lastmile-ai/mcp-agent
Build effective agents using Model Context Protocol and simple workflow patterns observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 64
- Release rhythm 40
- Longevity 44
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 8.0
- age_days: 624
- days_rel: 481
- days_push: 220
- n_releases_24m: 9
Adoption not part of the score
8519 stars · 880 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
mcp-agent is a Python framework for building AI agents on top of the Model Context Protocol (MCP) using simple, composable workflow patterns. It handles MCP server connection lifecycles, implements the patterns from Anthropic's 'Building Effective Agents' essay, and supports durable, pausable/resumable agent workflows backed by Temporal.
Use cases
- build ai agents using the model context protocol in python
- implement anthropic's building effective agents patterns like routing and parallelization
- manage mcp server connections and lifecycles for an llm agent
- create durable resumable agent workflows with temporal
- orchestrate multiple mcp servers in a single agent application
- chain llm calls into composable multi-step agent workflows
- build a multi-agent system with evaluator and orchestrator patterns
When to choose
- you are building agents in Python that connect to MCP servers and want connection lifecycle handled for you
- you want ready-made, composable implementations of Anthropic's effective agent patterns rather than hand-rolling orchestration
- you need agents that can pause, resume, and recover via durable execution on Temporal without changing your agent API
- you want a lightweight SDK that scales from simple single-agent scripts to sophisticated workflows
When to avoid
- your project is not in Python, since mcp-agent is a Python-only SDK
- you just need a single LLM API call with no MCP tool integration or workflow orchestration
- you want a turnkey chatbot product with UI rather than a framework for writing agent code
- you cannot run or access a Temporal service and require durable workflow features
Facets
framework · maturity active
agent-framework mcp workflow-automation llm-inference artificial-intelligence large-language-models developer-tools python cross-platform model-context-protocol temporal durable-execution agent-patterns llm-orchestration anthropic openai ai-agents
1 source
- readme: https://github.com/lastmile-ai/mcp-agent · fetched 2026-08-28 · 4f5722d21f3b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lastmile-ai/mcp-agent | main | 52 |
For agents
markdown · JSON · MCP: product_card(name="lastmile-ai/mcp-agent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem