mcp MCP Server
IBM/mcp
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A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
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IBM/mcp is a MCP server licensed under Apache-2.0. A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM. Topics: agents, llm, mcp, modelcontextprotocol, toolcalling, tools.
Ranked #5342 out of 24846 indexed tools.
Has 35 contributors.
Ecosystem
Apache-2.0
agentsllmmcpmodelcontextprotocoltoolcallingtools
Score Breakdown
Stars 15% 413
413 stars → growing community
Freshness 25% 27d ago
Last commit 27d ago → recently updated
Issue Health 25% 0%
0/3 issues closed → many open issues
Contributors 10% 35
35 contributors → active community
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 94
Description Good
License Apache-2.0
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Issue Health high impact
Dependents medium impact
Matched Queries
From the README
# IBM MCP A collection of Model Context Protocol (MCP) servers, MCP Clients and Developer Tools by IBM. Connect your IBM products to any AI Agent or AI application. ## What is MCP? MCP is an open-source protocol designed to enable AI models to securely interact with local and remote resources through standardized server implementations. This collection of IBM MCP services focuses on both production-ready and experimental MCP servers that enhance AI capabilities by providing file access, database connections, API integrations, and additional contextual services. ## Available MCP Servers #### ⚙️ Automation | Server name | Description | Usage | |---|---|---| | [IBM MQ Server](https://github.com/ibm-messaging/mq-mcp-server) | Provides access to IBM MQ queue managers health checks, and to run any MQSC command against a specific queue manager. | *see link for instructions* | | [IBM App Connect](https://www.ibm.com/docs/en/app-connect/13.0.x?topic=dashboard-creating-managing-mcp-serversRead full README on GitHub →
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