---
title: "go-micro vs mcpproxy-go"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/micro-go-micro-vs-smart-mcp-proxy-mcpproxy-go"
tools: ["micro-go-micro", "smart-mcp-proxy-mcpproxy-go"]
---

# go-micro vs mcpproxy-go

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick go-micro if go-micro is a Go-based agent harness and service framework focused on microservices architecture with integrated AI-agent capabilities; 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.

[go-micro](https://go-micro.dev) reports 23k GitHub stars, 2.4k forks, and 8 open issues, last pushed Aug 19, 2026. [mcpproxy-go](https://mcpproxy.app) has 305 stars, 43 forks, and 15 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [go-micro's repository](https://github.com/micro/go-micro) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go).

| | [go-micro](/tools/micro-go-micro.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) |
| --- | --- | --- |
| Tagline | A Go agent harness and service framework | Supercharge AI Agents, Safely |
| Stars | 23,024 | 305 |
| Forks | 2,416 | 43 |
| Open issues | 8 | 15 |
| Language | Go | Go |
| Adopt for | go-micro is a Go-based agent harness and service framework focused on microservices architecture with integrated AI-agent capabilities. | 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 | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [go-micro](/tools/micro-go-micro.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) |
| --- | --- | --- |
| Open issues (now) | 8 | 15 |
| Stars delta | +55 (30d) | Unknown |
| Open issues delta | 0 (30d) | Unknown |
| Full report | [trust report](/tools/micro-go-micro/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) |

## Decision facts: go-micro

- **Adopt for:** go-micro is a Go-based agent harness and service framework focused on microservices architecture with integrated AI-agent capabilities.

## Decision facts: mcpproxy-go

- **Pricing:** freemium - 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.
- **Adopt for:** 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.

## Choose when

### Choose go-micro if…

- License: go-micro is Apache-2.0, mcpproxy-go is MIT.
- Tags unique to go-micro: ai, ai-agents, distributed-systems, go.
- Use go-micro if you seek to leverage its built-in `plan` and `delegate` capabilities for orchestrating multi-step workflows across microservices.

### Choose mcpproxy-go if…

- License: mcpproxy-go is MIT, go-micro is Apache-2.0.
- 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.
- When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP.

## When NOT to use go-micro

- Avoid go-micro if you are looking for a tool that supports extensive documentation or examples outside of its inherent capabilities with `plan` and `delegate`; focus is more on agent harness and less.
- Steer clear of this framework if your project architecture must be Docker-based, as the deployment methods provided by go-micro rely primarily on SSH and systemd rather than containerization.

## 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.

## Common questions

### What is the difference between go-micro and mcpproxy-go?

go-micro: A Go agent harness and service framework. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.

### When should I choose go-micro over mcpproxy-go?

Choose go-micro over mcpproxy-go when License: go-micro is Apache-2.0, mcpproxy-go is MIT; Tags unique to go-micro: ai, ai-agents, distributed-systems, go; Use go-micro if you seek to leverage its built-in `plan` and `delegate` capabilities for orchestrating multi-step workflows across microservices.

### When should I choose mcpproxy-go over go-micro?

Choose mcpproxy-go over go-micro when License: mcpproxy-go is MIT, go-micro is Apache-2.0; 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; When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP.

### When should I avoid go-micro?

Avoid go-micro if you are looking for a tool that supports extensive documentation or examples outside of its inherent capabilities with `plan` and `delegate`; focus is more on agent harness and less. Steer clear of this framework if your project architecture must be Docker-based, as the deployment methods provided by go-micro rely primarily on SSH and systemd rather than containerization.

### 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 go-micro or mcpproxy-go more popular on GitHub?

go-micro has more GitHub stars (23,024 vs 305). Stars measure visibility, not whether either tool fits your constraints.

### Are go-micro and mcpproxy-go open source?

Yes - both are open-source projects on GitHub (go-micro: Apache-2.0, mcpproxy-go: MIT).

### Where can I find alternatives to go-micro or mcpproxy-go?

GraphCanon lists graph-backed alternatives at [go-micro alternatives](/tools/micro-go-micro/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([go-micro markdown twin](/tools/micro-go-micro/alternatives.md), [mcpproxy-go markdown twin](/tools/smart-mcp-proxy-mcpproxy-go/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/micro-go-micro-vs-smart-mcp-proxy-mcpproxy-go.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, go-micro or mcpproxy-go?

go-micro: 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 go-micro and mcpproxy-go?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [go-micro trust report](/tools/micro-go-micro/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=micro-go-micro`](/api/graphcanon/graph?tool=micro-go-micro)
- 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/_
