llm-council
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@llm-councilRun a council on migrating to microservices"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
blessthis-llm-council
Blind multi-model councils, and direct seat chat, as a local MCP server.
Ask one question — get N independent answers from N different LLMs, each running as a real agent CLI on your machine, each answering anonymously so no model can bandwagon another's take. A synthesizer merges the answers, the council scores them blind, and only then are the hats lifted. When you don't need a whole council, open a direct 1:1 chat with any seat over the same MCP connection. You bring your own models, gateways, and credentials — the package is pure orchestration.
How it works
you (via your agent host)
│ brief
▼
council_start ──► N anonymous seats (hat_1 … hat_N)
│ each seat = one LLM family, spawned as a
│ headless CLI subprocess (claude / pi / codex)
▼
council_poll ◄── watch seats work (live progress)
│
▼
council_answer / council_ask ──► collect answers, cross-examine
│
▼
synthesis ──► council_score (blind: hats still on)
│
▼
council_reveal ──► hats off: which model wrote what
│
▼
council_closeThe conductor (your agent host: Claude Code, pi, Cursor, …) talks to the MCP server. The server spawns the seat CLIs, tracks per-(seat, model) health and cooldowns, and persists councils, scores, and chat sessions in a local SQLite database. No seat ever sees another seat's answer before scoring.
Related MCP server: conclave
Quick start
Requirements: uv, and at least one seat CLI installed (claude, pi, or codex) with credentials. Linux/macOS first-class; Windows untested (best-effort).
uvx blessthis-llm-councilThat's it. The interactive wizard will:
Build your
seats.yaml(seat templates for common setups, per-seat env prompts, optional 1-token probe per seat).Ask about telemetry (opt-in, default off).
Wire up one host of your choice (MCP registration + council agent files). Re-run
blessthis-llm-council installto add more hosts.
Then restart/reload your host and either ask the installed council agent ("run a council on …") or call the tools directly (e.g. mcp__llm-council__council_start).
Useful CLI commands (same binary):
blessthis-llm-council seats list|add|edit|remove|probe # manage seats.yaml
blessthis-llm-council doctor # full diagnostics
blessthis-llm-council status # fast wiring overview
blessthis-llm-council uninstall # clean removalTwo console scripts ship in the package:
blessthis-llm-councilis the installer/management CLI;blessthis-llm-council-serveris the MCP server your host launches (you never run it by hand — the wizard registers it).
seats.yaml
All seat topology and secrets live in one file: ~/.blessthis-llm-council/seats.yaml, mode 0600, never committed anywhere.
telemetry:
enabled: false # explicit, opt-in
seats:
fable:
models: [claude-fable-5, claude-opus-4-8] # preferred first
agent:
bin: claude
args: ["-p", "{prompt}", "--output-format", "json",
"--dangerously-skip-permissions",
"--model", "{model}", "--add-dir", "{workdir}"]
env:
ANTHROPIC_API_KEY: __REPLACE_ME__
glm: # pi reads its own models.json — no env needed
models: [glm-5.2]
agent:
bin: pi
args: ["--mode", "json", "-p", "{prompt}", "--model", "{model}",
"--tools", "read,write,edit,grep,find,ls,bash",
"--add-dir", "{workdir}"]
env: {}
gpt: # codex runner via an OpenAI-wire gateway
models: [gpt-5]
agent:
bin: codex
args: ["exec", "--json", "--skip-git-repo-check", "-s", "read-only",
"--color", "never", "-m", "{model}", "-C", "{workdir}", "{prompt}"]
env:
OPENAI_BASE_URL: https://your-gateway.example/v1
OPENAI_API_KEY: __REPLACE_ME__A seat is an LLM family, not a runner — the same binary can back several seats with different credentials (e.g. native API + gateway fallback as two seats, preferred-first). args is a pure exec-array (one argv token per element, {prompt} / {model} placeholders required). The wizard writes this file for you; edit later with blessthis-llm-council seats edit <name>.
Tools reference (17)
Council (10)
Tool | What it does |
| Start a blind council: brief + seat roster → hat assignments, spawns seats. |
| Check progress of running seats (turns, tokens, done/error). |
| Fetch a finished seat's answer (still anonymized by hat). |
| Cross-examine a hat (resumes that seat's CLI session with a follow-up). |
| Blind boolean: has a given model answered yet? |
| Lift the hats: map each hat → seat/model. Use after scoring. |
| Record blind scores (1-10 per hat) + notes — the mandatory end step. |
| Close the council; records are kept for history. |
| Leaderboard: aggregated historical scores per model. |
| Per-(seat, model) health/cooldown status. |
Direct seat chat (6)
Tool | What it does |
| Open a 1:1 chat session with a named seat. |
| Send a message (async; returns a task_id immediately). |
| Long-poll for the turn's reply (+ usage; first turn yields the resume id). |
| Read back a chat session's messages. |
| List chat sessions (optional working_dir filter). |
| Close a chat session (history preserved). |
Discovery (1)
Tool | What it does |
| List configured seats (name, models, runner kind) from seats.yaml. |
Host support
Host | Agent files | MCP registration |
Claude Code |
|
|
Gemini CLI |
|
|
pi |
| file-merge into |
Codex |
| file-merge into |
Cursor |
| file-merge into |
GitHub Copilot / VS Code |
| file-merge into |
Everywhere the server is registered under the canonical name llm-council as { "command": "uvx", "args": ["blessthis-llm-council-server"] } — a non-destructive merge that never touches your other servers or agents (we only ever write/remove entries matching our fingerprint and blessthis-council-* files).
Philosophy
Why blind? Models bandwagon. Show an LLM another model's answer and you get agreement theater, not independent judgment. Hats stay on until scoring is done, so scores reflect the answer, not the author.
Why real CLIs instead of API calls? Your seat CLIs already have working auth, tooling, session resume, and model routing. The council spawns the same
claude/pi/codexbinaries you use interactively — headless, with your config — so there's no second credential store to break and no reimplemented client to drift. This package never makes a direct LLM HTTP call.BYO everything. Models, gateways, API keys, base URLs — all yours, all in
seats.yaml. No hosted component, no account, no lock-in.
Telemetry
Opt-in (telemetry.enabled: true, asked during install, default off).
When enabled, we send only anonymized scoring events: {model, kind, score, usage, host, tool_version, ts, council_uuid}.
We never send: your code, file paths, briefs, answer content, notes, seat names, credentials, or seat-health data.
Uninstall & privacy
blessthis-llm-council uninstall # removes MCP entries + agent files
blessthis-llm-council uninstall --purge # also deletes seats.yaml + state.dbEverything lives under ~/.blessthis-llm-council/ (seats, SQLite state) plus the llm-council entry and blessthis-council-* files in your host configs. Nothing else on your system is touched. seats.yaml contains your API keys — keep it 0600 and never commit it.
License
AGPL-3.0-or-later. Fork it, improve it — but improvements to this package must be shared back under the same license.
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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