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Model Council

PYPI · MODEL-COUNCIL-MCP · SCANNED AUG 20

Consult other LLMs as tools — ask them, compare their answers, synthesize a conclusion.

Available components

63 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 2 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability56
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2725 tokens (~454/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management20
  • Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · model-council-mcp

# add to Claude Code
claude mcp add totti0135-model-council -- uvx model-council-mcp
# add to Codex CLI
codex mcp add totti0135-model-council -- uvx model-council-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "totti0135-model-council": {
      "type": "local",
      "command": [
        "uvx",
        "model-council-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add totti0135-model-council --command uvx --arg model-council-mcp
# ~/.hermes/config.yaml
mcp_servers:
  totti0135-model-council:
    command: "uvx"
    args: ["model-council-mcp"]
// mcp.json
{
  "mcpServers": {
    "totti0135-model-council": {
      "command": "uvx",
      "args": [
        "model-council-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Aug 26 +15
    • Stability: 0.17 → unverified security
    • Malware scan: unverified → pass security
    • Schema quality: 372 → 454 functional
    • Schema quality: 372 → 432 functional
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
    • First check of Schema quality: unverified functional
    • Package version: 0.11.0 → 0.13.0 functional
    • Package version: 0.11.0 → 0.12.0 functional
  • 19 Aug 26 +1
    • Schema quality: 231 → 372 functional
    • Schema quality: good → excellent functional
    • Package version: 0.9.0 → 0.11.0 functional
  • 18 Aug 26 −1
    • Schema quality: 162 → 231 functional
    • Package version: 0.5.0 → 0.9.0 functional
    • Package version: 0.5.0 → 0.8.0 functional
  • 17 Aug 26 −15
    • Malware scan: pass → unverified security
    • Schema quality: pass → fail functional
    • Stability: unverified → 0.10 functional
    • Package version: 0.3.0 → 0.5.0 functional
    • Package version: 0.3.0 → 0.4.1 functional
  • 14 Aug 26 63

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Aug 2026 · Analysed pypi/model-council-mcp@0.13.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Dependencies 33 packages
Packages resolved 33
Stale 1
No linked repository 1
Tree resolution Complete
MCP tools · 6 exposed · ~2,725 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
ask ~286

Ask ONE member of the council a question and return its answer. `model` is the member's short id; the schema lists the ones this council has, and `list_council` describes them. The member is stateless and cannot see this conversation, so `prompt` must carry everything it needs — including any other model's answer you want it to critique. Optionally set `system` to steer its role or output format. `materials` hands the council the thing the question is about — a spec, a log, a diff, a screenshot — instead of you pasting it into `prompt`. Give `{path, label}` for a file, or `{text, label}` for something with no file behind it. Prefer a path: the members are then handed the file's exact bytes rather than your reproduction of them, you do not spend a copy of the whole document writing this call, and every member and every round get an identical copy, which is both what makes their answers comparable and what an endpoint's cache can match. Images go this way too, and are the case that matters most: describe a screenshot in prose and every member inherits the same description, so anything you misread is misread by the whole council at once.

NameTypeReqDescription
materials
modelstringyes
promptstringyes
system
NameTypeReqDescription
resultstringyes

No examples provided.

ask_all ~1,161

Ask several members the SAME prompt in parallel, returning their answers side by side and labeled by model. By default every configured member answers. Pass `models` to ask only some of them; the schema lists the valid ids. `rounds` (1-3, default 1) runs a real discussion. With `rounds=2` the members first answer independently, then each is asked again — this time carrying the question plus every answer from round 1, its own and the others', verbatim — and asked to revise. Members are stateless, so carrying the previous round back to them is the whole mechanism: without it a second round is just the same question asked twice. The transcript returns round by round, so you can see who moved and who held their ground. One round is a survey of opinion. Two is worth the extra latency and tokens when the answers are likely to disagree and the disagreement is the interesting part. `rounds` is chosen before anything has been asked, which is the one thing wrong with it: you commit to a second round without having read the first, and a council that turns out to agree costs exactly what one still arguing would. When you would rather look first, ask with `rounds=1` and then call `revise` with the answers — it runs one more round on demand, as many times as you judge it worth, and it has no ceiling. Reading before you buy is usually the cheaper of the two: one more round is another full call per member, while `revise` costs you only the answers written back into it. `guests` seats answers you already have. If you spawned a subagent on this same question, or formed your own view first, pass it here as {label, text} and it joins the table: it appears in round 1 beside the members, and from round 2 the members are shown it verbatim and argue with it. This is the difference between an answer that is in the discussion and one that is merely next to it — without it, the models never learn your subagent had an opinion. Pass the text verbatim, not a summary; a summary is not what…

NameTypeReqDescription
guests
materials
models
promptstringyes
roundsinteger
steelman
system
NameTypeReqDescription
resultstringyes

No examples provided.

list_council ~393

List the council's members: their ids, labels, target models, weights, wire format, endpoint, call budget, and whether each one is ready to answer. `weight` is how much this council trusts each member, relative to the others; everyone is 1 unless the roster says otherwise, and `ask_all` reports it alongside the answers whenever they differ. `tries` is how many attempts a call gets and how long each may take, so a member that is slow or that keeps being retried is visible here. `sees` is whether this member may be shown an image in `materials`. The line above the table says whether this server will read `materials` paths at all, which depends on how its operator runs it. `route` is how this member reaches its endpoint — `env` follows the proxy in the server's environment, `direct` ignores it, and a URL is a proxy set for that member alone. It appears only when the members can differ; passwords in a proxy URL are masked. A member may have `backups`: further endpoints for the same seat, indented under it as `↳ backup 1`, `↳ backup 2` and tried in that order when the one above does not answer. They are the same member — same id, same label, one vote — so you never address a backup directly; the seat's id reaches whichever of them is up. Read their `model` column: a backup is often the same model under a different id, and sometimes not the same model at all, and `ask_all` names the one that actually answered above each answer. Cheap and local — makes no network calls. Use this to find out which ids you may pass to `ask` and `ask_all`, or to explain a configuration problem.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes

No examples provided.

probe_models ~77

Ask a member's endpoint which model ids it actually exposes, by calling its /models route. Pass `model` to probe one member, or omit it to probe every configured member. Use this when a call fails with an unknown-model error, or to discover what else a provider offers — model ids move fast.

NameTypeReqDescription
model
NameTypeReqDescription
resultstringyes

No examples provided.

revise ~503

Run ONE more round of an existing discussion: show every member what was said last round and ask it to revise. This is `ask_all`'s rounds turned inside out, so that you can drive them. Two reasons to want that. **You would rather decide after reading.** `ask_all(rounds=2)` commits to the second round before the first one exists. Ask with `rounds=1`, read what comes back, and call this only if the disagreement is worth another call per member — or call it three more times if they are still moving. There is no round ceiling here, unlike `ask_all`, because every round is one you chose to pay for. **A voice in the discussion is one only you can produce** — a subagent you spawned, or your own answer — and you want it to be a full member rather than a one-off: something that answers, reads the others, and revises alongside them. The loop, in the second case: 1. `ask_all(prompt)` — the members answer round 1 ...and you produce your subagent's round-1 answer yourself 2. `revise(prompt, answers=[...])` — pass EVERY round-1 answer, the members' and your subagent's; the members come back revised ...and you re-run your subagent on the same material 3. repeat as long as it is still moving Each entry in `answers` is `{text, model}` for a member's own answer, or `{text, label}` for an outside one. Naming the member matters: that is what lets it see its previous answer as its own and revise, instead of answering fresh. `round` is which round the answers you are passing came from, so the members are told where they are. Pass answers verbatim, never summarised. Pass the same `materials` you passed to `ask_all`, every round. The members are stateless: a document they were shown last round does not exist for them in this one, and a council revising from memory it does not have will revise from the other answers alone.

NameTypeReqDescription
answersarrayyes
materials
models
promptstringyes
roundinteger
system
NameTypeReqDescription
resultstringyes

No examples provided.

revision_prompt ~305

Build the exact prompt a seat should be given for the next round — for the one seat this server cannot ask itself: yours. `revise` asks the members. Your subagent is yours to re-run, and how you prompt it decides whether it revises at all: handed the original question again, it will reproduce its previous answer, and nothing in the transcript will show that the seat stopped participating. Handed this, it revises on exactly the terms the members did — same framing, same instruction to hold a position it still believes against the majority, which is the sentence that keeps a council from collapsing into agreement. Pass the same `prompt`, `answers`, `round` and `materials` you are passing to `revise`, plus `seat`: the label (or member id) of the seat to write for. Cheap and local — makes no network calls, so run it alongside `revise` rather than after it. Material is named in the prompt rather than pasted into it, at the position the members were given it. Open those files for your seat before you hand it the rest: a seat that revises without the document is arguing about something it has not read, and the transcript will not show it.

NameTypeReqDescription
answersarrayyes
materials
promptstringyes
roundinteger
seatstringyes
NameTypeReqDescription
resultstringyes

No examples provided.