Home/Compare/agent-framework vs mcpproxy-go

Comparison

agent-framework vs mcpproxy-go

Verdict

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; pick mcpproxy-go if mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI.

Markdown twin · agent-framework alternatives · mcpproxy-go alternatives

GraphCanon updated 2w

agent-framework logo

agent-framework

microsoft/agent-framework

13kpushed Aug 10, 2026
vs
mcpproxy-go logo

mcpproxy-go

smart-mcp-proxy/mcpproxy-go

305pushed Aug 2, 2026

Trust & integrity

Signalagent-frameworkmcpproxy-go
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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-framework
Framework for building and deploying AI agents and multi-agent workflows
mcpproxy-go
Supercharge AI Agents, Safely

Stars

agent-framework
13k
mcpproxy-go
305

Forks

agent-framework
2.1k
mcpproxy-go
43

Open issues

agent-framework
685
mcpproxy-go
15

Language

agent-framework
Python
mcpproxy-go
Go

Adopt for

agent-framework
The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
mcpproxy-go
mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI.

Persona

agent-framework
-
mcpproxy-go
-

Runtime

agent-framework
-
mcpproxy-go
-

License

agent-framework
MIT
mcpproxy-go
MIT

Last pushed

agent-framework
Aug 10, 2026
mcpproxy-go
Aug 2, 2026

Categories

agent-framework
AI Agents, Developer Tools
mcpproxy-go
AI Agents, Developer Tools

Trust and health

Open issues (now)

agent-framework
685
mcpproxy-go
15

OSV dependency advisories

agent-framework
No lockfile (source not queried)
mcpproxy-go
No published findings from this source as of 2026-07-11

Full report

agent-framework
Trust report
mcpproxy-go
Trust report

Choose agent-framework if…

  • agent-framework is primarily Python; mcpproxy-go is Go.
  • 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, agents, multi-agent.
  • 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.

Choose mcpproxy-go if…

  • mcpproxy-go is primarily Go; agent-framework is Python.
  • Pricing: mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs..
  • Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use..
  • Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol.
  • mcpproxy-go ships Docker support for self-hosted deployment.
  • When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP.

When NOT to use mcpproxy-go

  • When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient.
  • If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities.

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-framework 13k · mcpproxy-go 305 (synced Aug 11, 2026).

Common questions

What is the difference between agent-framework and mcpproxy-go?
agent-framework: Framework for building and deploying AI agents and multi-agent workflows. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-framework over mcpproxy-go?
Choose agent-framework over mcpproxy-go when agent-framework is primarily Python; mcpproxy-go is Go; 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, agents, multi-agent; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When should I choose mcpproxy-go over agent-framework?
Choose mcpproxy-go over agent-framework when mcpproxy-go is primarily Go; agent-framework is Python; Pricing: mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs.; Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use.; Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol; mcpproxy-go ships Docker support for self-hosted deployment; When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP.
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.
When should I avoid mcpproxy-go?
When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient. If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities.
Is agent-framework or mcpproxy-go more popular on GitHub?
agent-framework has more GitHub stars (12,718 vs 305). Stars measure visibility, not whether either tool fits your constraints.
Are agent-framework and mcpproxy-go open source?
Yes - both are open-source projects on GitHub (agent-framework: MIT, mcpproxy-go: MIT).
Where can I find alternatives to agent-framework or mcpproxy-go?
GraphCanon lists graph-backed alternatives at agent-framework alternatives and mcpproxy-go alternatives (agent-framework markdown twin, mcpproxy-go 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-framework or mcpproxy-go?
agent-framework: Very active. mcpproxy-go: 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 agent-framework and mcpproxy-go?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-framework trust report; mcpproxy-go trust report.

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