Production MCP server: one endpoint gives AI agents access to 1380 tools from 394 providers, pay-per-call via x402 (USDC on Base) or MPP (USDC on Tempo).
{
"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.
- 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
Registry listings: Smithery · Glama · MCP Registry (io.github.whiteknightonhorse/apibase) · PulseMCP · MPPScan
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 -dFull prerequisites, verification steps, and config reference: docs/self-hosting.md.
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.