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maintenanceA Python MCP server providing AI agents with tools for local knowledge base search, business context retrieval, and text summarization prompt generation.
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"A Python script for merging CSV text and PNG images" matching MCP servers:
- Flicense-qualityDmaintenanceA Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.
- Flicense-qualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4
- Flicense-qualityBmaintenanceTranslates plain English questions about infrastructure operations into SQL queries, executes them against a database, and returns the real answer.
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- AlicenseAqualityAmaintenanceAn Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.232,334MIT
- AlicenseBqualityAmaintenanceMCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.246MIT
- FlicenseCqualityBmaintenanceGenerates production-ready short video scripts from real-time web search data using Tavily and Gemini, exposed as MCP tools.2
- Alicense-qualityCmaintenanceA proof of concept MCP server for Apache OFBiz7Apache 2.0
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityAmaintenanceProvides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.MIT
- Alicense-qualityCmaintenanceEnables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.1MIT
- Alicense-qualityDmaintenanceA Python implementation of the Model Context Protocol that enables applications to provide standardized context for LLMs, allowing developers to build servers that expose data and functionality to LLM applications.MIT
- Alicense-qualityDmaintenanceTurns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.1MIT
- Alicense-quality-maintenanceAn MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.
- Alicense-qualityCmaintenanceExtracts clean, structured Markdown text from web pages using WebforAI, making web content easily accessible for AI model consumption through the Model Context Protocol.MIT
- FlicenseAqualityDmaintenanceEnables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.12
- FlicenseCqualityBmaintenanceA Python server implementing the Model Context Protocol to provide customizable prompt templates, resources, and tools that enhance LLM interactions in the continue.dev environment.19
- Alicense-qualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- Alicense-qualityDmaintenanceA Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.MIT