Comparison
mcp-agent vs agent-framework
Verdict
Pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Markdown twin · mcp-agent alternatives · agent-framework alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | mcp-agent | agent-framework |
|---|---|---|
| Maintenance | Slowing (181d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- mcp-agent
- Build effective AI agents with Model Context Protocol.
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- mcp-agent
- 8.5k
- agent-framework
- 13k
Forks
- mcp-agent
- 866
- agent-framework
- 2.1k
Open issues
- mcp-agent
- 140
- agent-framework
- 685
Language
- mcp-agent
- Python
- agent-framework
- Python
Adopt for
- mcp-agent
- Allows creation of efficient AI agents via Model Context Protocol with workflow patterns
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Persona
- mcp-agent
- -
- agent-framework
- -
Runtime
- mcp-agent
- -
- agent-framework
- -
License
- mcp-agent
- Apache-2.0
- agent-framework
- MIT
Last pushed
- mcp-agent
- Jan 25, 2026
- agent-framework
- Aug 10, 2026
Categories
- mcp-agent
- AI Agents
- agent-framework
- AI Agents, Developer Tools
Trust and health
Maintenance
- mcp-agent
- Slowing (36%)
- agent-framework
- Very active (96%)
Days since push
- mcp-agent
- 181d
- agent-framework
- 0d
Open issues (now)
- mcp-agent
- 140
- agent-framework
- 685
Full report
- mcp-agent
- Trust report
- agent-framework
- Trust report
Shared compatibility
- Python · mcp-agent: Python runtime · agent-framework: Python runtime
Choose mcp-agent if…
- License: mcp-agent is Apache-2.0, agent-framework is MIT.
- Tags unique to mcp-agent: ai-agents, llm, mcp, model-context-protocol.
- Need to implement the Model Context Protocol specifically in your agent development
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
Choose agent-framework if…
- License: agent-framework is MIT, mcp-agent is Apache-2.0.
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration.
- Also covers Developer Tools.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (microsoft/agent-framework) · observed Aug 11, 2026
- GitHub forks (microsoft/agent-framework) · observed Aug 11, 2026
- Last push (microsoft/agent-framework) · observed Aug 10, 2026
- License file (MIT) · observed Aug 11, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: mcp-agent 8.5k · agent-framework 13k (synced Jul 26, 2026).
Common questions
- What is the difference between mcp-agent and agent-framework?
- mcp-agent: Build effective AI agents with Model Context Protocol.. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose mcp-agent over agent-framework?
- Choose mcp-agent over agent-framework when License: mcp-agent is Apache-2.0, agent-framework is MIT; Tags unique to mcp-agent: ai-agents, llm, mcp, model-context-protocol; Need to implement the Model Context Protocol specifically in your agent development.
- When should I choose agent-framework over mcp-agent?
- Choose agent-framework over mcp-agent when License: agent-framework is MIT, mcp-agent is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- 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
- When should I avoid agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- Is mcp-agent or agent-framework more popular on GitHub?
- agent-framework has more GitHub stars (12,718 vs 8,478). Stars measure visibility, not whether either tool fits your constraints.
- Are mcp-agent and agent-framework open source?
- Yes - both are open-source projects on GitHub (mcp-agent: Apache-2.0, agent-framework: MIT).
- Where can I find alternatives to mcp-agent or agent-framework?
- GraphCanon lists graph-backed alternatives at mcp-agent alternatives and agent-framework alternatives (mcp-agent markdown twin, agent-framework 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, mcp-agent or agent-framework?
- mcp-agent: Slowing. agent-framework: Very active. 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 mcp-agent and agent-framework?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mcp-agent trust report; agent-framework trust report.