Pickysteve
Skill router and context picker for Claude Code, Cursor, and Aider. Auto-picks the right skill for every prompt, with prompt-injection filtering for…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 182 of 226
Skill router and context picker for Claude Code, Cursor, and Aider. Auto-picks the right skill for every prompt, with prompt-injection filtering for…
MCP server that scans Solidity repos through a 7-gate verification framework (Al-Mizaan) to cut LLM false positives, benchmarked against Slither… 3 tools, with
Open-source, local-first training platform: calendar, AI assistant, Garmin & WHOOP sync — plus a TypeScript SDK, CLI, and MCP server for FIT, TCX…
# Unla - MCP Gateway > 🚀 Instantly transform your existing MCP Servers and APIs into [MCP](https://modelcontextprotocol.io/) endpoints — without changing a line of…
Portable doc bridge for AI agents — OKF + Self-Describe + AgentHandoff. CLI, MCP, Fumadocs/Docusaurus adapters.
Equip once. Run anywhere. Portable AI agents and toolkits—no vendor lock-in.
PostgreSQL migration linter. Blocks unsafe migrations before merge: 112 rules, the real Postgres parser, lock analysis, auto-fix.
# MCPHub: The Unified Hub for Model Context Protocol (MCP) Servers English | [Français](README.fr.md) | [中文版](README.zh.md) MCPHub makes it easy to manage and scale…
Long-term memory MCP server for AI coding agents. SQLite + FTS5 + vector search, CodeGraph, error learning, compaction survival.
Enterprise-level backend architecture solution with fastapi、sqlalchemy,、celery、pydantic、grafana、docker...
MCP server for Bing search: organic results, the ad block and the Copilot answer, with geo, market and language targeting. No Azure subscription. 1…
Local-first prompt library and version-control system for AI prompts (Desktop App, CLI, MCP Server, and AI execution engine).
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.