@cqnce/mcp-server
MCP serverAI & modelsLets your agent pause and ask a human for approval before taking actions in its workflows.
Use @cqnce/mcp-server in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add @cqnce/mcp-server and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use @cqnce/mcp-server
Needs your own account with this service. Keys stay in your vault.
Details
Available today. Use it from your connected AI after setup.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
Add human approval to AI agent workflows through cQnce authorization tools.
Install @cqnce/mcp-server
The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user cqnce-mcp-server 'https://mcp.cqnce.app/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.cqnce.app/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=cqnce-mcp-server&config=eyJ1cmwiOiJodHRwczovL21jcC5jcW5jZS5hcHAvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.cqnce.app/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add cqnce-mcp-server --url 'https://mcp.cqnce.app/mcp'Run it once, then sign in with codex mcp login cqnce-mcp-server if the server asks for an account.
From the project's README
As published by cqnce-app/cqnce-mcp in README.md.
Official MCP server for cQnce — add human-in-the-loop authorization to any AI agent or workflow.
Connect Claude, Cursor, GitHub Copilot, or any MCP-compatible client to cQnce so the AI can request human approval before performing risky or irreversible actions.
Quick start
npx @cqnce/mcp-server
Set the CQNCE_API_KEY environment variable to your project API key before running.
Approval modes
Mode 1 — Agent-requested approval
The agent calls wait_for_approval or submit_authorization_request itself, as instructed in the system prompt or via tool discovery. This is the easiest integration path and works well for supervised workflows.
Risk: a compromised or misconfigured agent may simply not call the tool.
Mode 2 — Enforced approval gate (recommended for production)
The host application or executor intercepts every sensitive tool call before it runs and requires a prior cQnce approval, regardless of what the agent requested. The gate lives outside the model context — the agent cannot skip it.
This is a real security boundary. Build enterprise and compliance-sensitive integrations on this mode.
# Example: host-side interception (framework-agnostic)
HIGH_RISK_TOOLS = {"send_payment", "deploy_production", "delete_customer"}
def execute_tool_call(tool_call):
if tool_call.name not in HIGH_RISK_TOOLS:
return run_tool(tool_call)
decision = cqnce.submit_and_wait(
payload={"action": tool_call.name, "parameters": tool_call.arguments},
timeout_seconds=300,
)
if decision["status"] != "APPROVED":
return {"error": "not_authorized", "status": decision["status"]}
return run_tool(tool_call)
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"cqnce": {
"command": "npx",
"args": ["-y", "@cqnce/mcp-server"],
"env": {
"CQNCE_API_KEY": "your-project-api-key"
}
}
}
}
Cursor
Add to .cursor/mcp.json in your project (or the global ~/.cursor/mcp.json):
{
"mcpServers": {
"cqnce": {
"command": "npx",
"args": ["-y", "@cqnce/mcp-server"],
"env": {
"CQNCE_API_KEY": "your-project-api-key"
}
}
}
}
Any MCP client (stdio transport)
CQNCE_API_KEY=your-project-api-key npx @cqnce/mcp-server
Cloud agents (Streamable HTTP / remote MCP)
For cloud-hosted agents that cannot run local processes, use the cQnce MCP Worker deployed on Cloudflare Workers. It speaks the MCP Streamable HTTP transport and is stateless — every request authenticates with your API key.
Configure your cloud agent framework to connect to:
https://mcp.cqnce.app/mcp
Authorization: Bearer <your-project-api-key>
Example (Claude API with MCP):
import anthropic
client = anthropic.Anthropic()
response = client.beta.messages.create(
model="claude-opus-4-5",
max_tokens=1024,
mcp_servers=[
{
"type": "url",
"url": "https://mcp.cqnce.app/mcp",
"name": "cqnce",
"authorization_token": "your-project-api-key",
}
],
messages=[{"role": "user", "content": "..."}],
betas=["mcp-client-2025-04-04"],
)
Self-hosting
The Worker source is in this repository. Deploy your own instance to Cloudflare Workers:
npm install
npx wrangler deploy
Set CQNCE_BASE_URL in the Cloudflare dashboard if you use a private cQnce deployment (defaults to https://api.cqnce.app).
Configuration
| Variable | Required | Description |
|---|---|---|
CQNCE_API_KEY | Yes | Project API key from cqnce.app |
CQNCE_BASE_URL | No | API base URL (default: https://api.cqnce.app) |
CQNCE_ADMIN_TOKEN | No | Tenant admin JWT — enables project/agent/team management tools |
Tools
Core (requires CQNCE_API_KEY)
| Tool | Description |
|---|---|
wait_for_approval | Submit a request and block until a human approves or rejects it. This is the primary tool for human-in-the-loop workflows. |
submit_authorization_request | Submit a request and return the requestId immediately (non-blocking). |
poll_request_status | Check the current status of a request by ID. |
cancel_request | Cancel a pending request. |
list_requests | List requests for this project (filterable by status, date, tags). |
get_request | Get full details of a single request including agent responses. |
Admin (requires CQNCE_ADMIN_TOKEN)
Project management, routing rule configuration, agent/team management, and webhook callbacks.
Recommended system prompt
When integrating Claude via the Anthropic API, add this system prompt to enforce the authorization policy automatically — without relying on the user to request it each time:
You have access to the cQnce tool for human-in-the-loop authorization.
ALWAYS call wait_for_approval BEFORE performing any action that is:
- Destructive or irreversible (deleting data, dropping tables, removing files)
- Affecting production systems (deployments, database migrations, config changes)
- Financial (payments, transfers, subscription changes)
- Involving credentials or access control (creating/revoking API keys, changing permissions)
In the approval payload, include:
- "action": what you are about to do
- "target": what resource is affected
- "reason": why this action is needed
- "risk": what happens if approved or rejected
- "attachments": (optional) list of supporting files as { name, contentType, data (base64) }
— include logs, diffs, screenshots, or any evidence that helps the reviewer decide
When the response status is "REJECTED":
- Read the rejection reason carefully.
- If the reason identifies missing information or context, gather that information,
enrich the payload (or attachments), and resubmit via wait_for_approval.
- Only give up if the rejection reason makes clear the action itself is not permitted.
Proceed ONLY if the returned status is "APPROVED".
If "EXPIRED" or the rejection reason leaves no actionable path forward, stop and explain.
Example
Once configured, you can tell Claude:
"Before deleting the production database, ask for human approval via cQnce."
Claude will call wait_for_approval with the action details, pause until a human approves or rejects from the cQnce mobile app, and only proceed if the status is APPROVED. If rejected with a reason (e.g. "missing rollback plan"), Claude will gather that information and resubmit automatically.
Requirements
- Node.js 18+
- A cQnce account and project API key — sign up free
Signals
- GitHub stars
- 1
- Last commit
- Sep 2026
Advanced
- Delivery
- cqnce-mcp MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-cqnce-app-cqnce-mcp- Source
- github.com/cqnce-app/cqnce-mcp
- Hosted endpoint
https://mcp.cqnce.app/mcp
github.com/cqnce-app/cqnce-mcp
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