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MCP server · AI

chat.mumo/mcp

Consult a multi-model panel on contested decisions via MCP: architecture, plan review, strategy.

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Scored 4 months ago · breakdown

About chat.mumo/mcp

chat.mumo/mcp is an MCP server in the AI category: consult a multi-model panel on contested decisions via MCP: architecture, plan review, strategy. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/mumo-chat/mumo-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

mumo — Claude Code + Cowork plugin

Multi-model responses + cross-model reactions. Want more rounds? Context carries automatically. Stop when you have what you need.

Claude, GPT, Gemini, Grok, Qwen, GLM, Kimi in parallel. For contested decisions — architecture, plan review, pricing, strategy — where a single model might be confidently wrong.

Works in both Claude Code (developer audience) and Claude Cowork (knowledge-worker audience). Same plugin, same skill, different distribution marketplaces. For Cursor, see mumo-chat/mumo-cursor. For VS Code (GitHub Copilot), see mumo-chat/mumo-vscode.

When to use

Reach for mumo when:

  • Architecture and design reviews — "Postgres or MongoDB for our event store?" "Is this migration safe under concurrent writes?"
  • Plan and pre-launch pressure tests — "What would we regret 6 months in?" "Where's the biggest risk in this spec?"
  • Contested product or pricing decisions — "Should this feature be paid or free?" "Which of these positionings actually converts?"
  • Strategy with real cost — anywhere a confidently-wrong single model could push a team in the wrong direction for a week.

The bundled skill auto-triggers on this category and stays quiet on factual lookups, routine refactoring, and code generation from a clear spec.

What's in the box

  • MCP serverhttps://mumo.chat/api/mcp, seven tools: create_deliberation, wait_for_round, append_round, get_session, list_sessions, list_models, get_credit
  • Auto-triggering skillskills/mumo/SKILL.md tells the agent when to reach for the panel so you don't have to

Install — Claude Code

Inside Claude Code:

/plugin marketplace add anthropics/claude-plugins-official
/plugin install mumo

Install — Claude Cowork

Open Claude Desktop → Cowork tab → CustomizeBrowse plugins → search for mumoInstall. Or browse the full catalog at claude.com/plugins.

Note: Claude Code and Cowork have separate plugin panels backed by different marketplaces. Installing in one surface does not auto-install in the other — install in each separately.

Install — VS Code (GitHub Copilot)

Install the mumo extension from the Visual Studio Marketplace. It registers the MCP server natively and stores your key in VS Code's SecretStorage — no MUMO_API_KEY env-var required.

For the full story and manual-install alternatives, see mumo-chat/mumo-vscode.

The auto-triggering skill from this repo is not bundled in the VS Code extension — Copilot's agent mode routes to the MCP server organically when you mention mumo or ask for a panel. For the explicit skill experience, use Claude Code or Cowork.

API key setup

The plugin prompts for your mumo API key at install time and stores it securely in your system keychain.

  1. Sign up at https://mumo.chat and create a platform key at Settings → API Keys (keys start with mmo_live_)
  2. Paste it when the plugin prompts you during install/enable

If you need to update the key later, reinstall or reconfigure the plugin. For manual or dev setups, you can also export MUMO_API_KEY as an environment variable.

Using the panel

Invoke the skill explicitly if the agent doesn't reach for it on its own:

  • "Run this by a mumo panel"
  • "Get me a second opinion from mumo on…"
  • "Ask mumo about…"

Try it first

Ask Claude Code or Cowork something the panel will want to engage with:

Postgres or MongoDB for our event store given 50k events/day, a Postgres-experienced team, and a 3-month runway? What would we regret 6 months in?

The first round returns each model's prose plus a cross-model claim map showing where the panel agrees and where it splits. You can stop there, or append_round with typed snippets (KEEP / EXPLORE / CHALLENGE / CORE / SHIFT) — moderator attention on what mattered and why.

See mumo.chat/install for setup and mumo.chat/docs/mcp for the tool reference. The canonical skill lives in skills/mumo/SKILL.md — that's what Claude Code loads.

Links

License

MIT

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About chat.mumo/mcp

How do I install chat.mumo/mcp?

Run git clone https://github.com/mumo-chat/mumo-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is chat.mumo/mcp safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is chat.mumo/mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.