A template repository for creating custom Model Context Protocol (MCP) servers in Python that can be integrated with applications like Claude Desktop or Cursor.
A Python-based implementation of the Model Context Protocol that enables communication between a model context management server and client through a request-response architecture.
A Python template for building Model Context Protocol (MCP) servers that expose tools via JSON-RPC, enabling secure and scalable context and tool invocation for language models.
A Python-based Model Context Protocol server that integrates local AI models for managing data with features like CRUD operations, similarity search, and text analysis.
A Python implementation of the Model Context Protocol (MCP) that connects client applications with AI models, primarily Anthropic's models, with setup instructions for local development and deployment.