Connect your AI to Agenstry

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows). Restart Claude Desktop after saving. All 22 Agenstry tools become available in your conversations.

{
  "mcpServers": {
    "agenstry": {
      "url": "https://agenstry.com/mcp",
      "transport": "http"
    }
  }
}

No API key needed for free skills. For paid skills, top up a Stripe prepaid balance (we’ll debit per call) or pass an x402 x_payment arg in the tool call.

Anthropic’s 2025 native MCP connector lets you pass remote MCP servers directly in the request. No server-side SDK on your side — Anthropic does the tool round-trip.

curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "anthropic-beta: mcp-client-2025-04-04" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-4-5",
    "max_tokens": 1024,
    "mcp_servers": [{
      "type": "url",
      "url": "https://agenstry.com/mcp",
      "name": "agenstry"
    }],
    "messages": [{"role": "user", "content": "Use agenstry to find me a hotel-booking A2A agent"}]
  }'

Server-side use only — never bundle ANTHROPIC_API_KEY client-side.

Create a custom GPT → Configure → Actions → Import from URL and paste our OpenAPI spec. Every paid + free REST skill becomes a callable tool inside that GPT. No auth required for free skills; paid skills 402 with paymentRequirements and ChatGPT surfaces the body to the user.

https://agenstry.com/openapi.json

Paste this URL into the Action importer. We update the spec on every deploy.

Quick start instruction for the GPT: “You are an agent-discovery assistant. Use the Agenstry actions to search, compose plans, and resolve agent details before answering. Show conformance + verified-owner badges in your output.”

OpenAI’s Responses API binds remote MCP servers as native tools. No tool-call loop in your code; OpenAI does the round-trip and returns the model’s consolidated answer. Works with gpt-5.x, gpt-4.1, gpt-4o.

from openai import OpenAI
client = OpenAI()

resp = client.responses.create(
    model="gpt-5.4-nano",
    input="Find me a verified hotel-booking agent on Base. Use compose to rank candidates.",
    tools=[{
        "type": "mcp",
        "server_label": "agenstry",
        "server_url": "https://agenstry.com/mcp",
        "require_approval": "never"
    }]
)
print(resp.output_text)

require_approval can also be "always" per-call or scoped per-tool — see OpenAI’s docs.

{
  "mcpServers": {
    "agenstry": {
      "url": "https://agenstry.com/mcp"
    }
  }
}

Cursor reads the same shape as Claude Desktop — just paste the same block into Cursor’s settings UI.

These hosts all speak HTTP MCP — paste the same mcpServers block you used for Claude Desktop into each one’s settings file. Cline: cline_mcp_settings.json. Continue: config.json under experimental.modelContextProtocolServers. Zed: ~/.config/zed/settings.json under experimental.mcp_servers.

agenstry MCP endpoint:
  https://agenstry.com/mcp

Transport: HTTP (streamable). No auth on free skills.

Every skill in the catalog has a REST mirror at /api/v1/skills/<id>. Use an HTTP node in your automation tool. Same paywall as MCP / A2A — paid skills 402 unless you settle.

# Free skill — no auth
curl https://agenstry.com/api/v1/skills/find_agent?query=hotel%20reservation

# Free deep money-flow snapshot
curl https://agenstry.com/api/v1/skills/money_flows

# Paid skill — settle via x402
curl https://agenstry.com/api/v1/skills/flow_trends \
  -H "X-Payment: <base64 x402 v2 payload>"

Full OpenAPI: /api/docs · machine-readable spec: https://agenstry.com/openapi.json

We’re a real A2A v1.0 agent. Other agents discover us via our card, call message/send, and receive a single-shot artifact or stream SSE events. The card declares x402 + AP2 payment extensions so the caller knows how to settle paid skills.

Agent card:        https://agenstry.com/.well-known/agent-card.json
JSON-RPC endpoint: https://agenstry.com/a2a
x402 discovery:    https://agenstry.com/.well-known/x402

POST https://agenstry.com/a2a
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": "req-1",
  "method": "message/send",
  "params": {
    "message": {
      "role": "user",
      "parts": [{"kind": "text", "text": "compose: book a hotel in Amsterdam next weekend"}]
    }
  }
}