A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.

A Model Context Protocol server that enables interaction with GitLab accounts to manage repositories, merge requests, code reviews, and CI/CD pipelines through natural language.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.

A Python server that enables AI assistants to perform hybrid search queries against Apache Solr indexes through the Model Context Protocol, combining keyword precision with vector-based semantic understanding.

Provides integration with OpenRouter.ai, allowing access to various AI models through a unified interface.

Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.

A personal MCP server for securely storing and accessing API keys across projects using the macOS Keychain, letting AI assistants and applications retrieve credentials through natural language.

An MCP tool that synchronizes user preferences, personal details, and code standards across multiple Claude interfaces, allowing users to maintain consistent personalized AI interactions without repeating themselves.

A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records.

Connects Claude with the Intervals.icu API to retrieve fitness data including activities, workouts, wellness metrics, and training events.

This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.

Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.

Search web using baidu with AI.

Kagi search API integration

MCP server that integrates with Shopify API, allowing Claude Desktop users to retrieve and manipulate product information from Shopify stores.

A Model Context Protocol server implementation that enables AI assistants to interact with the Paradex perpetual futures trading platform, allowing for retrieving market data, managing trading accounts, placing orders, and monitoring positions.