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  1. Home
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  3. Llm Council
Llm Council logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 11:46:42 AM

Llm Council

User RatingsBe the first to rate and review this MCP server!
View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website
llmopenroutermulti-agentevaluationdeliberation

Runs several configured LLMs through OpenRouter, compares their answers anonymously, and produces a synthesized final response.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for elhamid/llm-council, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

The elhamid/llm-council MCP server repository describes a local web application that sends prompts to multiple configured LLMs through OpenRouter. It runs three stages: parallel responses, anonymized peer ranking, and final synthesis by a designated Chairman model. Results, rankings, model mappings, roles, and conversation history are stored locally as JSON. Reach for it when you want to compare several model outputs and inspect how the final answer was assembled; the provided material does not document an MCP protocol interface.

Use cases

•Compare answers from several configured LLMs
•Inspect anonymous peer rankings before synthesis
•Review decision traces across repeated runs
•Experiment with role-separated model deliberation

Key features

•Three-stage multi-LLM deliberation
•Anonymous response ranking
•Chairman-based final synthesis
•Decision trace and ranking persistence
•Local JSON conversation history
•Server-Sent Events progress updates

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Llm Council.

Extracted Tool Capabilities
Three-stage multi-LLM deliberation
Anonymous response ranking
Chairman-based final synthesis
Decision trace and ranking persistence
Local JSON conversation history
Server-Sent Events progress updates

How Llm Council works

What elhamid/llm-council MCP server does

The repository implements a local, browser-based council for comparing responses from multiple language models. A submitted prompt is sent to the models listed in the backend configuration through OpenRouter. The application displays the individual answers, collects peer evaluations, and then asks a selected Chairman model to produce the final response.

The elhamid/llm-council MCP server fork adds persistence and auditability changes around this workflow. Completed runs retain Stage 1 answers, Stage 2 rankings, the mapping between anonymous labels and models, aggregate ranking data, and model roles. Conversation history is loaded from the current backend data layout and can also recognize legacy layouts.

The README identifies the implemented role set as Builder, Reviewer, Synthesizer, and Contrarian, with provider-default mappings in the backend. These roles are intended to give participating models different review perspectives before synthesis.

How it works

Processing takes place in three stages:

  1. Each configured council model independently answers the user’s prompt.
  2. Models review anonymized versions of the other responses and rank them for qualities such as accuracy and insight. Stage 2 removes duplicate judge models, and the label-to-model mapping is preserved for later inspection.
  3. The Chairman receives the collected material and writes the final answer shown to the user.

The backend exposes a streaming endpoint that reports stage start and completion events using Server-Sent Events. The frontend is a React and Vite application that presents responses, reviews, and conversation history. Data is stored in JSON files rather than an external database.

Setup and configuration

Python dependencies are managed with uv, while the frontend uses npm. The documented setup runs uv sync for the backend and npm install inside the frontend directory. A root .env file must contain OPENROUTER_API_KEY, and the key must have access to the OpenRouter credits needed for the selected models.

Council membership and the Chairman are configured in backend/config.py. The examples use model identifiers from OpenRouter, but the README indicates that this configuration can be customized. The application can be started with the repository’s start.sh script or by running the backend and frontend development processes separately. Once running, the browser interface is available at http://localhost:5173.

Limitations and notes

The elhamid/llm-council MCP server is described in the supplied material as a local web app, not as a documented MCP tool implementation. No MCP transport, tool list, MCP client configuration, or compatibility with Claude Desktop, Cursor, Windsurf, or Cline is specified. Developers looking specifically for an MCP server should verify the repository’s current code before selecting it for that purpose.

The project is presented as an experimental fork and is provided without an ongoing support commitment. Running it requires an OpenRouter API key and associated usage credits. Because the council calls several models and then performs review and synthesis, costs depend on the configured models and the number of submitted prompts.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
8
Stargazers on the source repository.
Last commit
6mo ago
Most recent push to the default branch.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Llm Council

The README documents `uv sync` for backend dependencies and `npm install` in the `frontend` directory. It does not provide an MCP-specific installation command.

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Technical Specs & Signals

Category🤖Coding Agents
PricingBring your own API key (usage-based cost)
More technical detailsExpand â–¾
AuthAPI key
Last updatedSep 4, 2026
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit6mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Feb 20, 2026
43Quality signal: Fair · 43/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools19/30
Adoption & activity2/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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