GEMINI.md context files, MCP servers, TOML commands under .gemini/commands, and the extensions that bundle them. 56,566 indexed, measured the same four ways as everything else here.
Enhanced MCP server for interactive user feedback in AI-assisted development, featuring Web UI with intelligent environment detection and cross-platform compatibility. Runs locally from the gl-mcp-feedback Python package.
AI-native MCP server for SpecDown — let AI assistants read, search, and edit your Markdown spec docs. Spec as Code for AI-native teams. Runs locally from the specdown-mcp npm package.
Semantic intelligence layer for SQL Server databases, exposed via MCP. A database understanding engine for AI agents (Claude Code CLI, Codex CLI, Claude Desktop, etc.). Runs locally from the sqlserver-semantic-mcp Python package.
★not rated 3 22d agoA
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Full-access PostgreSQL server for Model Context Protocol with read/write capabilities and enhanced schema metadata. Runs locally from the mcp-postgres-full-access-extended npm package.
AI-powered code review for GitHub & GitLab. Works with any LLM: GPT-4o, Claude, Llama, Gemini, Ollama. Free, open source. Runs locally from the pr-reviewer Python package.
MCP server giving AI agents access to aviation data — live flights, airport weather, airline info. Runs locally from the aviation-mcp-server Python package.
★not rated 3 7mo agoA
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TypeScript diagnostics MCP server with monorepo support - live type checking without constant recompilation. Runs locally from the ts-diagnostics-mcp npm package.
★not rated 3 1y agoA
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A powerful MCP server for SQL Server — schema discovery, query execution, DDL, stored procedures, performance diagnostics & more. Runs locally from the @tugberkgunver/mcp-sqlserver npm package.
★not rated 3 6mo agoA
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Um servidor MCP para conectar agentes ao Apollo, um sistema de gerenciamento de configurações. Ele permite operar o centro de configurações por meio do protocolo MCP.
★not rated 3 7mo agoA
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originalMIT
MCP server for Compresh — production-grade context compression with TUL 2.0 query-aware retrieval (paid tier) over the open tulbase core. Runs locally from the compresh-mcp Python package.