--- title: "agent-opt vs mcp-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-opt-vs-lastmile-ai-mcp-agent" tools: ["future-agi-agent-opt", "lastmile-ai-mcp-agent"] --- # agent-opt vs mcp-agent *GraphCanon updated Aug 26, 2026* ## Verdict Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns. [agent-opt](https://app.futureagi.com) reports 71 GitHub stars, 7 forks, and 0 open issues, last pushed Jun 30, 2026. [mcp-agent](https://github.com/lastmile-ai/mcp-agent) has 8.5k stars, 879 forks, and 134 open issues, last pushed Jan 25, 2026. Figures are from public GitHub metadata via [agent-opt's repository](https://github.com/future-agi/agent-opt) and [mcp-agent's repository](https://github.com/lastmile-ai/mcp-agent). | | [agent-opt](/tools/future-agi-agent-opt.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Tagline | Open Source Library for Automated Optimization of AI Agent Workflows | Build effective AI agents with Model Context Protocol. | | Stars | 71 | 8,518 | | Forks | 7 | 879 | | Open issues | 0 | 134 | | Language | Python | Python | | Adopt for | Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies. | Allows creation of efficient AI agents via Model Context Protocol with workflow patterns | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-opt](/tools/future-agi-agent-opt.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 35d | 212d | | Open issues (now) | 0 | 134 | | Stars delta | Unknown | +40 (30d) | | Open issues delta | Unknown | -6 (30d) | | Full report | [trust report](/tools/future-agi-agent-opt/trust.md) | [trust report](/tools/lastmile-ai-mcp-agent/trust.md) | ## Shared compatibility - **Python**: [agent-opt](/tools/future-agi-agent-opt.md) - Python runtime; [mcp-agent](/tools/lastmile-ai-mcp-agent.md) - Python runtime ## Decision facts: agent-opt - **Adopt for:** Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies. ## Decision facts: mcp-agent - **Adopt for:** Allows creation of efficient AI agents via Model Context Protocol with workflow patterns ## Choose when ### Choose agent-opt if… - Tags unique to agent-opt: agent, aioptimization, automation, cicd. - Also covers Evaluation & Observability. - - When your project needs seamless CI/CD integration alongside automated optimization ### Choose mcp-agent if… - Tags unique to mcp-agent: agents, llm, mcp, model-context-protocol. - Need to implement the Model Context Protocol specifically in your agent development - More GitHub stars (8.5k vs 71) - visibility, not fit. ## When NOT to use agent-opt - - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - - In scenarios where CI/CD integration is not a priority for your AI workflow optimization ## When NOT to use mcp-agent - Require a more customizable approach beyond pre-defined protocol and workflows - Project demands specific AI frameworks unsupported by Model Context Protocol directly ## Common questions ### What is the difference between agent-opt and mcp-agent? agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. mcp-agent: Build effective AI agents with Model Context Protocol.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-opt over mcp-agent? Choose agent-opt over mcp-agent when Tags unique to agent-opt: agent, aioptimization, automation, cicd; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization. ### When should I choose mcp-agent over agent-opt? Choose mcp-agent over agent-opt when Tags unique to mcp-agent: agents, llm, mcp, model-context-protocol; Need to implement the Model Context Protocol specifically in your agent development; More GitHub stars (8.5k vs 71) - visibility, not fit. ### When should I avoid agent-opt? - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization ### When should I avoid mcp-agent? Require a more customizable approach beyond pre-defined protocol and workflows Project demands specific AI frameworks unsupported by Model Context Protocol directly ### Is agent-opt or mcp-agent more popular on GitHub? mcp-agent has more GitHub stars (8,518 vs 71). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-opt and mcp-agent open source? Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, mcp-agent: Apache-2.0). ### Where can I find alternatives to agent-opt or mcp-agent? GraphCanon lists graph-backed alternatives at [agent-opt alternatives](/tools/future-agi-agent-opt/alternatives) and [mcp-agent alternatives](/tools/lastmile-ai-mcp-agent/alternatives) ([agent-opt markdown twin](/tools/future-agi-agent-opt/alternatives.md), [mcp-agent markdown twin](/tools/lastmile-ai-mcp-agent/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/future-agi-agent-opt-vs-lastmile-ai-mcp-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-opt or mcp-agent? agent-opt: Steady. mcp-agent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agent-opt and mcp-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-opt trust report](/tools/future-agi-agent-opt/trust); [mcp-agent trust report](/tools/lastmile-ai-mcp-agent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-opt`](/api/graphcanon/graph?tool=future-agi-agent-opt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_