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mcp

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by IBM

Overview

Connect IBM products and other enterprise systems to AI agents via the Model Context Protocol (MCP) to enable AI models to interact with various local and remote resources.

Installation

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Environment Variables

  • USERNAME
  • PASSWORD
  • SERVER_URL
  • OBJECT_STORE
  • AUTHORIZATION
  • X_MCP_SESSION
  • APIKEY
  • URL
  • ENDPOINT
  • USERID
  • ASTRA_DB_APPLICATION_TOKEN
  • ASTRA_DB_API_ENDPOINT
  • WATSONX_DATA_API_KEY
  • WATSONX_DATA_RETRIEVAL_ENDPOINT
  • WATSONX_DATA_TOKEN_GENERATION_ENDPOINT
  • DOCUMENT_LIBRARY_API_ENDPOINT
  • LH_CONTEXT
  • GITHUB_TOKEN
  • TOOLS_YAML_PATH
  • DB2i_HOST
  • DB2i_USER
  • DB2i_PASS
  • DB2i_PORT
  • TFE_ADDRESS
  • TFE_TOKEN
  • CONSUL_HTTP_ADDR
  • CONSUL_HTTP_TOKEN
  • CONSUL_DC1_TOKEN
  • VAULT_ADDR
  • VAULT_TOKEN
  • VAULT_NAMESPACE
  • HCP_PROJECT_ID
  • HCP_CLIENT_ID
  • HCP_CLIENT_SECRET

Security Notes

This repository serves as an index and configuration template for various Model Context Protocol (MCP) servers and does not contain executable server code that could pose direct security risks like 'eval' or obfuscation. The 'CONTRIBUTING.md' emphasizes following security best practices for contributions to individual MCP servers. The 'mcp.json' file correctly uses placeholder environment variables for credentials (e.g., API keys, tokens), ensuring no sensitive information is hardcoded in the repository itself. Critical security considerations lie with the individual linked MCP servers and the secure management of credentials by users during deployment and operation.

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Stats

Interest Score73
Security Score9
Cost ClassLow
Stars317
Forks61
Last Update2026-01-19

Tags

AI integrationEnterprise APIsResource managementAutomationData accessProtocol standardization