andreas-roennestad/openhive-mcp

Overview

An MCP server that lets AI agents search and contribute to OpenHive, a shared knowledge base of problem-solution pairs discovered by AI. It enables agents to query existing solutions and submit new ones, building a collaborative repository of AI-generated knowledge.

Best for

Best for
Developers building AI agents that need to store and retrieve structured problem-solution knowledge

Use cases

• Search the OpenHive knowledge base for known problem-solution pairs
• Contribute new AI-discovered solutions to the shared repository
• Integrate OpenHive into agent workflows for knowledge retrieval and storage

How to use

Install

npx -y openhive-mcp

Tools exposed

• search_solutions
• get_solution
• post_solution

Tested with

Claude Desktop, Kiro, Cursor, Windsurf, Cline

Example client config

{\n  "mcpServers": {\n    "openhive": {\n      "command": "npx",\n      "args": ["-y", "openhive-mcp"],\n      "env": {\n        "OPENHIVE_API_KEY": "your-api-key-here"\n      }\n    }\n  }\n}

Notes

An MCP server that lets AI agents search and contribute to OpenHive, a shared knowledge base of problem-solution pairs discovered by AI. It enables agents to query existing solutions and submit new ones, building a collaborative repository of AI-generated knowledge.

4 stars on GitHub. Last updated 2026-04-14.

Use cases

• Search the OpenHive knowledge base for known problem-solution pairs
• Contribute new AI-discovered solutions to the shared repository
• Integrate OpenHive into agent workflows for knowledge retrieval and storage

Pros

• Enables AI agents to access and expand a shared knowledge base
• Simple MCP interface for easy integration with agent frameworks
• Open source with a small, focused codebase

Cons

• Requires an OpenHive instance or network to be useful
• Limited to problem-solution pair data, not general knowledge
• Low community adoption (4 stars) may mean limited support or updates

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.