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.

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.

o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.

A voice recording and transcription MCP server based on the Whisper model, which can be used as an extension of Goose AI or run independently, supporting various recording scenarios and model configurations.

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.

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.

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.

Omni-LPR is a self-hosted server with multiple interfaces (REST and MCP) that provides automatic license plate recognition (ALPR) functions and can be used as an independent microservice or a toolbox for AI agents.

This is an MCP server project that provides tools for interacting with Linear through the MCP client, including functions such as searching, creating, and updating issues. It supports Bun and Node running environments and can be compiled into an independent executable file.

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.

The SQL Stream Builder MCP Server is a comprehensive SSB management platform that provides full access to SSB functions through more than 80 MCP tools. It supports independent deployment and CDP deployment, covering functions such as job management, real-time data sampling, system monitoring, and user management.

MCP Composer is a gateway service for centrally managing multiple MCP servers, providing features such as dynamic server management, unified SSE interface, multi - endpoint support, and independent configuration.

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.

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.

The Multiverse MCP Server is a middleware server that supports running multiple MCP server instances of the same type simultaneously. Each instance has an independent namespace and configuration, achieving a completely isolated operating environment.

A voice recording and transcription MCP server based on the Whisper model, which can be run as an extension of Goose AI or an independent service.

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.

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

An MCP protocol server for extracting embedded data (such as i18n translations or key - value configurations) and SVG components from TypeScript/JavaScript source code, generating structured JSON configuration files and independent SVG files.

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.

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

An MCP server that provides background process management functionality, allowing LLMs to start, stop, and monitor long-running command-line processes, and includes an independent TUI monitoring interface.

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

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.

Aidderall is an MCP server implementation that provides hierarchical task management functions for AI assistants, helping them maintain focus and context in the process of solving complex problems. By creating independent tasks and subtasks, AI can freely switch focus, complete tasks in any order, and retain all tasks as work records.

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.

EvolveMCP is an open - source project that enables Claude AI to independently build, install, and use tools, expanding the practical capabilities of AI through Python code execution.

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

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.

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 project memory library management service based on SQLite, providing storage and retrieval functions for project background, decision records, progress updates, etc. through the MCP protocol, and supporting independent data management by project path.