Skip to main content

MCP server exposing Qonoro's x402 intelligence agents as tools for any MCP-compatible AI agent client.

Project description

qonoro-mcp-server

MCP (Model Context Protocol) server that exposes Qonoro's production x402 intelligence agents as tools, so any MCP-compatible AI agent client can discover and call them directly -- no custom HTTP/x402 client code needed.

This server is a thin, stateless protocol bridge. It contains no business logic and no payment validation of its own: every call is forwarded to the real https://api.qonoro.ai endpoint, and Qonoro's existing production payment_guard validates and settles payment exactly as it does for any direct HTTP/Bazaar caller today.

Tools exposed

Tool Qonoro endpoint Price
qonoro_company_enrich POST /v1/company/enrich $0.25 USDC
qonoro_company_research POST /v1/company/research $2.00 USDC
qonoro_competitors_analyze POST /v1/competitors/analyze $0.50 USDC
qonoro_sales_signals_find POST /v1/sales-signals/find $0.75 USDC
qonoro_person_enrich POST /v1/person/enrich $1.25 USDC
qonoro_revenue_qualify POST /v1/revenue/qualify-lead $0.75 USDC
qonoro_intent_signals_find POST /v1/intent-signals/find $0.75 USDC

How payment works

  1. Call the tool with your normal arguments.
  2. If the tool result contains "payment_required": true, it includes the exact price, network, and pay_to address Qonoro requires.
  3. Sign an x402 payment for that amount/network/address with your own wallet (Qonoro never sees or needs your private key).
  4. Call the tool again with the same arguments plus payment_signature set to your signed value. The server forwards it to Qonoro, which validates and settles it, then returns the real result.

No wallet key, API key, or secret is required to run this MCP server itself -- the only configuration is which Qonoro base URL to call (defaults to production).

Local Development

conda create -n qonoro-mcp python=3.12 -y
conda activate qonoro-mcp
pip install -e ".[dev]"
copy .env.example .env
pytest
qonoro-mcp

This repo has its own Conda environment (qonoro-mcp), same as every other Qonoro backend repo — see docs/01_PROJECT_SETUP_GUIDE.md. Do not install this into a shared/base environment; it isolates the mcp/x402 SDK versions from whatever other Qonoro repos have installed.

Or point an MCP client (Claude Desktop, Cursor, etc.) at:

{
  "mcpServers": {
    "qonoro": {
      "command": "qonoro-mcp"
    }
  }
}

Configuration

See .env.example. There are no secrets to fill in -- QONORO_BASE_URL defaults to https://api.qonoro.ai and only needs overriding for local testing against a dev server.

See AGENTS.md for the payment-bridge design rationale and the checklist for adding a new Qonoro agent to this server.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qonoro_mcp-0.2.0.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qonoro_mcp-0.2.0-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file qonoro_mcp-0.2.0.tar.gz.

File metadata

  • Download URL: qonoro_mcp-0.2.0.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for qonoro_mcp-0.2.0.tar.gz
Algorithm Hash digest
SHA256 198530b5a4e1007617ca498a8f2d6bbb9fcb3b07c66724e02836a70a285d4b20
MD5 2673e6ca0bf7a5b0c4ffc3c901264b9e
BLAKE2b-256 d91f800fb3b9507631ab04fb1ce3bb80e668f05e9c486c40d44d56a505074ead

See more details on using hashes here.

File details

Details for the file qonoro_mcp-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: qonoro_mcp-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for qonoro_mcp-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4be06239273e22e66020296b8ae10bfe32e62a2215e46eeb3732ad86be62733a
MD5 e26e9c717b9deee75fbe192b234dc879
BLAKE2b-256 6c8a84183afca2e59474d82f35d9b919919af34a0a875fe0eac836bee430b93e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page