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mcp
Mcp — official supadata mcp server - adds powerful video & we, open-source.
★ 64 スターMIT
ガイドを見る →mcp-google-mapは、cablateが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: cablate/mcp-google-map）。GitHubスターは467、フォークは92で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月26日です。
18 Google Maps tools and 3 agent skills over MCP or CLI.
Add it from npm.
Configure Google Maps credentials.
Expose the tools to your agent.
Agents handle maps tasks.
Search, routes, geocoding, and more.
Packaged skills for common tasks.
Agents plan real trips.
Place data for SEO work.
Two ways to call it.
One-command install.
Add the npm package globally.
npm install -g @cablate/mcp-google-mapSet your Google Maps API key.
export GOOGLE_MAPS_API_KEY=your_keyLaunch the MCP server.
mcp-google-mapGoogle Maps tools and agent skills over MCP, at cablate/mcp-google-map.
18 tools plus 3 agent skills.
Yes. A Google Maps API key.
The package is MIT licensed; Google API usage is billed by Google.
Both: use it as an MCP server or standalone CLI.
Mcp — official supadata mcp server - adds powerful video & we, open-source.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Official agent skills that teach AI coding tools to work with Supabase.
Agent-native control plane for ComfyUI — generate media in plain chat.
Local codebase intelligence CLI and MCP for coding agents.
Write an agent skill once, sync it to 32 AI coding tools.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — mcp-google-mapが合わなかった場合に検討したい、現実的な候補リストです。
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
カタログの中でmcp-google-mapとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
Cut AI context cost with reversible, byte-exact compression.
An AI-native local dev tool giving agents a real environment.
A local-first context and memory layer for your AI agents.
A no-install GUI for Ollama and other local LLM providers.
AI-native video editing on real timelines with local agents.
A cautious, explainable AI-like text risk analysis tool for local workflows and coding