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 2w
vs
Trust & integrity
| Signal | agent-opt | mcp-agent |
|---|---|---|
| Maintenance | Steady (35d since push) As of 2w · github_public_v1 | Slowing (181d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 71
- mcp-agent
- 8.5k
Forks
- agent-opt
- 7
- mcp-agent
- 866
Open issues
- agent-opt
- 0
- mcp-agent
- 140
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
- Steady (60%)
- mcp-agent
- Slowing (36%)
Days since push
- agent-opt
- 35d
- mcp-agent
- 181d
Open issues (now)
- agent-opt
- 0
- mcp-agent
- 140
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 71) - 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 (future-agi/agent-opt) · observed Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lastmile-ai/mcp-agent) · observed Jul 26, 2026
- GitHub forks (lastmile-ai/mcp-agent) · observed Jul 26, 2026
- Last push (lastmile-ai/mcp-agent) · observed Jan 25, 2026
- License file (Apache-2.0) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · mcp-agent 8.5k (synced Aug 4, 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 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 (8,478 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 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: 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; mcp-agent trust report.