Streamable HTTP based MCP server and Client demo with auto registry, Dockerfile setup and env.
Streamable HTTP based MCP server and Client demo with auto registry, Dockerfile setup and env.
The Model Context Protocol (MCP) is a powerful framework that enables developers to build AI applications with large language models (LLMs) by providing a standardized way to connect models with external data sources and tools.
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Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
A configurable Model Context Protocol (MCP) server that provides searchable access to multiple AI/ML SDK documentation and source code. Currently
This Python implementation adapts the original concept to run as python based MCP using [FastMCP](https://github.com/jlowin/fastmcp)
Renders letters as print ready PDFs, DIN 5008 compliant for German window envelopes.
An MCP server for the Story SDK and Storyscan Block Explorer