---
title: "mcpc vs claudectl"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-mercurialsolo-claudectl"
tools: ["apify-mcpc", "mercurialsolo-claudectl"]
---

# mcpc vs claudectl

*GraphCanon updated Aug 13, 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 claudectl if claudectl, developed in Rust under the MIT license, enables the local orchestration and knowledge sharing of multiple Claude Code AI coding agents within a peer-to-peer network, via.

[mcpc](https://npmjs.com/package/@apify/mcpc) reports 733 GitHub stars, 66 forks, and 18 open issues, last pushed Jul 27, 2026. [claudectl](https://mercurialsolo.github.io/claudectl/) has 195 stars, 21 forks, and 57 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [mcpc's repository](https://github.com/apify/mcpc) and [claudectl's repository](https://github.com/mercurialsolo/claudectl).

| | [mcpc](/tools/apify-mcpc.md) | [claudectl](/tools/mercurialsolo-claudectl.md) |
| --- | --- | --- |
| Tagline | CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy. | Orchestrate a swarm of Claude Code agents with local learning capabilities. |
| Stars | 733 | 195 |
| Forks | 66 | 21 |
| Open issues | 18 | 57 |
| Language | TypeScript | Rust |
| 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. | claudectl, developed in Rust under the MIT license, enables the local orchestration and knowledge sharing of multiple Claude Code AI coding agents within a peer-to-peer network, via a user-friendly terminal interface. |
| 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._

| | [mcpc](/tools/apify-mcpc.md) | [claudectl](/tools/mercurialsolo-claudectl.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 0d | 34d |
| Open issues (now) | 18 | 57 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/mercurialsolo-claudectl/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: claudectl

- **Adopt for:** claudectl, developed in Rust under the MIT license, enables the local orchestration and knowledge sharing of multiple Claude Code AI coding agents within a peer-to-peer network, via a user-friendly terminal interface.

## Choose when

### Choose mcpc if…

- mcpc is primarily TypeScript; claudectl is Rust.
- License: mcpc is Apache-2.0, claudectl is MIT.
- Requirements: Does not require Docker, can be integrated easily within environments without Docker support..
- Tags unique to mcpc: ai-agents, command-line, mcp-client, oauth.
- 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 claudectl if…

- claudectl is primarily Rust; mcpc is TypeScript.
- License: claudectl is MIT, mcpc is Apache-2.0.
- Tags unique to claudectl: agent-orchestration, claude-code, coding-agent, hive-mind.
- When you need to manage multiple Claude Code AI agents locally for collaborative software development tasks without relying on cloud-based resources.

## 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 claudectl

- When your workflow depends on continuous cloud-based updates for the AI models, as claudectl focuses on local learning capabilities.
- If real-time collaboration across multiple agents in different geographic locations is critical to your project, given its limitation to a peer-to-peer network.
- For scenarios where extensive graphical UI features are necessary, since claudectl offers a terminal user interface which may be less visually detailed.

## Common questions

### What is the difference between mcpc and claudectl?

mcpc: CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy.. claudectl: Orchestrate a swarm of Claude Code agents with local learning capabilities.. See the comparison table for live GitHub stats and shared categories.

### When should I choose mcpc over claudectl?

Choose mcpc over claudectl when mcpc is primarily TypeScript; claudectl is Rust; License: mcpc is Apache-2.0, claudectl is MIT; Requirements: Does not require Docker, can be integrated easily within environments without Docker support.; Tags unique to mcpc: ai-agents, command-line, mcp-client, oauth; 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 claudectl over mcpc?

Choose claudectl over mcpc when claudectl is primarily Rust; mcpc is TypeScript; License: claudectl is MIT, mcpc is Apache-2.0; Tags unique to claudectl: agent-orchestration, claude-code, coding-agent, hive-mind; When you need to manage multiple Claude Code AI agents locally for collaborative software development tasks without relying on cloud-based resources.

### 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 claudectl?

When your workflow depends on continuous cloud-based updates for the AI models, as claudectl focuses on local learning capabilities. If real-time collaboration across multiple agents in different geographic locations is critical to your project, given its limitation to a peer-to-peer network. For scenarios where extensive graphical UI features are necessary, since claudectl offers a terminal user interface which may be less visually detailed.

### Is mcpc or claudectl more popular on GitHub?

mcpc has more GitHub stars (733 vs 195). Stars measure visibility, not whether either tool fits your constraints.

### Are mcpc and claudectl open source?

Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, claudectl: MIT).

### Where can I find alternatives to mcpc or claudectl?

GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [claudectl alternatives](/tools/mercurialsolo-claudectl/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/alternatives.md), [claudectl markdown twin](/tools/mercurialsolo-claudectl/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-mercurialsolo-claudectl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, mcpc or claudectl?

mcpc: Very active. claudectl: 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 claudectl?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [claudectl trust report](/tools/mercurialsolo-claudectl/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/_
