Universal MCP server: connect any OpenAPI/Swagger, GraphQL, gRPC or SOAP API to AI agents. Security-first, local, token-efficient. Any API. One server.
Stop installing a new MCP server for every service: point this one at any OpenAPI/Swagger, GraphQL, gRPC or SOAP spec - or pick one from the built-in catalog of 2500+ public APIs - and your AI agent can call it. Securely, in fewer steps, with fewer tokens.
Installation · Meta-tools · API catalog · Examples · Configuration · Security
Most "universal API" MCP servers only speak REST/OpenAPI. This project is built around three differentiators:
1. Truly universal - a normalized Operation model with pluggable spec adapters (OpenAPI, GraphQL, gRPC, SOAP). Tools and executors never care which protocol produced an operation. 2. Security-first / local-first - a direct response to supply-chain attacks like the AgentBaiting / FakeGit campaign. Outbound requests are restricted to an allowlist, secrets never touch logs, responses are size-capped, and every call is audit-logged. No arbitrary code execution, no binary downloads, no telemetry. 3. Built for context efficiency - field-level response filtering, chained and parallel execution, and response caching mean whole workflows fit in one tool call and responses stay small.
The agent explores APIs like a filesystem instead of loading hundreds of tools at once (which would blow up the context window on large APIs like Stripe). It searches for operations, inspects the ones it needs, then executes them.
Tool Purpose --- --- searchcatalog Find ready-to-load public APIs (curated list + APIs.guru directory, 2500+ specs) loadapi Register an API from a spec URL/file (protocol auto-detected) listapis List loaded APIs searchoperations Fuzzy-
From the project README.
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