AI agents and model context protocol

32 repos

Tools and frameworks for building AI agents that interact with external systems through standardized interfaces, particularly using the Model Context Protocol (MCP) standard. The cluster spans Python backends for AI orchestration and TypeScript/JavaScript frontends for agent interfaces, with supporting infrastructure for knowledge retrieval, spatial data processing, and skill composition. Projects range from foundational protocol implementations to end-user applications leveraging LLMs to reason about and act on structured data.

Python · 13

TypeScript · 5

Go · 4

Rust · 2

Shell · 2

R · 1

mcp ·143,672

ai ·100,720

javascript ·99,430

react ·99,430

nodejs ·80,661

video ·58,910

self-hosted ·53,464

openclaw ·48,454

python ·48,109

multi-agent ·48,038

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