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and test](https://github.com/DecisionsDev/di-mcp-server/actions/workflows/build.yml/badge.svg)](https://github.com/DecisionsDev/di-mcp-server/actions/workflows/build.yml) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LI","maintainers":[{"name":"jeanfi-ibm","email":"orsinije@fr.ibm.com"},{"name":"ytma31s566iq14fxeq7sdjfo8o6itnsj","email":"benjamin@ratiarisolo.eu"},{"name":"serigne00","email":"smbaye@fr.ibm.com"},{"name":"laurent-extier","email":"laurent.extier@hotmail.fr"}],"readme":"# MCP server for IBM Decision Intelligence and IBM Automation Decision Services\n\n[![Build and test](https://github.com/DecisionsDev/di-mcp-server/actions/workflows/build.yml/badge.svg)](https://github.com/DecisionsDev/di-mcp-server/actions/workflows/build.yml) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE) [![npm Version](https://badge.fury.io/js/di-mcp-server.svg)](https://www.npmjs.com/package/di-mcp-server) ![npm Downloads](https://img.shields.io/npm/dw/di-mcp-server)\n\n```mermaid\nflowchart LR\n client(\"AI Assistant

(Claude, Watsonx Orchestrate, etc.)\") -- MCP --> server(\"Decision Intelligence
MCP Server\")\n server -- HTTPS --> runtime(\"IBM Decision Intelligence
or IBM ADS

Decision Runtime\")\n```\n\nThis Model Context Protocol (MCP) server empowers AI assistants by accessing decisions from [IBM Decision Intelligence](https://www.ibm.com/products/decision-intelligence) or [IBM Automation Decision Services](https://www.ibm.com/products/automation-decision-services).\n\nThe MCP server is available as an npm package in the free npm registry at https://www.npmjs.com/package/di-mcp-server.\n\nIt supports both STDIO and streamable HTTP transports for local or remote deployments for supporting any MCP clients.\n\n\n## Resources\n\n- [Supercharge your AI Assistants with the decisioning capabilities of IBM Decision Intelligence](https://community.ibm.com/community/user/blogs/jean-philippe-orsini/2025/08/22/decision-intelligence-mcp-server): Step-by-step instructions on how to use the MCP server for IBM Decision Intelligence.\n- [Trusted automated decisions in Agentic application with IBM Decision Intelligence and MCP](https://www.youtube.com/watch?v=GEgelNg4uaM): This video shows how an agentic application can leverage automated decision services that are defined and hosted in the IBM Decision Intelligence platform to make accurate and explainable decisions.\n- [Enrich your watsonx Orchestrate chat experience with IBM Decision Intelligence](https://medium.com/@orsinije/decision-intelligence-mcp-server-tutorial-watsonx-orchestrate-4d5a200fbe08): Step-by-step instructions on how to use the decisioning capability in IBM watsonx Orchestrate.\n\n\n## Getting started with the MCP server\n\nYou can use the MCP server available in the npm registry.\nTo develop your own MCP server or contribute to the development, see [Developing the MCP server](DEVELOPING.md).\n\nYou can run the MCP server with npx to expose each operation of the last deployed version of a decision service as an MCP tool.\n\n### For IBM Decision Intelligence\n\nCreate the MCP server by using decisions that are deployed in Decision Intelligence:\n```bash\nnpx -y di-mcp-server --di-apikey --url https://mytenant.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\n```\n\n### For IBM Automation Decision Services\n\n#### Zen API key authentication\n\nCreate the MCP server by using decisions that are deployed in Automation Decision Services that uses the Zen API key authentication:\n\n```bash\nnpx -y di-mcp-server --authentication-mode zenapikey --zen-username --zen-apikey --url https://myads-hostname/ads/runtime/api/v1\n```\n\n#### Basic authentication\n\nCreate the MCP server by using decisions that are deployed in Automation Decision Services that uses the basic authentication:\n\n```bash\nnpx -y di-mcp-server --authentication-mode basic --basic-username --basic-password --url https://myads-hostname/ads/runtime/api/v1\n```\n\n### Command line syntax\n\nSyntax of the command line:\n```bash\nnpx -y di-mcp-server [--authentication-mode ] --url [--transport ] [--deployment-spaces ] [--decision-service-ids ] [--decision-service-poll-interval ]\n```\n\nwhere\n- `AUTHENTICATION_MODE` (optional) is the authentication mode to access the decision runtime; either `diapikey` (default), `zenapikey`, or `basic` respectively for authenticating with the Decision Intelligence API key, Zen API key, or basic credentials (i.e. username and password)\n- `CREDENTIALS` is one of the following options, depending on the chosen authentication mode:\n - For Decision Intelligence API key authentication: `--di-apikey ` where `DI_API_KEY` is the API key to access the decision runtime for Decision Intelligence.\n - For Zen API key authentication: `--zen-username --apikey ` where `ZEN_USERNAME` and `ZEN_API_KEY` are the Zen API key credentials to access the decision runtime for Automation Decision Services (see [Authorizing HTTP requests by using the Zen API key](https://www.ibm.com/docs/en/cloud-paks/cp-biz-automation/25.0.0?topic=administering-authorizing-http-requests-by-using-zen-api-key))\n - For basic authentication: `--basic-username --basic-password ` where `BASIC_USERNAME` and `BASIC_PASSWORD` are the basic authentication credentials to connect to the decision runtime for Automation Decision Services.\n- `RUNTIME_BASE_URL` is the base URL of the decision runtime REST API. For Decision Intelligence, its pattern is: `https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1` where TENANT_NAME is the name of the tenant.\n- `TRANSPORT` (optional) is the transport protocol, either `stdio` (default) or `http`.\n- `DEPLOYMENT_SPACES` (optional) is a comma-separated list of deployment spaces to scan (defaults to `development`).\n- `DECISION_SERVICE_IDS` (optional) If defined, comma-separated list of decision service ids to be exposed as tools\n- `DECISION_SERVICE_POLL_INTERVAL` (optional) is the interval in seconds for polling decision services (default: `30`, minimum: `1`)\n\nThe following environment variables can be used in addition to the command line options.\n\n| CLI Option | Environment Variable | Description |\n|------------------------|----------------------|--------------------------------------------------------------------------------------------------------------|\n| --authentication-mode | AUTHENTICATION_MODE | (Optional) Authentication mode to connect to the decision runtime: `diapikey` (default), `zenapikey` or `basic` |\n| --di-apikey | DI_APIKEY | Decision Intelligence API key |\n| --zen-username | ZEN_USERNAME | Zen username |\n| --zen-apikey | ZEN_APIKEY | Zen API key |\n| --basic-username | BASIC_USERNAME | Basic authentication username |\n| --basic-password | BASIC_PASSWORD | Basic authentication password |\n| --decision-service-ids | DECISION_SERVICE_IDS | (Optional) Comma-separated list of decision services (default: fetch all decision services) |\n| --mcp-groups | N/A | (Optional) Only decision services with the metadata 'mcpGroups' set to one of the value of this comma-separated list will be exposed |\n| --deployment-spaces | DEPLOYMENT_SPACES | (Optional) Comma-separated list of deployment spaces to scan (default: `development`) |\n| --debug | DEBUG | When the value is `true`, the debug messages are written to the `stderr` of the MCP server |\n| --decision-service-poll-interval | DECISION_SERVICE_POLL_INTERVAL | (Optional) Interval in seconds for polling decision services (default: `30`, minimum: `1`) |\n| --transport | TRANSPORT | (Optional) Transport protocol: `stdio` (default) or `http` |\n| --url | URL | Base URL of the decision runtime
|\n\n\n## Integrating decision services into AI applications\n\nThe MCP server for Decision Intelligence extends its capability by enabling AI applications, such as IBM watsonx Orchestrate and Claude, to discover and execute deployed decision services.\n\n### Integrating decision services into IBM watsonx Orchestrate\n\nThe article [Enrich your watsonx Orchestrate chat experience with IBM Decision Intelligence](https://medium.com/@orsinije/decision-intelligence-mcp-server-tutorial-watsonx-orchestrate-4d5a200fbe08) demontrates how to integrate the capability to discover and execute decisions in an IBM watsonx Orchestrate agent by using the Decision Intelligence MCP server.\n\nSee the [IBM watsonx Orchestrate integration page](./doc/integration-wxo.md) for passing sensitive configuration settings to the IBM Decision Intelligence MCP Server.\n\n### Integrating decision services into Claude Desktop\n\nYou can integrate decision services into Claude Desktop by adding the MCP server.\n\n1. Locate the Claude Desktop configuration file.\n\n Find your Claude configuration directory:\n - **macOS**: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n - **Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\n - **Linux**: `${HOME}/.config/Claude/claude_desktop_config.json`\n\n\n2. Add the MCP server configuration to the configuration file.\n\n - In the configuration directory, edit or create `claude_desktop_config.json`:\n\n ```json\n {\n [..]\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"di-mcp-server\",\n \"--di-apikey\",\n \"\",\n \"--url\",\n \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\"\n ]\n }\n }\n [..]\n }\n ```\n - Alternatively, you can use the `APIKEY` and `URL` environment variables to respectively specify the API key and the base URL of the decision runtime REST API:\n\n ```json\n {\n [..]\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"di-mcp-server\"],\n \"env\": {\n \"DI_APIKEY\": \"\",\n \"URL\": \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\"\n }\n }\n }\n [..]\n }\n ```\n\nFor more information, see https://modelcontextprotocol.io/quickstart/user.\n\n### Integrating decision services into Cursor\n\nYou can integrate decision services into Cursor by adding the MCP server.\n\n1. In Cursor, click the cog wheel icon to open the Cursor settings.\n\n2. Click **Tools & Integration** in the settings categories that are listed on the left.\n\n [![Thumbnail](./doc/cursor1-thumbnail.png)](doc/cursor1.png)\n\n3. Click **+ New MCP Server**, to open Cursor's `mcp.json` configuration file.\n\n [![Thumbnail](./doc/cursor2-thumbnail.png)](doc/cursor2.png)\n\n4. Add a new MCP server entry.\n\n As for Claude Desktop, you can specify the API key and base URL of the decision runtime REST API using with one of the following methods:\n - Using command line arguments:\n ```json\n {\n [..]\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"di-mcp-server\",\n \"--di-apikey\",\n \"\",\n \"--url\",\n \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\"\n ]\n }\n }\n [..]\n }\n ```\n - Using environment variables: \n ```json\n {\n [..]\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"di-mcp-server\"],\n \"env\": {\n \"DI_APIKEY\": \"\",\n \"URL\": \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\"\n }\n }\n }\n [..]\n }\n ```\n\nFor more information, see [_Installing MCP servers_](https://docs.cursor.com/en/context/mcp#installing-mcp-servers) in the Cursor documentation.\n\n## Using custom tool names\n\nWhen you integrate with MCP hosts, you might need to customize the tool names to meet specific requirements or limitations, such as:\n- Maximum length restrictions\n- Forbidden characters\n- Naming conventions\n\n### Default tool naming algorithm\n\nBy default, tool names are generated in the following way:\n1. Combines the decision service name with the operation ID: `decisionServiceName operationID`\n2. Replaces spaces and forward slashes with underscores: `decisionServiceName_operationID`\n3. Handles name collisions by using the decision service ID: use `decisionServiceID_operationID` if `decisionServiceName_operationID` already exists \n\n### Customizing tool names with the decision runtime REST API\n\nIf the default naming strategy doesn't meet the requirements of your MCP hosts, you can specify custom tool names by setting the `mcpToolName.OPERATION_ID` decision metadata:\n```json\n{\n \"map\": {\n [..]\n \"mcpToolName.OPERATION_ID\": {\n \"name\": \"mcpToolName.OPERATION_ID\",\n \"kind\": \"PLAIN\",\n \"readOnly\": false,\n \"value\": \"YourCustomToolName\"\n }\n [..]\n }\n}\n```\nwhere\n- `OPERATION_ID` is the operation unique identifier\n- `YourCustomToolName` is the desired tool name for the operation\n\n### Filtering exposed decision services\n\nBy default, the MCP server exposes **all** decision services from the specified deployment spaces as tools.\nYou can filter which decision services are exposed using one of two methods:\n\n#### Method 1: Filter by decision service IDs\n\nUse the `--decision-service-ids` option to expose only specific decision services by their unique identifiers.\n\nThe decision service ID is defined in the `decisionServiceId` metadata of the deployed decision service.\n\n**Example configuration:**\n\n```json\n{\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"di-mcp-server\",\n \"--di-apikey\",\n \"\",\n \"--url\",\n \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\",\n \"--decision-service-ids\",\n \"loan-approval,credit-scoring\"\n ]\n }\n }\n}\n```\n\n#### Method 2: Filter by MCP groups\n\nUse the `--mcp-groups` option to expose decision services that belong to specific logical groups. This is useful for organizing decision services by domain, team, or use case.\n\nThe MCP groups are defined in the `mcpGroups` metadata of the deployed decision service as a comma-separated list.\n\n**Example configuration:**\n\n```json\n{\n \"mcpServers\": {\n \"di-mcp-server\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"di-mcp-server\",\n \"--di-apikey\",\n \"\",\n \"--url\",\n \"https://.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1\",\n \"--mcp-groups\",\n \"finance,risk-management\"\n ]\n }\n }\n}\n```\n\n## Dynamic Tool Updates\n\nFor information about how the MCP server automatically detects and notifies clients of tool changes, see [Dynamic Tool Updates](./doc/dynamic-tool-updates.md).\n\n\n## Technical details\n\n```mermaid\nflowchart LR\n github[\"di-mcp-server github repository\"] -- publish --> registry\n registry[\"NPM registry\"] -- npx -y di-mcp-server--> server\n\n subgraph MCP Host \n client[\"MCP Client\"] <-- MCP/STDIO --> server(\"DI MCP Server\")\n end\n\n server -- HTTPS --> runtime(\"Decision Runtime\")\n\n subgraph id[\"Decision Intelligence
or Automation Decision Services\"]\n runtime\n end\n\n\n client <-- MCP/HTTP --> server2(\"DI MCP Server\") -- HTTPS --> runtime\n\n```\n\n\n\n## License\n[Apache 2.0](LICENSE)\n\n## Notice\n\n```text\nCopyright contributors to the IBM ADS/Decision Intelligence MCP Server project\n\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License.You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.\n```\n\n","readmeFilename":"README.md"}