermaid\nflowchart LR\n    subgraph \"Distributed System\"\n        App[\"Your Application<br>with MCP Clients\"]\n        S3[\"MCP Server A<br>(Lambda function)\"]\n        S4[\"MCP Server B<br>(Lambda function)\"]\n        App <-->|\"MCP Protocol<br>(over HTTPS connection)\"| S3\n        App <-->|\"MCP Protocol<br>(over HTTPS connection)\"| S4\n    end\n```\n\nUsing this library, the Lambda function will manage the lifecycle of your stdio MCP server.\nEach Lambda function invocation will:\n\n1. Start the stdio MCP server as a child process\n1. Initialize the MCP server\n1. Forward the incoming request to the local server\n1. Return the server's response to the function caller\n1. Shut down the MCP server child process\n\nThis library supports connecting to Lambda-based MCP servers in four ways:\n\n1. The [MCP Streamable HTTP transport](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports#streamable-http), using Amazon API Gateway. Typically authenticated using OAuth.\n1. The MCP Streamable HTTP transport, using Amazon Bedrock AgentCore Gateway. Authenticated using OAuth.\n1. A custom Streamable HTTP transport with support for SigV4, using a Lambda function URL. Authenticated with AWS IAM.\n1. A custom Lambda invocation transport, using the Lambda Invoke API directly. Authenticated with AWS IAM.\n\n## Determine your server parameters\n\nMany stdio-based MCP servers's documentation encourages using tools that download and run the server on-demand.\nFor example, `uvx my-mcp-server` or `npx my-mcp-server`.\nThese tools are often not pre-packaged in the Lambda environment, and it can be inefficient to\nre-download the server on every Lambda invocation.\n\nInstead, the examples in this repository show how to package the MCP server along with\nthe Lambda function code, then start it with `python` or `node` (or `npx --offline`) directly.\n\nYou will need to determine the right parameters depending on your MCP server's package.\nThis can often be a trial and error process locally, since MCP server packaging varies.\n\n<details>\n\n<summary><b>Python server examples</b></summary>\n\nBasic example:\n\n```python\nfrom mcp.client.stdio import StdioServerParameters\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-m\",\n        \"my_mcp_server_python_module\",\n        \"--my-server-command-line-parameter\",\n        \"some_value\",\n    ],\n)\n```\n\nLocally, you would run this module using:\n\n```bash\npython -m my_mcp_server_python_module --my-server-command-line-parameter some_value\n```\n\nOther examples:\n\n```bash\npython -m mcpdoc.cli # Note the sub-module\n\npython -c \"from mcp_openapi_proxy import main; main()\"\n\npython -c \"import asyncio; from postgres_mcp.server import main; asyncio.run(main())\"\n```\n\nIf you use Lambda layers, you need to also set the PYTHONPATH for the python sub-process:\n\n```python\nlambda_paths = [\"/opt/python\"] + sys.path\nenv_config = {\"PYTHONPATH\": \":\".join(lambda_paths)}\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-c\",\n        \"from mcp_openapi_proxy import main; main()\",\n    ],\n    env=env_config,\n)\n```\n</details>\n\n<details>\n\n<summary><b>Typescript server examples</b></summary>\n\nBasic example:\n\n```typescript\nconst serverParams = {\n  command: \"npx\",\n  args: [\n    \"--offline\",\n    \"my-mcp-server-typescript-module\",\n    \"--my-server-command-line-parameter\",\n    \"some_value\",\n  ],\n};\n```\n\nLocally, you would run this module using:\n\n```bash\nnpx --offline my-mcp-server-typescript-module --my-server-command-line-parameter some_value\n```\n\nOther examples:\n```bash\nnode /var/task/node_modules/@ivotoby/openapi-mcp-server/bin/mcp-server.js\n```\n\n</details>\n\n### Passing credentials and other secrets to the MCP server\n\nThis library does not provide out-of-the-box mechanisms for managing any secrets needed by the wrapped\nMCP server. For example, the [GitHub MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/github)\nand the [Brave search MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)\nrequire API keys to make requests to third-party APIs.\nYou may configure these API keys as\n[encrypted environment variables](https://docs.aws.amazon.com/lambda/latest/dg/configuration-envvars-encryption.html)\nin the Lambda function's configuration or retrieve them from Secrets Manager in the Lambda function code (examples below).\nHowever, note that anyone with access to invoke the Lambda function\nwill then have access to use your API key to call the third-party APIs by invoking the function.\nWe recommend limiting access to the Lambda function using\n[least-privilege IAM policies](https://docs.aws.amazon.com/lambda/latest/dg/security-iam.html).\nIf you use an identity-based authentication mechanism such as OAuth, you could also store and retrieve API keys per user but there are no implementation examples in this repository.\n\n<details>\n\n<summary><b>Python server example retrieving an API key from Secrets Manager</b></summary>\n\n```python\nimport sys\n\nimport boto3\nfrom mcp.client.stdio import StdioServerParameters\n\n# Retrieve API key from Secrets Manager\nsecrets_client = boto3.client(\"secretsmanager\")\napi_key = secrets_client.get_secret_value(SecretId=\"my-api-key-secret\")[\"SecretString\"]\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\"-m\", \"my_mcp_server\"],\n    env={\n        \"API_KEY\": api_key,\n    },\n)\n```\n\n</details>\n\n<details>\n\n<summary><b>Typescript server example retrieving an API key from Secrets Manager</b></summary>\n\n```typescript\nimport { SecretsManagerClient, GetSecretValueCommand } from \"@aws-sdk/client-secrets-manager\";\n\nconst secretsClient = new SecretsManagerClient({});\nconst secret = await secretsClient.send(\n  new GetSecretValueCommand({ SecretId: \"my-api-key-secret\" })\n);\nconst apiKey = secret.SecretString;\n\nconst serverParams = {\n  command: \"npx\",\n  args: [\"--offline\", \"my-mcp-server\"],\n  env: {\n    API_KEY: apiKey,\n  },\n};\n```\n\n</details>\n<br/>\n\nIf your MCP server needs to call AWS APIs (such as the [MCP servers for AWS](https://github.com/awslabs/mcp)),\nyou can pass the Lambda function's AWS credentials to the wrapped MCP server via environment variables.\nThe wrapped MCP server's child process does not automatically inherit the Lambda execution role's credentials.\nAgain, note that anyone with access to invoke the Lambda function\nwill then have access to use the function's AWS credentials to call AWS APIs by invoking the function.\nWe recommend limiting access to the Lambda function using\n[least-privilege IAM policies](https://docs.aws.amazon.com/lambda/latest/dg/security-iam.html).\n\n<details>\n\n<summary><b>Python server example using AWS credentials via environment variables</b></summary>\n\n```python\nimport os\nimport sys\n\nimport boto3\nfrom mcp.client.stdio import StdioServerParameters\n\n# Get AWS credentials from Lambda execution role to pass to subprocess\nsession = boto3.Session()\ncredentials = session.get_credentials()\nif credentials is None:\n    raise RuntimeError(\"Unable to retrieve AWS credentials from the execution environment\")\nresolved = credentials.get_frozen_credentials()\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\"-m\", \"my_mcp_server\"],\n    env={\n        \"AWS_REGION\": os.environ.get(\"AWS_REGION\", \"us-west-2\"),\n        \"AWS_DEFAULT_REGION\": os.environ.get(\"AWS_REGION\", \"us-west-2\"),\n        \"AWS_ACCESS_KEY_ID\": resolved.access_key,\n        \"AWS_SECRET_ACCESS_KEY\": resolved.secret_key,\n        \"AWS_SESSION_TOKEN\": resolved.token or \"\",\n    },\n)\n```\n\n</details>\n\n<details>\n\n<summary><b>Python server example using AWS credentials via credentials file</b></summary>\n\nSome MCP servers require an AWS profile and do not support credentials passed via environment variables.\nIn this case, you can write the credentials to a file and point the MCP server to it.\n\n```python\nimport os\nimport sys\n\nimport boto3\nfrom mcp.client.stdio import StdioServerParameters\n\n# Get AWS credentials from Lambda execution role to pass to subprocess\nsession = boto3.Session()\ncredentials = session.get_credentials()\nif credentials is None:\n    raise RuntimeError(\"Unable to retrieve AWS credentials from the execution environment\")\nresolved = credentials.get_frozen_credentials()\n\n# Write credentials to disk as default profile\naws_dir = \"/tmp/.aws\"\nos.makedirs(aws_dir, exist_ok=True)\nwith open(f\"{aws_dir}/credentials\", \"w\") as f:\n    f.write(\"[default]\\n\")\n    f.write(f\"aws_access_key_id = {resolved.access_key}\\n\")\n    f.write(f\"aws_secret_access_key = {resolved.secret_key}\\n\")\n    if resolved.token:\n        f.write(f\"aws_session_token = {resolved.token}\\n\")\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\"-m\", \"my_mcp_server\"],\n    env={\n        \"AWS_REGION\": os.environ.get(\"AWS_REGION\", \"us-west-2\"),\n        \"AWS_DEFAULT_REGION\": os.environ.get(\"AWS_REGION\", \"us-west-2\"),\n        \"AWS_SHARED_CREDENTIALS_FILE\": f\"{aws_dir}/credentials\",\n    },\n)\n```\n\nSee a full, deployable example [here](examples/servers/sns-sqs/).\n\n</details>\n\n## Use API Gateway\n\n```mermaid\nflowchart LR\n    App[\"MCP Client\"]\n    T1[\"MCP Server<br>(Lambda function)\"]\n    T2[\"API Gateway\"]\n    T3[\"OAuth Server<br>(Cognito or similar)\"]\n    App -->|\"MCP Streamable<br>HTTP Transport\"| T2\n    T2 -->|\"Invoke\"| T1\n    T2 -->|\"Authorize\"| T3\n```\n\nThis solution is compatible with most MCP clients that support the streamable HTTP transport.\nMCP servers deployed with this architecture can typically be used with off-the-shelf\nMCP-compatible applications such as Cursor, Cline, Claude Desktop, etc.\n\nYou can choose your desired OAuth server provider for this solution. The examples in this\nrepository use Amazon Cognito, or you can use third-party providers such as Okta or Auth0\nwith API Gateway custom authorization.\n\n<details>\n\n<summary><b>Python server example</b></summary>\n\n```python\nimport sys\nfrom mcp.client.stdio import StdioServerParameters\nfrom mcp_lambda import APIGatewayProxyEventHandler, StdioServerAdapterRequestHandler\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-m\",\n        \"my_mcp_server_python_module\",\n        \"--my-server-command-line-parameter\",\n        \"some_value\",\n    ],\n)\n\n\nrequest_handler = StdioServerAdapterRequestHandler(server_params)\nevent_handler = APIGatewayProxyEventHandler(request_handler)\n\n\ndef handler(event, context):\n    return event_handler.handle(event, context)\n```\n\nSee a full, deployable example [here](examples/servers/dad-jokes/).\n\n</details>\n\n<details>\n\n<summary><b>Typescript server example</b></summary>\n\n```typescript\nimport {\n  Handler,\n  Context,\n  APIGatewayProxyWithCognitoAuthorizerEvent,\n  APIGatewayProxyResult,\n} from \"aws-lambda\";\nimport {\n  APIGatewayProxyEventHandler,\n  StdioServerAdapterRequestHandler,\n} from \"@aws/run-mcp-servers-with-aws-lambda\";\n\nconst serverParams = {\n  command: \"npx\",\n  args: [\n    \"--offline\",\n    \"my-mcp-server-typescript-module\",\n    \"--my-server-command-line-parameter\",\n    \"some_value\",\n  ],\n};\n\nconst requestHandler = new APIGatewayProxyEventHandler(\n  new StdioServerAdapterRequestHandler(serverParams)\n);\n\nexport const handler: Handler = async (\n  event: APIGatewayProxyWithCognitoAuthorizerEvent,\n  context: Context\n): Promise<APIGatewayProxyResult> => {\n  return requestHandler.handle(event, context);\n};\n```\n\nSee a full, deployable example [here](examples/servers/dog-facts/).\n\n</details>\n\n<details>\n\n<summary><b>Python client example</b></summary>\n\n```python\nfrom mcp import ClientSession\nfrom mcp.client.streamable_http import streamablehttp_client\n\n# Create OAuth client provider here\n\nasync with streamablehttp_client(\n    url=\"https://abc123.execute-api.us-west-2.amazonaws.com/prod/mcp\",\n    auth=oauth_client_provider,\n) as (\n    read_stream,\n    write_stream,\n    _,\n):\n    async with ClientSession(read_stream, write_stream) as session:\n        await session.initialize()\n        tool_result = await session.call_tool(\"echo\", {\"message\": \"hello\"})\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/python/interactive_oauth.py).\n\n</details>\n\n<details>\n\n<summary><b>Typescript client example</b></summary>\n\n```typescript\nimport { StreamableHTTPClientTransport } from \"@modelcontextprotocol/sdk/client/streamableHttp.js\";\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\n\nconst client = new Client(\n  {\n    name: \"my-client\",\n    version: \"0.0.1\",\n  },\n  {\n    capabilities: {\n      sampling: {},\n    },\n  }\n);\n\n// Create OAuth client provider here\n\nconst transport = new StreamableHTTPClientTransport(\n  \"https://abc123.execute-api.us-west-2.amazonaws.com/prod/mcp\",\n  {\n    authProvider: oauthProvider,\n  }\n);\nawait client.connect(transport);\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/typescript/src/interactive_oauth.ts).\n\n</details>\n\n## Use Bedrock AgentCore Gateway\n\n```mermaid\nflowchart LR\n    App[\"MCP Client\"]\n    T1[\"MCP Server<br>(Lambda function)\"]\n    T2[\"Bedrock AgentCore Gateway\"]\n    T3[\"OAuth Server<br>(Cognito or similar)\"]\n    App -->|\"MCP Streamable<br>HTTP Transport\"| T2\n    T2 -->|\"Invoke\"| T1\n    T2 -->|\"Authorize\"| T3\n```\n\nThis solution is compatible with most MCP clients that support the streamable HTTP transport.\nMCP servers deployed with this architecture can typically be used with off-the-shelf\nMCP-compatible applications such as Cursor, Cline, Claude Desktop, etc.\n\nYou can choose your desired OAuth server provider with Bedrock AgentCore Gateway,\nsuch as Amazon Cognito, Okta, or Auth0.\n\nUsing Bedrock AgentCore Gateway in front of your stdio-based MCP server requires that\nyou retrieve the MCP server's tool schema, and provide it in the\n[AgentCore Gateway Lambda target configuration](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/gateway-add-target-lambda.html#gateway-building-lambda-multiple-tools).\nAgentCore Gateway can then advertise the schema to HTTP clients and validate request inputs and outputs.\n\nTo retrieve and save your stdio-based MCP server's tool schema to a file, run:\n\n```bash\nnpx @modelcontextprotocol/inspector --cli --method tools/list <your MCP server command and arguments> > tool-schema.json\n\n# For example:\nnpx @modelcontextprotocol/inspector --cli --method tools/list uvx mcp-server-time > tool-schema.json\n```\n\nSome MCP servers generate tool schemas that AgentCore Gateway rejects with strict validation,\nsuch as `\"items\": {}`, `\"default\": null`, or `anyOf` with `{\"type\": \"null\"}`.\nYou may need to clean up the schema before using it:\n\n```bash\npython3 scripts/clean-tool-schema.py tool-schema.json\n```\n\n<details>\n\n<summary><b>Python server example</b></summary>\n\n```python\nimport sys\nfrom mcp.client.stdio import StdioServerParameters\nfrom mcp_lambda import BedrockAgentCoreGatewayTargetHandler, StdioServerAdapterRequestHandler\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-m\",\n        \"my_mcp_server_python_module\",\n        \"--my-server-command-line-parameter\",\n        \"some_value\",\n    ],\n)\n\n\nrequest_handler = StdioServerAdapterRequestHandler(server_params)\nevent_handler = BedrockAgentCoreGatewayTargetHandler(request_handler)\n\n\ndef handler(event, context):\n    return event_handler.handle(event, context)\n```\n\nSee a full, deployable example [here](examples/servers/book-search/).\n\n</details>\n\n<details>\n\n<summary><b>Typescript server example</b></summary>\n\n```typescript\nimport { Handler, Context } from \"aws-lambda\";\nimport {\n  BedrockAgentCoreGatewayTargetHandler,\n  StdioServerAdapterRequestHandler,\n} from \"@aws/run-mcp-servers-with-aws-lambda\";\n\nconst serverParams = {\n  command: \"npx\",\n  args: [\n    \"--offline\",\n    \"my-mcp-server-typescript-module\",\n    \"--my-server-command-line-parameter\",\n    \"some_value\",\n  ],\n};\n\nconst requestHandler = new BedrockAgentCoreGatewayTargetHandler(\n  new StdioServerAdapterRequestHandler(serverParams)\n);\n\nexport const handler: Handler = async (\n  event: Record<string, unknown>,\n  context: Context\n): Promise<Record<string, unknown>> => {\n  return requestHandler.handle(event, context);\n};\n```\n\nSee a full, deployable example [here](examples/servers/dictionary/).\n\n</details>\n\n<details>\n\n<summary><b>Python client example</b></summary>\n\n```python\nfrom mcp import ClientSession\nfrom mcp.client.streamable_http import streamablehttp_client\n\n# Create OAuth client provider here\n\nasync with streamablehttp_client(\n    url=\"https://abc123.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp\",\n    auth=oauth_client_provider,\n) as (\n    read_stream,\n    write_stream,\n    _,\n):\n    async with ClientSession(read_stream, write_stream) as session:\n        await session.initialize()\n        tool_result = await session.call_tool(\"echo\", {\"message\": \"hello\"})\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/python/interactive_oauth.py).\n\n</details>\n\n<details>\n\n<summary><b>Typescript client example</b></summary>\n\n```typescript\nimport { StreamableHTTPClientTransport } from \"@modelcontextprotocol/sdk/client/streamableHttp.js\";\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\n\nconst client = new Client(\n  {\n    name: \"my-client\",\n    version: \"0.0.1\",\n  },\n  {\n    capabilities: {\n      sampling: {},\n    },\n  }\n);\n\n// Create OAuth client provider here\n\nconst transport = new StreamableHTTPClientTransport(\n  \"https://abc123.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp\",\n  {\n    authProvider: oauthProvider,\n  }\n);\nawait client.connect(transport);\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/typescript/src/interactive_oauth.ts).\n\n</details>\n\n## Use a Lambda function URL\n\n```mermaid\nflowchart LR\n    App[\"MCP Client\"]\n    T1[\"MCP Server<br>(Lambda function)\"]\n    T2[\"Lambda function URL\"]\n    App -->|\"Custom Streamable HTTP<br>Transport with AWS Auth\"| T2\n    T2 -->|\"Invoke\"| T1\n```\n\nThis solution uses AWS IAM for authentication, and relies on granting\n[Lambda InvokeFunctionUrl permission](https://docs.aws.amazon.com/lambda/latest/dg/urls-auth.html#urls-auth-iam) to your\nIAM users and roles to enable access to the MCP server. Clients must use an extension to the MCP Streamable\nHTTP transport that signs requests with [AWS SigV4](https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html).\nOff-the-shelf MCP-compatible applications are unlikely to have support for this custom transport,\nso this solution is more appropriate for service-to-service communication rather than for end users.\n\n<details>\n\n<summary><b>Python server example</b></summary>\n\n```python\nimport sys\nfrom mcp.client.stdio import StdioServerParameters\nfrom mcp_lambda import LambdaFunctionURLEventHandler, StdioServerAdapterRequestHandler\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-m\",\n        \"my_mcp_server_python_module\",\n        \"--my-server-command-line-parameter\",\n        \"some_value\",\n    ],\n)\n\n\nrequest_handler = StdioServerAdapterRequestHandler(server_params)\nevent_handler = LambdaFunctionURLEventHandler(request_handler)\n\n\ndef handler(event, context):\n    return event_handler.handle(event, context)\n```\n\nSee a full, deployable example [here](examples/servers/mcpdoc/).\n\n</details>\n\n<details>\n\n<summary><b>Typescript server example</b></summary>\n\n```typescript\nimport {\n  Handler,\n  Context,\n  APIGatewayProxyEventV2WithIAMAuthorizer,\n  APIGatewayProxyResultV2,\n} from \"aws-lambda\";\nimport {\n  LambdaFunctionURLEventHandler,\n  StdioServerAdapterRequestHandler,\n} from \"@aws/run-mcp-servers-with-aws-lambda\";\n\nconst serverParams = {\n  command: \"npx\",\n  args: [\n    \"--offline\",\n    \"my-mcp-server-typescript-module\",\n    \"--my-server-command-line-parameter\",\n    \"some_value\",\n  ],\n};\n\nconst requestHandler = new LambdaFunctionURLEventHandler(\n  new StdioServerAdapterRequestHandler(serverParams)\n);\n\nexport const handler: Handler = async (\n  event: APIGatewayProxyEventV2WithIAMAuthorizer,\n  context: Context\n): Promise<APIGatewayProxyResultV2> => {\n  return requestHandler.handle(event, context);\n};\n```\n\nSee a full, deployable example [here](examples/servers/cat-facts/).\n\n</details>\n\n<details>\n\n<summary><b>Python client example</b></summary>\n\n```python\nfrom mcp import ClientSession\nfrom mcp_proxy_for_aws.client import aws_iam_streamablehttp_client\n\nasync with aws_iam_streamablehttp_client(\n    endpoint=\"https://url-id-12345.lambda-url.us-west-2.on.aws\",\n    aws_service=\"lambda\",\n    aws_region=\"us-west-2\",\n) as (\n    read_stream,\n    write_stream,\n    _,\n):\n    async with ClientSession(read_stream, write_stream) as session:\n        await session.initialize()\n        tool_result = await session.call_tool(\"echo\", {\"message\": \"hello\"})\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/python/mcp_clients.py).\n\n</details>\n\n<details>\n\n<summary><b>Typescript client example</b></summary>\n\n```typescript\nimport { StreamableHTTPClientWithSigV4Transport } from \"@aws/run-mcp-servers-with-aws-lambda\";\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\n\nconst client = new Client(\n  {\n    name: \"my-client\",\n    version: \"0.0.1\",\n  },\n  {\n    capabilities: {\n      sampling: {},\n    },\n  }\n);\n\nconst transport = new StreamableHTTPClientWithSigV4Transport(\n  new URL(\"https://url-id-12345.lambda-url.us-west-2.on.aws\"),\n  {\n    service: \"lambda\",\n    region: \"us-west-2\",\n  }\n);\nawait client.connect(transport);\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/typescript/src/mcp_clients.ts).\n\n</details>\n\n## Use the Lambda Invoke API\n\n```mermaid\nflowchart LR\n    App[\"MCP Client\"]\n    T1[\"MCP Server<br>(Lambda function)\"]\n    App -->|\"Custom MCP Transport<br>(Lambda Invoke API)\"| T1\n```\n\nLike the Lambda function URL approach, this solution uses AWS IAM for authentication.\nIt relies on granting\n[Lambda InvokeFunction permission](https://docs.aws.amazon.com/lambda/latest/dg/lambda-api-permissions-ref.html)\nto your IAM users and roles to enable access to the MCP server.\nClients must use a custom MCP transport that directly calls the\n[Lambda Invoke API](https://docs.aws.amazon.com/lambda/latest/api/API_Invoke.html).\nOff-the-shelf MCP-compatible applications are unlikely to have support for this custom transport,\nso this solution is more appropriate for service-to-service communication rather than for end users.\n\n<details>\n\n<summary><b>Python server example</b></summary>\n\n```python\nimport sys\nfrom mcp.client.stdio import StdioServerParameters\nfrom mcp_lambda import stdio_server_adapter\n\nserver_params = StdioServerParameters(\n    command=sys.executable,\n    args=[\n        \"-m\",\n        \"my_mcp_server_python_module\",\n        \"--my-server-command-line-parameter\",\n        \"some_value\",\n    ],\n)\n\n\ndef handler(event, context):\n    return stdio_server_adapter(server_params, event, context)\n```\n\nSee a full, deployable example [here](examples/servers/time/).\n\n</details>\n\n<details>\n\n<summary><b>Typescript server example</b></summary>\n\n```typescript\nimport { Handler, Context } from \"aws-lambda\";\nimport { stdioServerAdapter } from \"@aws/run-mcp-servers-with-aws-lambda\";\n\nconst serverParams = {\n  command: \"npx\",\n  args: [\n    \"--offline\",\n    \"my-mcp-server-typescript-module\",\n    \"--my-server-command-line-parameter\",\n    \"some_value\",\n  ],\n};\n\nexport const handler: Handler = async (event, context: Context) => {\n  return await stdioServerAdapter(serverParams, event, context);\n};\n```\n\nSee a full, deployable example [here](examples/servers/weather-alerts/).\n\n</details>\n\n<details>\n\n<summary><b>Python client example</b></summary>\n\n```python\nfrom mcp import ClientSession\nfrom mcp_lambda import LambdaFunctionParameters, lambda_function_client\n\nserver_params = LambdaFunctionParameters(\n    function_name=\"my-mcp-server-function\",\n    region_name=\"us-west-2\",\n)\n\nasync with lambda_function_client(server_params) as (\n    read_stream,\n    write_stream,\n):\n    async with ClientSession(read_stream, write_stream) as session:\n        await session.initialize()\n        tool_result = await session.call_tool(\"echo\", {\"message\": \"hello\"})\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/python/mcp_clients.py).\n\n</details>\n\n<details>\n\n<summary><b>Typescript client example</b></summary>\n\n```typescript\nimport {\n  LambdaFunctionParameters,\n  LambdaFunctionClientTransport,\n} from \"@aws/run-mcp-servers-with-aws-lambda\";\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\n\nconst serverParams: LambdaFunctionParameters = {\n  functionName: \"my-mcp-server-function\",\n  regionName: \"us-west-2\",\n};\n\nconst client = new Client(\n  {\n    name: \"my-client\",\n    version: \"0.0.1\",\n  },\n  {\n    capabilities: {\n      sampling: {},\n    },\n  }\n);\n\nconst transport = new LambdaFunctionClientTransport(serverParams);\nawait client.connect(transport);\n```\n\nSee a full example as part of the sample chatbot [here](examples/chatbots/typescript/src/mcp_clients.ts).\n\n</details>\n\n## Related projects\n\n- To write custom MCP servers in Lambda functions,\n  see the [MCP Lambda Handler](https://github.com/awslabs/mcp/tree/main/src/mcp-lambda-handler) project.\n- To invoke existing Lambda functions as tools through a stdio MCP server,\n  see the [AWS Lambda Tool MCP Server](https://awslabs.github.io/mcp/servers/lambda-tool-mcp-server/) project.\n\n## Considerations\n\n- This library currently supports MCP servers and clients written in Python and Typescript.\n  Other languages such as Kotlin are not supported.\n- This library only adapts stdio MCP servers for Lambda, not servers written for other protocols such as SSE.\n- This library does not maintain any MCP server state or sessions across Lambda function invocations.\n  Only stateless MCP servers are a good fit for using this library. For example, MCP servers\n  that invoke stateless tools like the [time MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/time)\n  or make stateless web requests like the [fetch MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch).\n  Stateful MCP servers are not a good fit, because they will lose their state on every request.\n  For example, MCP servers that manage data on disk or in memory such as\n  the [sqlite MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite),\n  the [filesystem MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem),\n  and the [git MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/git).\n\n## Deploy and run the examples\n\nSee the [development guide](DEVELOP.md) for instructions to deploy and run the examples in this repository.\n\n## Security\n\nSee [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.\n\n## License\n\nThis project is licensed under the Apache-2.0 License.\n","readmeFilename":"README.md"}