@cqnce/mcp-server
The @cqnce/mcp-server provides human-in-the-loop authorization for AI agents, enabling them to request, monitor, and manage approvals for risky actions like destructive, irreversible, or financial operations.
Core tools:
submit_authorization_request: Non-blocking submission, returns a request ID immediately.wait_for_approval: Blocks until a human decision (APPROVED/REJECTED), used for actions requiring immediate clearance.poll_request_status: Check the current status (PENDING, APPROVED, REJECTED, EXPIRED, CANCELLED) by ID.cancel_request: Cancel a pending request.list_requests: List and filter requests by status, date range, and tags for auditing.get_request: Retrieve full details including payload, metadata, and status.
Additional features:
Supports flexible approval workflows with routing modes (PARALLEL, SERIAL, MAJORITY, CHAIN) and custom routing rules.
Integrates with AI clients like Claude and Cursor, offering local execution or remote HTTP transport.
Enables project-level configuration, admin management of rules/agents/teams using an
CQNCE_ADMIN_TOKEN.Self-hostable via Cloudflare Worker for cloud-based agents.
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., "@@cqnce/mcp-serverRequest human approval before deploying the payments service to production"
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.
@cqnce/mcp-server
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-serverSet the CQNCE_API_KEY environment variable to your project API key before running.
Related MCP server: Datashift MCP Server
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-serverCloud 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 deploySet CQNCE_BASE_URL in the Cloudflare dashboard if you use a private cQnce deployment (defaults to https://api.cqnce.app).
Configuration
Variable | Required | Description |
| Yes | Project API key from cqnce.app |
| No | API base URL (default: |
| No | Tenant admin JWT — enables project/agent/team management tools |
Tools
Core (requires CQNCE_API_KEY)
Tool | Description |
| Submit a request and block until a human approves or rejects it. This is the primary tool for human-in-the-loop workflows. |
| Submit a request and return the |
| Check the current status of a request by ID. |
| Cancel a pending request. |
| List requests for this project (filterable by status, date, tags). |
| 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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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