--- title: "mcpc vs MCPJungle" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-mcpjungle-mcpjungle" tools: ["apify-mcpc", "mcpjungle-mcpjungle"] --- # mcpc vs MCPJungle *GraphCanon updated Jul 27, 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 MCPJungle if mCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. [mcpc](https://npmjs.com/package/@apify/mcpc) reports 733 GitHub stars, 66 forks, and 18 open issues, last pushed Jul 27, 2026. [MCPJungle](https://docs.mcpjungle.com) has 1.2k stars, 148 forks, and 92 open issues, last pushed May 20, 2026. Figures are from public GitHub metadata via [mcpc's repository](https://github.com/apify/mcpc) and [MCPJungle's repository](https://github.com/mcpjungle/MCPJungle). | | [mcpc](/tools/apify-mcpc.md) | [MCPJungle](/tools/mcpjungle-mcpjungle.md) | | --- | --- | --- | | Tagline | CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy. | A platform to manage and connect MCP servers | | Stars | 733 | 1,174 | | Forks | 66 | 148 | | Open issues | 18 | 92 | | Language | TypeScript | Go | | 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. | MCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MCPJungle is available under the MPL-2.0 license, which permits changes and reuse but mandates that derivative software retain its open status. | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcpc](/tools/apify-mcpc.md) | [MCPJungle](/tools/mcpjungle-mcpjungle.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 67d | | Open issues (now) | 18 | 92 | | Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/mcpjungle-mcpjungle/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: MCPJungle - **Pricing:** freemium - The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided. - **Requirements:** Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support. - **Adopt for:** MCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. - **License detail:** MCPJungle is available under the MPL-2.0 license, which permits changes and reuse but mandates that derivative software retain its open status. ## Choose when ### Choose mcpc if… - mcpc is primarily TypeScript; MCPJungle is Go. - License: mcpc is Apache-2.0, MCPJungle is MPL-2.0. - Requirements: Does not require Docker, can be integrated easily within environments without Docker support.. - Tags unique to mcpc: cli, command-line, mcp-client, oauth. - Also covers Developer Tools. - 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 MCPJungle if… - MCPJungle is primarily Go; mcpc is TypeScript. - License: MCPJungle is MPL-2.0, mcpc is Apache-2.0. - Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided.. - Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support.. - Tags unique to MCPJungle: infrastructure, mcp-server, model-context-protocol, self-hosted. - MCPJungle ships Docker support for self-hosted deployment. - When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers. ## 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 MCPJungle - Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity. - Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements. ## Common questions ### What is the difference between mcpc and MCPJungle? mcpc: CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy.. MCPJungle: A platform to manage and connect MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcpc over MCPJungle? Choose mcpc over MCPJungle when mcpc is primarily TypeScript; MCPJungle is Go; License: mcpc is Apache-2.0, MCPJungle is MPL-2.0; Requirements: Does not require Docker, can be integrated easily within environments without Docker support.; Tags unique to mcpc: cli, command-line, mcp-client, oauth; Also covers Developer Tools; 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 MCPJungle over mcpc? Choose MCPJungle over mcpc when MCPJungle is primarily Go; mcpc is TypeScript; License: MCPJungle is MPL-2.0, mcpc is Apache-2.0; Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided.; Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support.; Tags unique to MCPJungle: infrastructure, mcp-server, model-context-protocol, self-hosted; MCPJungle ships Docker support for self-hosted deployment; When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers. ### 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 MCPJungle? Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity. Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements. ### Is mcpc or MCPJungle more popular on GitHub? MCPJungle has more GitHub stars (1,174 vs 733). Stars measure visibility, not whether either tool fits your constraints. ### Are mcpc and MCPJungle open source? Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, MCPJungle: MPL-2.0). ### Where can I find alternatives to mcpc or MCPJungle? GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [MCPJungle alternatives](/tools/mcpjungle-mcpjungle/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/alternatives.md), [MCPJungle markdown twin](/tools/mcpjungle-mcpjungle/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-mcpjungle-mcpjungle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcpc or MCPJungle? mcpc: Very active. MCPJungle: Steady. 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 MCPJungle? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [MCPJungle trust report](/tools/mcpjungle-mcpjungle/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/_