APIbase.pro — The API Hub for AI Agents

One MCP + REST endpoint to 1399 tools from 402 providers. No signup, no subscription, no API key to start — pay per call in USDC (x402 on Base or MPP on Tempo).

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Quick Start

{
  "mcpServers": {
    "apibase": { "url": "https://apibase.pro/mcp" }
  }
}

That's the Claude Desktop config. Cursor, Windsurf, OpenAI Agents SDK, LangChain, Google ADK, CrewAI, Microsoft Copilot Studio, and plain REST: apibase.pro/connect.

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For AI Agents

• llms.txt — concise LLM context
• ai.txt — plain-text agent discovery
• mcp.json — MCP server metadata
• openapi.json — OpenAPI 3.1 spec
• api-catalog — RFC 9727 discovery linkset
• Roadmap — planned/shipped changes that affect what an agent can do or see

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Integrations & Registries

Full framework guides →

Registry listings: Smithery · Glama · MCP Registry (io.github.whiteknightonhorse/apibase) · PulseMCP · MPPScan

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Self-Hosting

git clone https://github.com/whiteknightonhorse/APIbase.git && cd APIbase
cp .env.example .env   # set POSTGRES_PASSWORD, X402_PAYMENT_ADDRESS, provider keys
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d

Full prerequisites, verification steps, and config reference: docs/self-hosting.md.

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Architecture

Single Node.js/TypeScript API server, PostgreSQL as the append-only financial source of truth, Redis for cache/rate-limiting only, multi-container Docker stack on one Hetzner server. Every tool call runs the same multi-stage pipeline (escrow-first, idempotent, fail-closed, content-moderated) — dual-rail payments (self-hosted x402 facilitator + MPP), error-code contract, and full container/pipeline detail (exact counts, live): docs/architecture.md.

License

MIT