--- title: "concierge vs mcpproxy-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/concierge-hq-concierge-vs-smart-mcp-proxy-mcpproxy-go" tools: ["concierge-hq-concierge", "smart-mcp-proxy-mcpproxy-go"] --- # concierge vs mcpproxy-go *GraphCanon updated Sep 20, 2026* ## Verdict Pick concierge if concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents; pick mcpproxy-go if mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. [concierge](https://platform.getconcierge.app) reports 531 GitHub stars, 99 forks, and 55 open issues, last pushed Jun 9, 2026. [mcpproxy-go](https://mcpproxy.app) has 375 stars, 50 forks, and 25 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [concierge's repository](https://github.com/concierge-hq/concierge) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go). | | [concierge](/tools/concierge-hq-concierge.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Tagline | Universal SDK for building next-gen MCP servers | Supercharge AI Agents, Safely | | Stars | 531 | 375 | | Forks | 99 | 50 | | Open issues | 55 | 25 | | Language | Python | Go | | Adopt for | Concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents. | mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. | | Persona | - | - | | Runtime | - | - | | License | Other | mcpproxy-go is distributed under the MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [concierge](/tools/concierge-hq-concierge.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 103d | 0d | | Open issues (now) | 55 | 25 | | Stars delta | -1 (30d) | +70 (30d) | | Open issues delta | 0 (30d) | +10 (30d) | | Full report | [trust report](/tools/concierge-hq-concierge/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | ## Decision facts: concierge - **Adopt for:** Concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents. ## Decision facts: mcpproxy-go - **Pricing:** freemium - mcpproxy-go is free and open-source, but additional services or support might be available for a fee. - **Requirements:** Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS. - **Adopt for:** mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. - **License detail:** mcpproxy-go is distributed under the MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose concierge if… - concierge is primarily Python; mcpproxy-go is Go. - License: concierge is Other, mcpproxy-go is MIT. - Tags unique to concierge: agentic-ai, agents, automation, llm. - When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies. ### Choose mcpproxy-go if… - mcpproxy-go is primarily Go; concierge is Python. - License: mcpproxy-go is MIT, concierge is Other. - Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee.. - Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS.. - Tags unique to mcpproxy-go: ai-agents, audit-logging, llm-tools, local-first. - Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind. ## When NOT to use concierge - Avoid if you are working in environments that do not support Python or require SDK functionalities for languages other than Python. - Not suitable for projects that are constrained by licenses outside the provided 'Other' license category, which may limit interoperability and contribution freedoms. ## When NOT to use mcpproxy-go - Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments. - Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions. ## Common questions ### What is the difference between concierge and mcpproxy-go? concierge: Universal SDK for building next-gen MCP servers. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories. ### When should I choose concierge over mcpproxy-go? Choose concierge over mcpproxy-go when concierge is primarily Python; mcpproxy-go is Go; License: concierge is Other, mcpproxy-go is MIT; Tags unique to concierge: agentic-ai, agents, automation, llm; When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies. ### When should I choose mcpproxy-go over concierge? Choose mcpproxy-go over concierge when mcpproxy-go is primarily Go; concierge is Python; License: mcpproxy-go is MIT, concierge is Other; Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee.; Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS.; Tags unique to mcpproxy-go: ai-agents, audit-logging, llm-tools, local-first; Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind. ### When should I avoid concierge? Avoid if you are working in environments that do not support Python or require SDK functionalities for languages other than Python. Not suitable for projects that are constrained by licenses outside the provided 'Other' license category, which may limit interoperability and contribution freedoms. ### When should I avoid mcpproxy-go? Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments. Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions. ### Is concierge or mcpproxy-go more popular on GitHub? concierge has more GitHub stars (531 vs 375). Stars measure visibility, not whether either tool fits your constraints. ### Are concierge and mcpproxy-go open source? Yes - both are open-source projects on GitHub (concierge: Other, mcpproxy-go: MIT). ### Where can I find alternatives to concierge or mcpproxy-go? GraphCanon lists graph-backed alternatives at [concierge alternatives](/tools/concierge-hq-concierge/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([concierge markdown twin](/tools/concierge-hq-concierge/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/concierge-hq-concierge-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, concierge or mcpproxy-go? concierge: Slowing. 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 concierge and mcpproxy-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [concierge trust report](/tools/concierge-hq-concierge/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=concierge-hq-concierge`](/api/graphcanon/graph?tool=concierge-hq-concierge) - 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/_