Home/Compare/agent-opt vs mcp-agent

Comparison

agent-opt vs mcp-agent

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.

Markdown twin · agent-opt alternatives · mcp-agent alternatives

GraphCanon updated Oct 3, 2026

13views this month

agent-opt logo

agent-opt

future-agi/agent-opt

★ 75pushed Jun 30, 2026
vs
mcp-agent logo

mcp-agent

lastmile-ai/mcp-agent

★ 8.5kpushed Jan 25, 2026

Trust & integrity

Signalagent-optmcp-agent
Maintenance
Archived (95d since push)
As of Oct 3, 2026 · github_public_v1
Slowing (237d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 3, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

agent-opt
Open Source Library for Automated Optimization of AI Agent Workflows
mcp-agent
Build effective AI agents with Model Context Protocol.

Stars

agent-opt
75
mcp-agent
8.5k

Forks

agent-opt
9
mcp-agent
891

Open issues

agent-opt
0
mcp-agent
138

Language

agent-opt
Python
mcp-agent
Python

Adopt for

agent-opt
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.
mcp-agent
Allows creation of efficient AI agents via Model Context Protocol with workflow patterns

Persona

agent-opt
-
mcp-agent
-

Runtime

agent-opt
-
mcp-agent
-

License

agent-opt
Apache-2.0
mcp-agent
Apache-2.0

Last pushed

agent-opt
Jun 30, 2026
mcp-agent
Jan 25, 2026

Categories

agent-opt
AI Agents, Evaluation & Observability
mcp-agent
AI Agents

Trust and health

Maintenance

agent-opt
Archived (8%)
mcp-agent
Slowing (36%)

Days since push

agent-opt
95d
mcp-agent
237d

Archived on GitHub

agent-opt
Yes
mcp-agent
No

Open issues (now)

agent-opt
0
mcp-agent
138

Stars delta

agent-opt
+4 (30d)
mcp-agent
+71 (30d)

Open issues delta

agent-opt
0 (30d)
mcp-agent
-2 (30d)

Full report

agent-opt
Trust report
mcp-agent
Trust report

Shared compatibility

  • Python · agent-opt: Python runtime · mcp-agent: Python runtime

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

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

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 75) - visibility, not fit.

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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-opt 75 · mcp-agent 8.5k (synced Oct 3, 2026).

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 75) - 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 (8,549 vs 75). 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 and mcp-agent alternatives (agent-opt markdown twin, mcp-agent markdown twin), 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 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: Archived. 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; mcp-agent trust report.

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