关键词 "documentation retrieval" 的搜索结果, 共 24 条, 只显示前 480 条
MCP (Minimal Command Protocol) server that allows users to search for documentation from popular libraries such as LangChain, LlamaIndex, and OpenAI using the Serper API. The server fetches search res
A "rosetta stone" repo that shows creating simple geocoder MCP servers in python (with googlemaps sdk and direct googlemaps API with urllib) and typescript. CLI clients and documentation on adding the
pydantic agent workflow using mcp servers to test out advanced retrieval of linked data
The Facebook Ads MCP Server offers robust Facebook Ads integration, featuring account listing, detailed retrieval of campaigns, ad sets, ads, and creatives, along with performance insights and change
Implementation of MCP documentation's "quickstart" server
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server
An MCP server that can work with Claude desktop to fetch documentation from langchain, llama-index, and OpenAI.
Instead of dumping 100+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, preve
This demonstration project shows how to implement a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities. The demo allows AI models to interact with a knowledge b
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
This is a lightweight, plug-and-play MCP server that empowers any LLM to dynamically search and retrieve up-to-date documentation from popular AI libraries such as LangChain, LlamaIndex, and OpenAI.
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your docum
Mirror of
A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel A
a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
Model Context Protocol documentation server for LangGraph and MCP.
This project provides an MCP (Multi-Channel Pipeline) server that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game
Developed an MCP-based AI infrastructure enabling real-time tool execution, structured knowledge retrieval, and dynamic agentic interactions for AI clients like Claude and Cursor.
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