{"data":{"slug":"arcadeai-arcade-mcp","name":"arcade-mcp","tagline":"MCP Server Framework and Tool Development Library for Custom Agent Capabilities","github_url":"https://github.com/ArcadeAI/arcade-mcp","owner":"ArcadeAI","repo":"arcade-mcp","owner_avatar_url":"https://avatars.githubusercontent.com/u/153409375?v=4","primary_language":"Python","stars":1030,"forks":113,"topics":["ai","arcade","arcade-ai","claude","claude-code","claude-mcp","mcp","mcp-framework","mcp-gateway","mcp-runtime","mcp-server","mcp-servers","mcp-tools","mcpserver","model-context-protocol","model-context-protocol-sdk","python"],"archived":false,"github_pushed_at":"2026-09-19T01:17:54+00:00","maintenance_label":"Very active","stars_delta_30d":49,"url":"https://www.graphcanon.com/tools/arcadeai-arcade-mcp","markdown_url":"https://www.graphcanon.com/tools/arcadeai-arcade-mcp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arcadeai-arcade-mcp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arcadeai-arcade-mcp","description":"MCP Server Framework and Tool Development library for building custom capabilities into agents. ","homepage_url":"https://docs.arcade.dev","license":"MIT","open_issues":22,"watchers":7,"ai_summary":"This repository provides a framework and tools for developing custom capabilities in AI agents using the MCP protocol.","readme_excerpt":"### Install the CLI\n\n```bash\nuv tool install arcade-mcp\n```\n\n---\n\n## Install from Source\n\nRequires Python 3.10+ and [`uv`](https://docs.astral.sh/uv/).\n\n```bash\ngit clone https://github.com/ArcadeAI/arcade-mcp.git\ncd arcade-mcp\nmake install\n```\n\nSee [`CONTRIBUTING.md`](CONTRIBUTING.md) for development workflow and [`SECURITY.md`](SECURITY.md) for vulnerability reporting.\n\n---\n\n## License\n\nMIT. See [`LICENSE`](LICENSE).","github_created_at":"2024-04-26T22:25:48+00:00","created_at":"2026-07-11T11:53:15.938108+00:00","updated_at":"2026-09-20T06:43:03.639385+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"arcade-ai","name":"arcade-ai"},{"slug":"mcp-framework","name":"mcp-framework"},{"slug":"model-context-protocol","name":"model-context-protocol"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":792542977,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T03:56:25.552Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1,"last_release_at":null,"stars_delta_30d":49,"open_issues_delta_30d":6},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:53:17.665Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T03:56:26.565Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-20T03:56:26.565Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-20T03:56:26.565Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T03:56:26.565Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"requires_docker":false},"when_to_use":["When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol."],"when_not_to_use":["If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity.","When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks."],"source":"enrich:decision_facts","observed_at":"2026-07-16T19:56:17.207Z"},"constraint_facets":{"min_ram_gb":4,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Min 4 GB RAM"},{"label":"Adopt for","value":"Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol."}]}}