mcp-agent is by lastmile-ai — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Oct 5, 2026 · 8,567 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
MCP server · for humans & their agents
mcp-agent
unclaimed listingactively maintainedFreeApache-2.0
Build effective agents using Model Context Protocol and simple workflow patterns
by Open Source Community · New publisher
Build effective agents using Model Context Protocol and simple workflow patterns
lastmile-ai/mcp-agent is an open-source project by lastmile-ai: Build effective agents using Model Context Protocol and simple workflow patterns. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/lastmile-ai/mcp-agent
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Build effective agents with Model Context Protocol using simple, composable patterns.
Examples Building Effective Agents MCP
Overview
mcp-agent is a simple, composable framework to build effective agents using Model Context Protocol.
> mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.
mcp-agent gives you the following:
1. Full MCP support: It fully implements MCP, and handles the pesky business of managing the lifecycle of MCP server connections so you don't have to. 2. Effective agent patterns: It implements every pattern described in Anthropic's Building Effective Agents in a composable way, allowing you to chain these patterns together. 3. Durable agents: It works for simple agents and scales to sophisticated workflows built on Temporal so you can pause, resume, and recover without any API changes to your agent.
Altogether, this is the simplest and easiest way to build robust agent applications .
We welcome all kinds of contributions, feedback and your help in improving this project.
Minimal example
At a glance
Build an Agent Connect LLMs to MCP servers in simple, composable patterns like map-reduce, orchestrator, evaluator-optimizer, router & more. Quick Start ↗ Docs ↗ Create any kind of MCP Server Create MCP servers with a FastMCP-compatible API. You can even expose agents as MCP servers. MCP Agent Server ↗ 🎨 Build a ChatGPT App ↗ Examples ↗ Full MCP Support Core: Tools ✅ Resources ✅ Prompts ✅ Notifications ✅ Advanced : OAuth ✅ Sampling ✅ Elicitation ✅ Roots ✅ Examples ↗ MCP Docs ↗ Durable Execution (Temporal) Scales to production…
01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
No endorsements yetNo verified confirmations yet — be the first.
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Issues 0
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 5, 2026 | Indexed listing — see the upstream repository for real release history. |