{"data":{"slug":"lastmile-ai-mcp-agent","name":"mcp-agent","tagline":"Build effective AI agents with Model Context Protocol.","github_url":"https://github.com/lastmile-ai/mcp-agent","owner":"lastmile-ai","repo":"mcp-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/123273171?v=4","primary_language":"Python","stars":8518,"forks":879,"topics":["agents","ai","ai-agents","llm","llms","mcp","model-context-protocol","python"],"archived":false,"github_pushed_at":"2026-01-25T16:35:16+00:00","maintenance_label":"Slowing","stars_delta_30d":40,"url":"https://www.graphcanon.com/tools/lastmile-ai-mcp-agent","markdown_url":"https://www.graphcanon.com/tools/lastmile-ai-mcp-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lastmile-ai-mcp-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lastmile-ai-mcp-agent","description":"Build effective agents using Model Context Protocol and simple workflow patterns","homepage_url":null,"license":"Apache-2.0","open_issues":134,"watchers":48,"ai_summary":"Offers tools for creating efficient AI agents using the Model Context Protocol and workflow patterns.","readme_excerpt":"# The [Getting Started guide](https://docs.mcp-agent.com/get-started/overview) walks through configuration and secrets in detail.\n\n```\n\n---\n\n### Installation\n\nWe recommend using [uv](https://docs.astral.sh/uv/) to manage your Python projects (`uv init`).\n\n```bash\nuv add \"mcp-agent\"\n```\n\nAlternatively:\n\n```bash\npip install mcp-agent\n```\n\nAlso add optional packages for LLM providers (e.g. `uv add \"mcp-agent[openai, anthropic, google, azure, bedrock]\"`).\n\n---\n\n## Cloud deployment\n\nDeploy to mcp-agent Cloud for managed Temporal execution, secrets, and HTTPS MCP endpoints.\n\n```bash\nuvx mcp-agent login\nuvx mcp-agent deploy my-agent\nuvx mcp-agent cloud apps list\n```\n\nDocs: [Cloud overview](https://docs.mcp-agent.com/cloud/overview) • [Deployment quickstart](https://docs.mcp-agent.com/cloud/deployment-quickstart) • Examples: [`examples/cloud`](./examples/cloud/).","github_created_at":"2024-12-18T01:55:10+00:00","created_at":"2026-07-11T11:49:50.906675+00:00","updated_at":"2026-08-26T06:00:58.6738+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":"agents","name":"agents"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"llm","name":"llm"},{"slug":"mcp","name":"mcp"},{"slug":"model-context-protocol","name":"model-context-protocol"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":905016458,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-26T06:00:57.730Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":212,"last_release_at":"2025-05-09T16:54:50Z","stars_delta_30d":40,"open_issues_delta_30d":-6},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:49:52.048Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-26T06:00:58.381Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-08-26T06:00:58.381Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-26T06:00:58.381Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-26T06:00:58.381Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Need to implement the Model Context Protocol specifically in your agent development","Prefer tools that offer straightforward integration of predefined workflow patterns"],"when_not_to_use":["Require a more customizable approach beyond pre-defined protocol and workflows","Project demands specific AI frameworks unsupported by Model Context Protocol directly"],"source":"enrich:decision_facts","observed_at":"2026-07-16T18:51:45.704Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Allows creation of efficient AI agents via Model Context Protocol with workflow patterns"}]}}