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ask-fable MCP server

by baggybin·io.github.baggybin/ask-fable·v0.13.0
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MCP server for Anthropic's Claude Fable, Opus 5, and multi-model reasoning councils.

C65/100grade C
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Safety scan
C65/100

full report

Adoption
New

0 stars19 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

ask-fable tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • reset_session

    Dump (optionally to a file) and clear a Fable conversation session,

  • trace_get

    Read the ordered events and artifact references for one trace.

  • trace_list

    List recent correlated tool traces without raw content.

Public scan report

scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it

no findings
  • Code scan47 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancerepository not readable: repo not found3/15
  • Maintainer identityno repository or website to verify2/10
Overall 65/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How ask-fable compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
65/100
higher than 25% of 4,461 AI and agents servers
Tools
3
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
19
more than 5% of 1,554 AI and agents servers with a package

What its tools let an agent do: 3 read

Install ask-fable in Claude Code, Cursor or VS Code

claude mcp add ask-fable -- uvx ask-fable
Add to Cursor

What the publisher says

From the ask-fable repository's README, as published. We do not edit it. Read it on GitHub

ask-fable: Multi-Model Reasoning MCP Server

<!-- mcp-name: io.github.baggybin/ask-fable -->

ask-fable is a portable, installable MCP (Model Context Protocol) server for AI coding agents. It works in Claude Code, OpenCode, Kimi Code, Grok, Cursor, Codex, and any other harness that can spawn a local MCP server.

It gives those agents guarded code and architecture reasoning from Anthropic's Claude Fable (the newest claude-fable-*), Claude Opus 5 (claude-opus-5), MiniMax (MiniMax-M3), Gemini, Codex, GLM, DeepSeek, Grok, Kimi, Ollama Cloud models, and any model on your own LM Studio server. It can query one backend, synthesize a parallel council, run an ordered refinement chain, or stage a structured adversarial debate.

Fable and Opus 5 use Claude Code's existing OAuth session (through the Agent SDK, with the claude CLI as a fallback). MiniMax, Gemini, Codex, Grok, and local Ollama similarly reuse authenticated local CLIs. LM Studio is a LAN backend that needs no key: ask_lms loads a model on demand with a real context window and does not evict a resident model. GLM, DeepSeek, and Atlas Cloud are optional HTTP backends that need server-side API keys.

Start here

Start with ask for one hard question. Escalate to a council, chain, or debate only when the decision warrants the extra latency and cost.

What it gives you

ask-fable gives an MCP client six ways to reason:

The same guard, context bus, cache, audit trail, and tracing layer wrap every mode. Backends are optional: use Fable alone, call a specific provider, or mix Fable, Opus 5, MiniMax, Gemini, Codex, Grok, GLM, DeepSeek, Kimi, Ollama, LM Studio, Atlas Cloud, and OpenRouter. Unavailable council members are reported and skipped instead of failing the whole request.

A real example — ask_debate, lazy token bucket vs. background refill task for a per-user rate limiter (resolution: adjudicated):

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-10-15downgradeA → Cscore 65

ask-fable: common questions

Is ask-fable MCP server safe?
With care: it is graded C, so read the findings first (65/100). Read the ask-fable safety report
How do I install ask-fable?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does ask-fable need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is ask-fable maintained?
The last commit was 53 days ago (2026-09-13). The latest release is v0.13.0.
What can I use instead of ask-fable?
Servers from other publishers that do the same job: PaperBanana MCP server, three.ws Brain MCP server and Strategic Agent Reasoning MCP server.
How does ask-fable compare with other AI and agents MCP servers?
safety score 65/100 (higher than 25% of 4,461 AI and agents servers); tools 3 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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