agentictrade-mcp

AgenticTrade MCP Server

An MCP (Model Context Protocol) server that connects AI agents to the AgenticTrade marketplace — discover, call, and pay for API services as a buyer, or register and sell your own services as a provider.

What is AgenticTrade?

AgenticTrade is an API marketplace designed for AI agents. Instead of hardcoding API keys and endpoints, your agent discovers services at runtime, calls them through a payment proxy, and pays per call in USDC. This MCP server exposes the marketplace as tools that any MCP-compatible agent can use.

Tools

Buyer Tools (discover & consume)

Provider Tools (register & sell)

Installation

pip

pip install agentictrade-mcp

uv (recommended)

uv pip install agentictrade-mcp

From source

git clone https://github.com/judyailab/agentictrade-mcp.git
cd agentictrade-mcp
pip install -e .

Configuration

Environment Variables

Get an API Key

As a Buyer:

1. Visit agentictrade.io/api-docs
2. Create a buyer key via POST /api/v1/keys
3. Fund your account with USDC, crypto, or PayPal

As a Provider:

1. Call register_service — it creates your agent and returns an API key
2. Save the api_key from the response (shown once only)
3. Set it as AGENTICTRADE_API_KEY for subsequent calls

Usage

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "agentictrade": {
      "command": "agentictrade-mcp",
      "env": {
        "AGENTICTRADE_API_KEY": "your_key_id:your_secret",
        "AGENTICTRADE_BUYER_ID": "your_buyer_id"
      }
    }
  }
}

Cursor

Add to your MCP configuration in Cursor settings:

{
  "agentictrade": {
    "command": "agentictrade-mcp",
    "env": {
      "AGENTICTRADE_API_KEY": "your_key_id:your_secret"
    }
  }
}

Smithery

This server is available on the Smithery registry. Install via:

npx @smithery/cli install agentictrade-mcp

Augment Code

Register as an MCP tool source in Augment Code settings. The server runs on stdio transport and is compatible with any MCP client.

Programmatic (Python)

from agentictrade_mcp.server import mcp

# Run with stdio transport (default)
mcp.run(transport="stdio")

# Or with SSE for remote connections
mcp.run(transport="sse", port=8080)

Tool Details

discover_services

Search the marketplace for APIs your agent can use.

Parameters:
  query        (string)  — Search keywords (e.g., "crypto scanner")
  category     (string)  — Filter by category (e.g., "crypto", "data")
  max_results  (int)     — Max results, 1-100 (default: 20)

Returns: List of services with id, name, description, pricing, quality scores

get_service_details

Get complete information about a specific service.

Parameters:
  service_id  (string)  — Service UUID from discover_services

Returns: Full service info including endpoints, pricing, payment method, tags

call_service

Make a paid API call through the AgenticTrade proxy.

Parameters:
  service_id  (string)  — Service UUID to call
  api_key     (string)  — API key (or set AGENTICTRADE_API_KEY env var)
  payload     (string)  — JSON string of the request body
  path        (string)  — Optional sub-path (e.g., "/api/scan")
  method      (string)  — HTTP method (default: "POST")

Returns: Provider response with billing info (usage_id, amount, latency)

get_balance

Check available funds before making calls.

Parameters:
  api_key   (string)  — API key (or set AGENTICTRADE_API_KEY env var)
  buyer_id  (string)  — Buyer ID (or set AGENTICTRADE_BUYER_ID env var)

Returns: Current balance, total deposited, total spent (all in USDC)

list_categories

Browse what types of APIs are available.

Parameters: none

Returns: List of categories with service counts

register_service

Register a new service on the marketplace (one-step onboarding).

Parameters:
  name           (string)  — Display name for your service
  description    (string)  — What your service does
  endpoint       (string)  — HTTPS URL where your service accepts requests
  price_per_call (string)  — Price per call in USDC (default: "0.01")
  category       (string)  — Service category (e.g., "crypto", "ai", "data")
  tags           (string)  — Comma-separated discovery tags
  owner_email    (string)  — Contact email for owner verification (optional)

Returns: agent_id, owner_id, api_key (save this!), service_id, dashboard_url

update_service

Update an existing service's pricing, description, or status.

Parameters:
  service_id     (string)  — Service UUID to update
  api_key        (string)  — API key (or set AGENTICTRADE_API_KEY env var)
  price_per_call (string)  — New price in USDC (optional)
  description    (string)  — New description (optional)
  status         (string)  — "active" or "paused" (optional)

Returns: Updated service details

my_services

List all services you own with usage stats.

Parameters:
  api_key  (string)  — API key (or set AGENTICTRADE_API_KEY env var)

Returns: List of your services with id, name, status, pricing, usage stats

my_earnings

Check your earnings, settlements, and revenue.

Parameters:
  api_key  (string)  — API key (or set AGENTICTRADE_API_KEY env var)

Returns: total_earned, total_settled, pending_settlement, settlement history

Example Buyer Flow

1. list_categories()
   → See available categories: crypto, data, ai, ...

2. discover_services(query="crypto price", category="crypto")
   → Find services: CoinSifter Scanner (id: svc-abc, $0.01/call)

3. get_service_details(service_id="svc-abc")
   → Confirm pricing, check free tier, read description

4. get_balance()
   → Balance: $42.50 USDC

5. call_service(service_id="svc-abc", payload='{"symbol": "BTC"}')
   → Response: { "price": 67000, ... }
   → Billing: $0.01 deducted

Example Provider Flow

1. register_service(
       name="My Crypto Scanner",
       description="Real-time crypto market analysis",
       endpoint="https://my-api.com/scan",
       price_per_call="0.05",
       category="crypto",
       tags="scanner,bitcoin,analysis"
   )
   → agent_id: "abc123-...", api_key: "acf_xxx:secret", service_id: "svc-def"

2. my_services()
   → Your services: My Crypto Scanner (active, 0 calls)

3. update_service(service_id="svc-def", price_per_call="0.03")
   → Price updated to $0.03/call

4. my_earnings()
   → Total earned: $12.50, Pending: $4.20, Settled: $8.30

Development

# Clone and install dev dependencies
git clone https://github.com/judyailab/agentictrade-mcp.git
cd agentictrade-mcp
pip install -e ".[dev]"

# Run tests
pytest

# Run server locally
AGENTICTRADE_BASE_URL=https://agentictrade.io agentictrade-mcp

License

MIT License. See LICENSE.

Links

• Marketplace: agentictrade.io
• API Docs: agentictrade.io/api-docs
• MCP Protocol: modelcontextprotocol.io
• Smithery Registry: smithery.ai
• Built by: JudyAI Lab