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mcp-agent

lastmile-ai/mcp-agent

Build effective AI agents with Model Context Protocol.

GraphCanon updated 4w · GitHub synced 4w

8.5k stars866 forksLast push 7mo Python Apache-2.0

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 (181d since push)
As of 4w
Provenance
Not a fork · Organization account
As of 4w
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mcp-agent
PyPI

Similar 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] · Jul 26, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 26, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 26, 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.


---

### Installation

We recommend using [uv](https://docs.astral.sh/uv/) to manage your Python projects (`uv init`).

```bash
uv add "mcp-agent"

Alternatively:

pip install mcp-agent

Also add optional packages for LLM providers (e.g. uv add "mcp-agent[openai, anthropic, google, azure, bedrock]").


Cloud deployment

Deploy to mcp-agent Cloud for managed Temporal execution, secrets, and HTTPS MCP endpoints.

uvx mcp-agent login
uvx mcp-agent deploy my-agent
uvx mcp-agent cloud apps list

Docs: Cloud overviewDeployment quickstart • Examples: examples/cloud.

For agents

This page has a .md twin and JSON over the API.

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