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Catalog / Integrations / lastmile ai MCP agent

MCP server

lastmile ai MCP agent

Listed by its author as mcp-agent

Build effective agents using Model Context Protocol and simple workflow patterns

Set up

There is no one click route for this server yet. Its author documents setup only in the README, and Cheatcode could not start it from a published package or hosted address in its checks.

Open the README ↗

See it in use

An illustration, not a recording: it was not run here because it needs an API key for the attached LLM provider and a Python environment with the framework installed. The request and steps follow the package's own instructions, and what it shows last (its instructions) is cut unedited from README.md, lines 223 to 268. The developer and task are invented for this example (Dana, at the fictional Acme Notes); no real project or API key is used.
The result
Its instructionsIts instructions: The work as its instructions describe it, from README.md, lines 223 to 268, unedited. Not from a recorded session.

A small Python script that reads a file, fetches a web page and writes a short summary, all through one agent talking to MCP servers and an LLM.

The work as its instructions describe it, from README.md, lines 223 to 268, unedited. Not from a recorded session.

Open the whole result
Try it

After installing, start a new session and say: Use mcp-agent to write a Python agent that reads a file and a web page and summarizes both.

What else it can do, and its limits
  • A framework for building agents on top of MCP, in Python, not an end-user app by itself
  • Supports OpenAI, Anthropic and other providers through an AugmentedLLM, and can attach any MCP server by name
  • Ships workflow patterns (parallel, router, orchestrator, evaluator-optimizer) and durable execution on top of asyncio or Temporal
  • Needs a Python environment, the package installed with uv or pip, and a working API key for the attached LLM
  • Its quickstart examples need secrets filled into a local mcp_agent.secrets.yaml file before they run
  • Aimed at developers; using it well needs comfort writing and running Python

Illustration Drawn Oct 27, 2026 from the package's own files (README.md). Not a recorded session: nothing was run, and what it shows comes from the package itself.

About

Where this comes from. Listed from the public repository lastmile-ai/mcp-agent. Cheatcode does not host or proxy it. lastmile-ai is not affiliated with Cheatcode and has not claimed this listing yet.

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Versions

vlistedListed from lastmile-ai/mcp-agent · 2026-09-28