Coordination MCP
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., "@Coordination MCPadd an update to ticket T-42 with my review summary"
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.
Coordination MCP
Coordination MCP is a lightweight shared work-state service for multiple AI participants. It provides persistent Tickets, immutable Updates, and text-based Artifacts through MCP, allowing ChatGPT, local AI, and coding agents to share, incrementally synchronize, and restore work context within the same Scope.
What V0.1 can do
Ticket: stores the current state of a piece of work;title,status,artifact_ids, andmetacan be updated.Update: stores facts, findings, decisions, or results that have already occurred, assigned monotonically increasingseqperScope.Artifact: stores immutable shared text content, such as Markdown, logs, or long documents.All objects are assigned globally unique IDs by the server.
References to
TicketandArtifactmust belong to the sameScope.
V0.1 does not include authentication, a workflow engine, queue acknowledgement, a relationship graph, wake-up notification, or binary artifact support.
Recommended usage patterns
Ticketrepresents the current mutable state of an ongoing work item; it is not an event log.Updaterepresents immutable events that have already occurred in the work timeline, such as requests, findings, decisions, or results.Artifactrepresents immutable long-form text content; long reviews, specifications, or logs should go intoArtifact, not be stuffed intoUpdate, and should be linked viaartifact_ids.created_byshould use a participant label that is stable across runs and across agents, such aschatgptorpi-local-agent; do not use random or changing names each time, so that timeline attribution stays clear. This field is for provenance, not authentication.
A typical review loop is: a local AI requests review via Update → ChatGPT saves the full review as an Artifact and returns a summary and artifact_ids via an Update → the local AI fixes the code and appends a result Update → ChatGPT reviews again.
Quick start
Requirements: Node.js 24+.
cd /path/to/coordination-mcp
npm install
npm run build
node dist/main.jsThe service listens on the following by default:
http://127.0.0.1:3000/mcpYou can also run the development version directly:
npm run devThe service only binds to 127.0.0.1. If you need remote ChatGPT to access it, expose the MCP endpoint through a secure tunnel; do not expose the Node.js service directly to the public internet. V0.1 has no authentication yet.
Configuration
Configuration precedence, from lowest to highest, is:
代码默认值 < config/default.yml < ~/.coordination-mcp/config.yml < --profile < 环境变量User configuration
Create a user configuration:
mkdir -p ~/.coordination-mcp
$EDITOR ~/.coordination-mcp/config.ymlExample:
port: 43721
allowedHosts:
- 127.0.0.1
- localhost
# dataDirectory: /absolute/path/to/coordination-data~/.coordination-mcp/config.yml is optional and is not generated automatically by the service. When dataDirectory is not set, the default is:
~/.coordination-mcp/dataIt is recommended to write a custom dataDirectory as an absolute path. Relative paths are resolved against the current working directory at process startup.
Profile
Profile paths are resolved relative to the current working directory; once specified, the file must exist:
node dist/main.js --profile config/local.yml
node dist/main.js --profile=/absolute/path/to/local.ymlA profile only overrides the fields it declares; undeclared fields continue to inherit from the preceding configuration.
Environment variables
PORT=43721 \
COORDINATION_DATA_DIR=/absolute/path/to/data \
COORDINATION_ALLOWED_HOSTS=127.0.0.1,localhost \
node dist/main.jsSupported environment variables:
Variable | Description |
| HTTP port, in the range |
| Data directory |
| Allowed |
The configuration file is read only at service startup; after modifying it, restart main.js.
MCP Tools
The service exposes the following 8 tools via POST /mcp:
Tool | Purpose |
| List Tickets in a |
| Read a single Ticket |
| Create a Ticket |
| Update the mutable fields of a Ticket |
| Incrementally read Updates by |
| Append an immutable Update |
| Create an immutable text Artifact |
| Read a single Artifact |
MCP initialization example
curl -N \
-H 'Accept: application/json, text/event-stream' \
-H 'Content-Type: application/json' \
-H 'mcp-protocol-version: 2025-03-26' \
-X POST http://127.0.0.1:3000/mcp \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "initialize",
"params": {
"protocolVersion": "2025-03-26",
"capabilities": {},
"clientInfo": {
"name": "manual-client",
"version": "0.1.0"
}
}
}'Create Ticket example
Example tools/call arguments:
{
"name": "create_ticket",
"arguments": {
"scope": "coordination-mcp",
"title": "Review the MCP integration",
"created_by": "local-ai",
"status": "open",
"meta": {
"priority": "high"
}
}
}Data storage
The default data directory is created on demand; starting the service or performing read operations alone will not create the data directory. The first time a Ticket, Update, or Artifact is written, a structure similar to the following is created:
~/.coordination-mcp/
├── config.yml # 可选用户配置
└── data/
└── scopes/
└── <base64url-scope>/
├── tickets/
│ └── T-*.json
├── updates.jsonl
└── artifacts/
└── A-*.jsonTickets and Artifacts use separate, pretty-printed JSON files.
Updates for a
Scopeuse an append-only JSONL file; at read time, a corrupt trailing record that is not newline-terminated and cannot be parsed is ignored, but JSON corruption in fully newline-terminated records is not hidden.New directories use
0700, and new data files use0600.V0.1 uses an in-process
Scopemutex; cross-process locking or distributed deployment is not supported.
Development and validation
npm test
npm run check
npm run buildProject documentation
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Maintenance
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