CHAP Coordinator

Name: CHAP Coordinator
Author: BrightbeamAI

by BrightbeamAIversion 0.3.4i★ –iRuns on your computer

Registry nameio.github.BrightbeamAI/chap

Install

Overview

Description from the maker (original English)

Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.

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 on your computer
Transport: stdio
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CHAP_DB_PATH, CHAP_PROFILES

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "chap": {
      "command": "npx",
      "args": [
        "-y",
        "@brightbeamai/chap-coordinator-mcp"
      ],
      "env": {
        "CHAP_DB_PATH": "your-value",
        "CHAP_PROFILES": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add chap --env CHAP_DB_PATH=your-value --env CHAP_PROFILES=your-value -- npx -y @brightbeamai/chap-coordinator-mcp

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": {
    "chap": {
      "command": "npx",
      "args": [
        "-y",
        "@brightbeamai/chap-coordinator-mcp"
      ],
      "env": {
        "CHAP_DB_PATH": "your-value",
        "CHAP_PROFILES": "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": {
    "chap": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@brightbeamai/chap-coordinator-mcp"
      ],
      "env": {
        "CHAP_DB_PATH": "your-value",
        "CHAP_PROFILES": "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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

CHAP_DB_PATH env
Path to a SQLite file. Without it the coordinator runs in memory and workspaces are lost when the client restarts.
CHAP_PROFILES env
Comma-separated CHAP profiles enabled on new workspaces. Defaults to Core plus review, whisper, deliberation, handoff, control, routing, modes and audit-scitt.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account BrightbeamAI, 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32678 servers in this category
Published to the registry more recently than 80% of the other 32678 servers in this category
Basic checks equal to or better than 100% of the other 32678 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 CHAP Coordinator 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.4) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Starreel

Alternatives

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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.

@brightbeamai/chap-coordinator-mcp

MCP server adapter for the CHAP Coordinator. Wraps a Coordinator instance and exposes every CHAP method as an MCP tool, so any MCP client (Claude Desktop, Cursor, Claude Code, the rest) can drive a CHAP workspace directly.

Spec target: MCP 2026-07-28, serving MCP 2025-11-25 clients as well · CHAP 0.3.

Run it as a server

The package ships a stdio server, so an MCP client can use CHAP without any code. Point the client at it:

"mcpServers": { "chap": { "command": "npx", "args": ["-y", "@brightbeamai/chap-coordinator-mcp"], "env": { "CHAP_DB_PATH": "~/chap.db" } } } }

All 39 methods arrive as tools named chap. . Two environment variables configure it:

Variable	Effect
`CHAP_DB_PATH`	Path to a SQLite file. Without it the coordinator runs in memory and every workspace is lost when the client restarts.
`CHAP_PROFILES`	Comma-separated profiles for new workspaces. Defaults to Core plus review, whisper, deliberation, handoff, control, routing, modes and audit-scitt, so the audit chain is on from the first entry.

Persistence needs better-sqlite3, an optional native dependency of the coordinator. If CHAP_DB_PATH is set and it cannot be loaded the server says so and exits rather than starting in memory and discarding the decisions it was asked to keep.

The server is also listed in the MCP registry as io.github.BrightbeamAI/chap.

Install

npm install @brightbeamai/chap-coordinator-mcp

Node 20+ required. Runtime dependencies: @brightbeamai/chap-coordinator, @modelcontextprotocol/sdk and zod. The binary is chap-mcp-server.

Quick start

import { Coordinator } from "@brightbeamai/chap-coordinator";

import { makeChapMcpServer } from "@brightbeamai/chap-coordinator-mcp"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

const coord = new Coordinator({ defaultProfiles: ["core/1.0", "review/1.0", "audit-scitt/1.0"], });

const server = makeChapMcpServer(coord, { name: "chap", version: "0.3.4" }); await server.connect(new StdioServerTransport());

The returned Server is the official MCP SDK's Server class with tools/list and tools/call handlers pre-registered. Attach any MCP transport (stdio, Streamable HTTP, etc.).

A runnable reference server is at reference/mcp-server-ts/.

What gets exposed

All 39 CHAP methods become MCP tools named chap. . Each tool's inputSchema is the JSON Schema for the corresponding method's params. Tool descriptions are tuned for LLM consumption.

The chap. prefix avoids collisions with other MCP servers a client might have loaded simultaneously.

Architecture

One Coordinator, one MCP server. Multi-workspace is handled inside the Coordinator (workspaces are addressable by id); the MCP layer is stateless and routes every tool call through coord.dispatch().
Single-sourced schemas. Tool inputs are described by JSON Schemas (not Zod) and passed straight to the Coordinator without re-validation at the MCP layer. The Coordinator's own dispatch validates params and returns spec-correct JSON-RPC error codes, which the adapter surfaces as MCP tool errors.
Auth deferred. The adapter ships unauthenticated; MCP's OAuth 2.1 auth model attaches at the Streamable HTTP transport, not inside the adapter.

Tests

npm test

The integration tests use the SDK's InMemoryTransport.createLinkedPair() to drive a wrapped Coordinator end-to-end, exercising every major profile.

License

Apache 2.0. See the parent repository's LICENSE.

CHAP Coordinator

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Starreel

README from the maker

@brightbeamai/chap-coordinator-mcp

Run it as a server

Install

Quick start

What gets exposed

Architecture

Tests

See also

License