--- title: "mcpc vs learn-claude-code" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-shareai-lab-learn-claude-code" tools: ["apify-mcpc", "shareai-lab-learn-claude-code"] --- # mcpc vs learn-claude-code *GraphCanon updated Jul 11, 2026* ## Verdict Pick mcpc when mcpc is primarily TypeScript; learn-claude-code is Python; pick learn-claude-code when learn-claude-code is primarily Python; mcpc is TypeScript. [mcpc](https://npmjs.com/package/@apify/mcpc) reports 719 GitHub stars, 66 forks, and 11 open issues, last pushed Jul 10, 2026. [learn-claude-code](https://learn.shareai.run) has 71k stars, 12k forks, and 62 open issues, last pushed Jun 26, 2026. Figures are from public GitHub metadata via [mcpc's repository](https://github.com/apify/mcpc) and [learn-claude-code's repository](https://github.com/shareAI-lab/learn-claude-code). | | [mcpc](/tools/apify-mcpc.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Tagline | A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more. | Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 | | Stars | 719 | 70,653 | | Forks | 66 | 11,506 | | Open issues | 11 | 62 | | Language | TypeScript | Python | | Adopt for | - | Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | 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) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 11 | 62 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/shareai-lab-learn-claude-code/trust.md) | ## Decision facts: learn-claude-code - **Requirements:** Min 1 GB RAM - **Adopt for:** Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. - **License detail:** MIT License ## Choose when ### Choose mcpc if… - mcpc is primarily TypeScript; learn-claude-code is Python. - License: mcpc is Apache-2.0, learn-claude-code is MIT. - Tags unique to mcpc: mcp-client, bash, command-line, claude. ### Choose learn-claude-code if… - learn-claude-code is primarily Python; mcpc is TypeScript. - License: learn-claude-code is MIT, mcpc is Apache-2.0. - Requirements: Min 1 GB RAM. - Tags unique to learn-claude-code: agent-development, llm, python, educational. - When you prefer leveraging both Bash scripting and Python for developing AI agents. ## When NOT to use mcpc - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use learn-claude-code - For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. - If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ## Common questions ### What is the difference between mcpc and learn-claude-code? mcpc: A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more.. learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcpc over learn-claude-code? Choose mcpc over learn-claude-code when mcpc is primarily TypeScript; learn-claude-code is Python; License: mcpc is Apache-2.0, learn-claude-code is MIT; Tags unique to mcpc: mcp-client, bash, command-line, claude. ### When should I choose learn-claude-code over mcpc? Choose learn-claude-code over mcpc when learn-claude-code is primarily Python; mcpc is TypeScript; License: learn-claude-code is MIT, mcpc is Apache-2.0; Requirements: Min 1 GB RAM; Tags unique to learn-claude-code: agent-development, llm, python, educational; When you prefer leveraging both Bash scripting and Python for developing AI agents. ### When should I avoid mcpc? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid learn-claude-code? For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ### Is mcpc or learn-claude-code more popular on GitHub? learn-claude-code has more GitHub stars (70,653 vs 719). Stars measure visibility, not whether either tool fits your constraints. ### Are mcpc and learn-claude-code open source? Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, learn-claude-code: MIT). ### Where can I find alternatives to mcpc or learn-claude-code? GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [learn-claude-code alternatives](/tools/shareai-lab-learn-claude-code/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/alternatives.md), [learn-claude-code markdown twin](/tools/shareai-lab-learn-claude-code/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-shareai-lab-learn-claude-code.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcpc or learn-claude-code? mcpc: Very active. learn-claude-code: 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 mcpc and learn-claude-code? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [learn-claude-code trust report](/tools/shareai-lab-learn-claude-code/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/_