# Mumo MCP server

Source: https://glimind.com/server/mcp-registry%2Fchat.mumo%2Fmcp
Registry id: `mcp-registry/chat.mumo/mcp`
Status: live (checked 2026-10-26T19:03:49.077Z)

## Verdict

Mumo MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 645 ms median handshake and 0 outages in 90 days. Its agent-readiness grade is A (100/100) across 8 tools, costing an agent about 2,944 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 645 ms | 40% of MCP servers |
| p95 handshake latency | 2946 ms | — |
| Checks in 30 days | 4,860 | — |
| Outages, 90 days | 0 | — |
| Median recovery | — | — |
| Agent-readiness score | 100/100 (A) | 94% of MCP servers |
| Tools | 8 | — |
| Tool-list size for an agent | ~2,944 tokens | 46% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "mumo-mcp-server": {
      "type": "http",
      "url": "https://mumo.chat/api/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http mumo-mcp-server https://mumo.chat/api/mcp
```

## Tools (8)

- `append_round`: Add a follow-up round to an existing deliberation session. Use after reading the previous round's claim_map and responses to steer the conversation. The `snippe
- `create_deliberation`: Start a multi-model AI deliberation on a question or decision. Runs the prompt through multiple frontier AI models in parallel and extracts typed reactions (KEE
- `get_credit`: Fetch the caller's current credit wallet balance. Returns `effective_balance_usd` (markup-included, what's left to spend). At or below zero, every new round is 
- `get_session`: Fetch the full state of a deliberation session including all rounds, responses, snippets, and claim maps. Use to re-read completed session state. While a round 
- `list_models`: List the full model catalog. Returns id, provider, display name, context window, max output tokens, pricing, and a per-model `available` verdict for your accoun
- `list_sessions`: List the caller's deliberation sessions, optionally filtered by status. Most useful for agents managing multiple concurrent sessions — use `status: 'ready'` to 
- `share_session`: Share a deliberation session at a public URL — anyone with the link can view it in the read-only reader deck. Returns the public `share_url` plus two machine-re
- `wait_for_round`: Wait for a deliberation round to finish, then return the full session. This is the agent-friendly follow-up to `create_deliberation` and `append_round`: those t

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.