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mcpkit enables rapid creation of MCP servers with Zod-based tool definitions, automatic schema generation, and built-in validation, reducing boilerplate significantly.

Enables semantic search and document management with support for text, PDF, and image uploads using your own Supabase database and OpenAI API keys. Supports multi-tenant deployment on Cloudflare Workers or local hosting.

Enables semantic search and management of development knowledge including global rules, project documentation, and references through vector-based search using libSQL. Features Tailscale-secured access control and tools for searching, browsing, and organizing development resources across multiple channels.

Express-based API for Lviv transport timetable data with a read-only MCP endpoint.

A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.

Lightweight MCP wrappers that consolidate multiple tools from services like Supabase, Linear, Chrome DevTools, and Context7 into single-action tools, reducing context token usage by ~80% while maintaining full functionality.

MCP Live Events

全面解析MCP Live EventsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Live Events能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A FastAPI-based MCP server that enables LLM agents to interact with Ollama models through standardized MCP tools, with optional MySQL and Redis integration for data persistence and caching.

An MCP server that indexes local Python projects into a SQLite database to enable efficient symbol searching and dependency tracking. It allows users to find function or class definitions, trace module imports, and read file contents through natural language interfaces.

Enables task management through a local MySQL database, supporting full CRUD operations and automated tracking of status transitions. Users can create, search, and update tasks while maintaining a detailed progress history for all activities.

A system that localizes Model Context Protocol (MCP) functionality, integrating AI management through CPU and RAM without requiring a GPU.

A local development MCP server that exposes MySQL databases to VSCode and Copilot CLI with read-only SELECT queries and INSERT/UPDATE operations. It provides secure, schema-specific database access for development environments only.

Enables direct interaction with local WordPress development sites through Local by Flywheel database connections. Provides read-only access to WordPress data including posts, users, options, and custom queries for development and analysis.

MCP servers are installed via npx -y @scope/package — which silently downloads the latest version every time your AI tool starts, with no integrity check. mcp-lock fixes this by recording exact tarball hashes on first run and detecting any changes on every run after that — the same guarantee npm ci gives you for Node.js projects.

A personal fitness tracking server that enables logging and querying workouts, nutrition, and body metrics through a local SQLite database. Integrates with OpenNutrition MCP for food logging and supports exercise history tracking for workout progression.

Enables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.

Enables AI assistants to interact with MariaDB databases through standard SQL operations and advanced vector/embedding-based search. Supports database management, schema inspection, and semantic document storage and retrieval with multiple embedding providers.

An interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.

Enables AI assistants to interact with MariaDB databases through SQL operations and vector-based semantic search. Supports standard database queries, schema inspection, and optional embedding-powered document storage and retrieval.

MCP server for the Russian construction market — 3,395 contractor companies and 13,436 house-building projects across 18 regions. 21 tools for search, comparison, cost analytics, contractor recommendations, and quote requests.