GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Allows creation of efficient AI agents via Model Context Protocol with workflow patterns
Good fit when
- Need to implement the Model Context Protocol specifically in your agent development
- Prefer tools that offer straightforward integration of predefined workflow patterns
Avoid when
- Require a more customizable approach beyond pre-defined protocol and workflows
- Project demands specific AI frameworks unsupported by Model Context Protocol directly
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (237d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No MCP manifest
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install mcp-agent PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Offers tools for creating efficient AI agents using the Model Context Protocol and workflow patterns.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
We recommend using [uv](https://docs.astral.sh/uv/) to manage your Python projects (`uv init`).Source link
Tags
README
The Getting Started guide walks through configuration and secrets in detail. bash uv add "mcp agent" bash pip install mcp agent bash uvx mcp agent login uvx mcp agent deploy my agent uvx mcp agent cloud apps list `` examples/cloud`](./examples/cloud/).
For agents
This page has a .md twin and JSON over the API.