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maintenanceEnables 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.
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"Generating a series of images using MCP from a sample image" matching MCP servers:
- FlicenseNot gradedqualityDmaintenanceProvides 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
- AlicenseAqualityCmaintenanceProvides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.4MIT
- AlicenseBqualityDmaintenanceA demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.24MIT
- AlicenseNot gradedqualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- AlicenseBqualityDmaintenanceShrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.155221MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- AlicenseNot gradedqualityDmaintenanceA 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
- AlicenseNot gradedqualityDmaintenanceEnables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.MIT
- AlicenseNot gradedqualityBmaintenanceProvides LLM-free search tools across Confluence, JIRA, code, and project knowledge for any MCP client.1MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables RAG (Retrieval-Augmented Generation) on markdown documents by converting them to embedding vectors and performing vector search using DuckDB.4Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables semantic search over local knowledge bases like Obsidian notes, SQLite, and plaintext files, exposing results to Claude via MCP server.
- FlicenseNot gradedqualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- FlicenseNot gradedqualityBmaintenanceProvides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.
- FlicenseDqualityDmaintenanceAn MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.112
- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.3,704637MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to search and retrieve historical Spanish Call of Duty gaming community posts, with free search previews and pay-per-page citation-ready access via x402.MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.1MIT
- AlicenseNot gradedqualityDmaintenanceA scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.31MIT
- AlicenseNot gradedqualityCmaintenanceTransforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.2519MIT