--- title: "mcpc vs concierge" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-concierge-hq-concierge" tools: ["apify-mcpc", "concierge-hq-concierge"] --- # mcpc vs concierge *GraphCanon updated Sep 20, 2026* ## Verdict Pick mcpc if mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities; 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. [mcpc](https://npmjs.com/package/@apify/mcpc) reports 890 GitHub stars, 88 forks, and 24 open issues, last pushed Sep 19, 2026. [concierge](https://platform.getconcierge.app) has 531 stars, 99 forks, and 55 open issues, last pushed Jun 9, 2026. Figures are from public GitHub metadata via [mcpc's repository](https://github.com/apify/mcpc) and [concierge's repository](https://github.com/concierge-hq/concierge). | | [mcpc](/tools/apify-mcpc.md) | [concierge](/tools/concierge-hq-concierge.md) | | --- | --- | --- | | Tagline | CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy. | Universal SDK for building next-gen MCP servers | | Stars | 890 | 531 | | Forks | 88 | 99 | | Open issues | 24 | 55 | | Language | TypeScript | Python | | Adopt for | mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcpc](/tools/apify-mcpc.md) | [concierge](/tools/concierge-hq-concierge.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 103d | | Open issues (now) | 24 | 55 | | Stars delta | +157 (30d) | -1 (30d) | | Open issues delta | +6 (30d) | 0 (30d) | | Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/concierge-hq-concierge/trust.md) | ## Decision facts: mcpc - **Requirements:** Does not require Docker, can be integrated easily within environments without Docker support. - **Adopt for:** mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities. - **License detail:** Apache-2.0 ## 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. ## Choose when ### Choose mcpc if… - mcpc is primarily TypeScript; concierge is Python. - License: mcpc is Apache-2.0, concierge is Other. - Requirements: Does not require Docker, can be integrated easily within environments without Docker support.. - Tags unique to mcpc: ai-agents, cli, command-line, mcp-client. - mcpc ships an MCP server manifest. - If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling. ### Choose concierge if… - concierge is primarily Python; mcpc is TypeScript. - License: concierge is Other, mcpc is Apache-2.0. - Tags unique to concierge: agentic-ai, agents, automation, llm. - concierge ships Docker support for self-hosted deployment. - When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies. ## When NOT to use mcpc - In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative. - If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these. ## 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. ## Common questions ### What is the difference between mcpc and concierge? mcpc: CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy.. concierge: Universal SDK for building next-gen MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcpc over concierge? Choose mcpc over concierge when mcpc is primarily TypeScript; concierge is Python; License: mcpc is Apache-2.0, concierge is Other; Requirements: Does not require Docker, can be integrated easily within environments without Docker support.; Tags unique to mcpc: ai-agents, cli, command-line, mcp-client; mcpc ships an MCP server manifest; If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling. ### When should I choose concierge over mcpc? Choose concierge over mcpc when concierge is primarily Python; mcpc is TypeScript; License: concierge is Other, mcpc is Apache-2.0; Tags unique to concierge: agentic-ai, agents, automation, llm; concierge ships Docker support for self-hosted deployment; When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies. ### When should I avoid mcpc? In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative. If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these. ### 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. ### Is mcpc or concierge more popular on GitHub? mcpc has more GitHub stars (890 vs 531). Stars measure visibility, not whether either tool fits your constraints. ### Are mcpc and concierge open source? Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, concierge: Other). ### Where can I find alternatives to mcpc or concierge? GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [concierge alternatives](/tools/concierge-hq-concierge/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/alternatives.md), [concierge markdown twin](/tools/concierge-hq-concierge/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/apify-mcpc-vs-concierge-hq-concierge.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcpc or concierge? mcpc: Very active. concierge: 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 mcpc and concierge? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [concierge trust report](/tools/concierge-hq-concierge/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apify-mcpc`](/api/graphcanon/graph?tool=apify-mcpc) - 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/_