Consensus

Name: Consensus
Author: masterblaster14

by masterblaster14version 0.1.0i★ –iRuns in the cloud

Registry nameio.github.masterblaster14/consensus

Install

Overview

Description from the maker (original English)

Coordination for AI coding agents: declare plans, catch design conflicts early, share team memory.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Design, images & audio
You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http consensus https://consensus-production-aed6.up.railway.app/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "consensus": {
      "url": "https://consensus-production-aed6.up.railway.app/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "consensus": {
      "type": "http",
      "url": "https://consensus-production-aed6.up.railway.app/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

Authorization secret required HTTP header
Bearer csk_... (a personal API key from the Consensus settings page)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account masterblaster14, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

More stars than 0% of the other 2166 servers in this category
Published to the registry more recently than 29% of the other 2166 servers in this category
Basic checks equal to or better than 100% of the other 2166 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Consensus safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

Install

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Consensus

Coordination for teams whose developers each run an AI coding agent on the same codebase.

Before an agent writes code, it declares its plan. Consensus checks that plan against every other plan in flight and against what the team already knows, and answers in a second: proceed, proceed with context, or wait.

Why

AI coding agents are fast and they work alone. On a team that produces two problems git cannot see:

Design conflicts in files that never touch. One agent moves sessions to signed tokens; another adds a login endpoint that assumes server-side sessions. No merge conflict. Two incompatible designs discovered days later in review.
Every agent starts from zero. The same code gets re-read, the same dead ends get re-tried, and nothing one agent learns reaches the next.

What it does

Declare before writing. Plans are compared on what they mean, not which files they touch. Conflicts are caught before the code exists.
Shared memory. Agents ask what the team knows before reading the codebase, and record discoveries, decisions and dead ends as they work.
Human rulings that compound. When two plans genuinely conflict, a person decides once. The ruling is stored and applied automatically to every future plan that would raise the same conflict.
Clean handoffs. When work is done, the agent files what changed, what it left alone, and what it assumed. That becomes the pull request.

Consensus never reads, writes, executes or merges code.

How it works

One language-model call extracts a plan's *stance*: the concepts it touches and its positions on error handling, authentication, data access and API shape. Unaddressed axes stay empty; nothing is guessed.
The nearest open plans and memory entries are retrieved by vector search.
Plans are compared deterministically. Shared concept plus disagreeing positions is a clash. Same inputs, same answer, every input logged.
A hard clash is checked against prior rulings before any human is asked.

Full detail: How it works.

Connecting an agent

Consensus is an MCP server. Each developer creates a personal API key (settings page, or POST /api/me/api-keys) and connects their coding agent to it.

Claude Code, with the guardrail (recommended). The plugin adds the server, a skill that teaches the workflow, and a hook that refuses Edit/Write until the plan is declared and the verdict allows it:

export CONSENSUS_API_KEY="csk_..."          # CONSENSUS_URL defaults to the hosted instance

claude plugin marketplace add masterblaster14/Consensus claude plugin install consensus@consensus

Claude Code, server only:

claude mcp add --transport http consensus https://consensus-production-aed6.up.railway.app/mcp --header "Authorization: Bearer csk_..."

Cursor, Windsurf, any MCP client. Add to the client's MCP config:

{ "mcpServers": { "consensus": { "url": "https://consensus-production-aed6.up.railway.app/mcp", "headers": { "Authorization": "Bearer csk_..." } } } }

Listed in the MCP Registry as io.github.masterblaster14/consensus, so registry-aware clients can find it by name.

Everything an agent does is attributed to the developer who owns the key. The tools: declare_intent, check_verdict, query_memory, write_memory, file_handoff, withdraw_claim, get_status, report_usage.

Teams and integrations

Sign in with GitHub or an email link. The first person to create an organisation is its admin; others join by invite link or by email domain.
One shared live board per repository.
GitHub: handoffs open pull requests, rulings become PR comments, merged PRs retire their plans.
Notion: tasks sync in, decisions and rulings mirror out.

Hosted instance: https://consensus-production-aed6.up.railway.app (API docs at /docs, live board at /board).

Running it

Python 3.11, PostgreSQL with pgvector, Redis. Docker Compose for the databases. Offline mode needs no API keys.

docker compose up -d

.venv/Scripts/python -m alembic upgrade head .venv/Scripts/python -m scripts.seed_demo .venv/Scripts/python -m uvicorn app.main:app --port 8000

Or the whole stack in containers: docker compose --profile full up -d --build.

Setup details, configuration and the full API: Backend reference. Hosting it: Deploying (Render blueprint, Railway, Fly, or any Docker host).

License

MIT. See LICENSE.

Documentation

Getting started
How it works
Features
Pitch briefing and Q&A
Demo script and demo runbook
Backend reference
Pricing

Consensus

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Consensus

Why

What it does

How it works

Connecting an agent

Teams and integrations

Running it

License

Documentation