Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.

PageIndex MCP is an inference-based vectorless RAG system. Through the MCP protocol, it exposes the tree-like index of documents to LLMs, enabling platforms such as Claude to retrieve information from PDF documents through structural reasoning like human experts, without the need for a vector database.

The Pinecone MCP Server is a model context protocol server designed for Claude Desktop, providing read and write interaction capabilities with Pinecone indexes.

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

An implementation of the MCP Server for Elasticsearch/OpenSearch, providing document search, index analysis, and cluster management functions.

CICADA is an MCP server that provides structured code indexing for AI code assistants. Through AST-level indexing, call site tracking, and semantic search, it provides efficient context compression for Elixir, Python, and Erlang code repositories, reducing token usage and improving the quality of code understanding.

The DynamoDB MCP Server is a tool based on the Model Context Protocol for managing and operating Amazon DynamoDB resources, providing functions such as table management, index management, capacity management, and data operations.

The WindTools MCP Server is a code assistant service based on ChromaDB and sentence transformers, providing document embedding and retrieval functions, and supporting codebase indexing and semantic search.

A tool for fuzzy searching and browsing Apple Messages (iMessage/SMS) in the command line, Claude Code plugin, or MCP server, supporting automatic indexing, contact resolution, and context display.

Docdex is a lightweight local document indexing and search daemon that builds an index of Markdown/text files on the local disk for each project and provides search fragments via HTTP API or CLI without external services or uploads.

This project implements an MCP server for Elasticsearch, providing tools and resources for interacting with the Elasticsearch cluster, including functions such as index listing, mapping retrieval, and search, and supporting access to Elasticsearch data through the MCP protocol.

This project is an experimental Model Context Protocol (MCP) server for interacting with the Algolia API. It allows users to perform operations such as searching, adding data, and updating index configurations through the MCP protocol. The project provides installation guides, debugging methods, and instructions for integrating with Ollama, but clearly states that it does not provide official support.

AiDex is an MCP server that provides AI programming assistants with instant access to the entire codebase. It enables fast and precise code search through a persistent pre-built index, supports 11 programming languages, includes 28 tools, and can significantly reduce the waste of the AI context window.

Skill Retriever is an MCP server based on a graph database, specifically designed for the retrieval and installation of Claude Code components. It automatically indexes component repositories on GitHub, returns the minimum correct set of components and their dependencies based on task descriptions through semantic search and graph traversal algorithms, and supports security scanning and automatic synchronization and updates.

A hot news server based on the MCP protocol that aggregates real - time hot topics from 9 major Chinese mainstream social platforms and news websites, supporting AI model integration and popularity index display.

The Searchcraft MCP Server is a toolset based on the Searchcraft vertical search engine, used to manage documents, indexes, federations, access keys, and analytical data, and supports performing management operations through natural language instructions.

GitHub Chat MCP is a Model Context Protocol tool for analyzing and querying GitHub repositories through the GitHub Chat API, providing repository indexing and querying functions.

An MCP server that provides code context for AI assistants by indexing local code into a graph database, supporting code analysis, relationship query, and real - time update functions.

Bookworm is a toolset for processing docs.rs documentation, including functions such as downloading, indexing, and querying documentation, and provides an MCP service interface for LLM calls.

This project implements an MCP server based on the FAISS vector database, supporting the Retrieval Augmented Generation (RAG) function, including a complete workflow such as GitHub file download, document indexing, local query, and LLM integration.

The FedRAMP Docs MCP Server provides a structured query and analysis tool for the official FedRAMP document library, supporting FRMR dataset indexing, document search, and version comparison functions

Codeix is a fast semantic code search tool designed for AI code assistants. By building a code index that can be committed to Git, it enables the search for symbols, references, and callers across codebases, improving the code location efficiency of AI agents.

A document indexing system based on PostgreSQL and pgvector, supporting AI - driven semantic search, including functions for crawling, processing, and querying documents.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

An experimental local code indexing service based on Python that uses ChromaDB for storage and provides semantic search functionality, serving tools such as Cursor through the MCP protocol.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

Implementation of the Index Network MCP server for integrating ChatGPT with the Index Network discovery protocol, providing React widget development and hot reload functionality

This is a Model Context Protocol server developed for the Sitecore content management system, providing various tools such as GraphQL API, item service API, PowerShell script execution, security management, and index management. It supports integration with AI assistants through the MCP protocol for Sitecore content management operations.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

An MCP server that provides CoinMarketCap cryptocurrency data, supporting access to multiple API endpoints and intelligent caching.

TeaRAGs is a semantic code search MCP server designed for coding agents. It supports large - scale codebases through AST - aware chunking and incremental indexing, and uses Git trajectories (such as 19 signals including code changes, author information, and defect repair rates) for intelligent re - ranking, surpassing traditional embedding similarity retrieval.

Code Index MCP is a code indexing and analysis server based on the Model Context Protocol (MCP), providing functions such as code search, file analysis, and intelligent filtering. It supports multiple programming languages and helps developers efficiently manage codebases.

The MCP Document Indexer is a Python - based local document indexing and search server that uses the LanceDB vector database and a local LLM (through Ollama) to implement real - time monitoring, multi - format document processing, and semantic search, and provides tools for AI assistants such as Claude through the Model Context Protocol (MCP).

The Pinecone Developer MCP Server is a service based on the Model Context Protocol standard, aiming to connect AI tools with Pinecone projects, providing functions such as document search, index configuration, code generation, and data operation.

The OpenSearch MCP service is a model context protocol server for OpenSearch integration, providing functions such as index management, cluster management, and document search.

The AI Agent Marketplace Index Search MCP Server provides the function of searching for AI agents by keyword or category, supports monitoring agent performance indicators, and provides API access services.

A local file system MCP server developed based on GoMcp, providing query and file open APIs, supporting SQLite3 storage of indexes and interface operations.

A server based on the Model Context Protocol (MCP) that provides localized documentation search and configuration query functions for Klipper 3D printer firmware to Claude Desktop, supporting real - time synchronization of the official documentation library and building a full - text retrieval index.

This project is an MCP server for the Google Search Console API, which provides search console functions in n8n workflows through the MCP client node, including listing sites, getting search analytics data, checking URL index status, etc.

A local code indexing and semantic search tool