andreas-roennestad/openhive-mcp
by Various
MCP server for OpenHive — search and contribute to a shared knowledge base of AI-discovered problem-solution pairs
MCP
andreas-roennestad/openhive-mcp
Added 1 June 2026
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
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.
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
Pairs with
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