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adapters for Model Context Protocol (MCP)","maintainers":[{"name":"lc-oss-admin","email":"oss-admin@langchain.dev"},{"name":"langchain-security","email":"infra@langchain.dev"}],"readme":"# LangChain.js MCP Adapters\n\n[![npm version](https://img.shields.io/npm/v/@langchain/mcp-adapters.svg)](https://www.npmjs.com/package/@langchain/mcp-adapters)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nGive your LangChain agents access to tools from [Model Context Protocol (MCP)](https://modelcontextprotocol.io)\nservers. `@langchain/mcp-adapters` manages connections and converts MCP tools\nand results into LangChain formats, ready to use with `createAgent` or a custom\nLangGraph workflow.\n\n- **Connect your tools**: discover tools from multiple local or remote servers.\n- **Control tool execution**: authenticate connections, customize arguments and\n  results with hooks, and receive progress updates.\n- **Choose what the model sees**: use text and multimodal results as model input,\n  or keep outputs in artifacts for your application to process.\n- **Ask for user input**: pause an agent when a modern MCP server requests a form\n  response or a URL visit, then resume with the user's response.\n\n**[Read the MCP guide](https://docs.langchain.com/oss/javascript/langchain/mcp)**\nfor concepts, configuration, and advanced usage.\n\n## Install\n\nRequires Node.js 20.10 or later. Install the adapter and its LangChain peers:\n\n```bash\nnpm install @langchain/mcp-adapters @langchain/core @langchain/langgraph\n```\n\nThe adapter requires `@langchain/core ^1.2.6` and `@langchain/langgraph ^1.4.13`.\nIt includes the MCP SDK client; install the SDK separately only if your application\nimports it directly.\n\n## Quickstart: give an agent MCP tools\n\nThis example connects an agent to the public [LangChain docs MCP server](https://docs.langchain.com/use-these-docs)\nso it can look up documentation. You do not need to run a server or configure\nauthentication for this MCP endpoint.\n\nInstall LangChain and the model integration used below:\n\n```bash\nnpm install langchain @langchain/openai\n```\n\nSet `OPENAI_API_KEY` in your environment, then run:\n\n```ts\nimport { createAgent } from \"langchain\";\nimport { ChatOpenAI } from \"@langchain/openai\";\nimport { MCPAdapter } from \"@langchain/mcp-adapters\";\n\nconst adapter = new MCPAdapter({\n  servers: {\n    docs: { url: \"https://docs.langchain.com/mcp\" },\n  },\n});\n\ntry {\n  const tools = await adapter.listTools();\n  const agent = createAgent({\n    model: new ChatOpenAI({ model: \"gpt-4.1-mini\" }),\n    tools,\n  });\n\n  const result = await agent.invoke({\n    messages: [\n      {\n        role: \"user\",\n        content: \"How do I add short-term memory to a LangChain agent?\",\n      },\n    ],\n  });\n  console.log(result.messages.at(-1)?.content);\n} finally {\n  await adapter.close();\n}\n```\n\nKeep the adapter open while your agent uses its tools, then call `close()` when\nfinished. Connections open as needed. `listTools()` returns executable LangChain\ntools, which you can also invoke directly without a model or use in a custom\nLangGraph workflow.\n\n## Tools that request user input\n\nMCP tools can ask users to complete a form or visit a URL before continuing.\nFor modern MCP servers, the adapter pauses the agent through a LangGraph\ninterrupt so your application can collect a response and resume the run.\n\nConfigure a checkpointer for these workflows. Tools that do not request input\ncan run without one. See the [tools guide](https://docs.langchain.com/oss/javascript/langchain/mcp/tools)\nfor handling requests and resuming execution.\n\n## Documentation and examples\n\n| I want to…                                                           | Start here                                                                                                                           |\n| -------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |\n| Connect local or remote servers, manage connections, or select tools | [Connections](https://docs.langchain.com/oss/javascript/langchain/mcp/connections)                                                   |\n| Authenticate with tokens or OAuth                                    | [Authentication](https://docs.langchain.com/oss/javascript/langchain/mcp/auth)                                                       |\n| Customize tool calls, handle results, or collect user input          | [Tools](https://docs.langchain.com/oss/javascript/langchain/mcp/tools)                                                               |\n| Modify tool arguments and results                                    | [Hooks example](https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-mcp-adapters/examples/hooks.ts)                 |\n| Work with multimodal content and artifacts                           | [Content example](https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-mcp-adapters/examples/content.ts)             |\n| Receive server messages and tool progress                            | [Notifications example](https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-mcp-adapters/examples/notifications.ts) |\n| Run a local example without model credentials                        | [Example setup and walkthroughs](https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters/examples)         |\n\nIf you already manage an MCP SDK client, use `loadMcpTools()` to adapt its tools\nwithout handing connection management to `MCPAdapter`.\n\n## Upgrading from 1.x\n\nUse `MCPAdapter`, `{ servers: { ... } }`, and `listTools()` for new code.\n`MultiServerMCPClient`, `mcpServers`, and `getTools()` remain available as\ndeprecated compatibility APIs.\n\nVersion 2 also changes tool-name defaults, configuration, connection behavior,\nand tool results. Review the [migration guide](https://docs.langchain.com/oss/javascript/migrate/langchain-mcp-adapters)\nbefore upgrading, including any approval rules that refer to tool names.\n\n## Acknowledgements\n\nBig thanks to [@vrknetha](https://github.com/vrknetha), [@knacklabs](https://www.knacklabs.ai) for the initial implementation!\n\n## Contributing\n\nContributions are welcome! See the [contributing guidelines](https://github.com/langchain-ai/langchainjs/blob/main/CONTRIBUTING.md).\n\n## License\n\nMIT\n","readmeFilename":"README.md"}