Turn OpenAPI specs, GraphQL schemas, and existing MCP servers into typed tools for AI agents. An API-to-MCP platform with a dashboard, CLI, and TypeScript/Python clients: deterministic endpoint mappin
View on GitHub ↗Homepage ↗Turn APIs into agent tools. Control every call.
Open-source API-to-MCP generation and runtime. Typed tools, credential handling, approval policies, and execution traces in one codebase.
Website · Quick start · Demo · How it works · Docs · Contribute
Astrail turns API definitions into typed tools that agents can discover and call through the Model Context Protocol (MCP). Import a spec, generate the tools, and configure how they execute. The runtime brings authentication, OAuth, approvals, network policy, and traces into the same workflow.
- Start with the API you already have. Import OpenAPI/Swagger, Google Discovery, GraphQL, or an existing HTTP MCP server. - Make execution explicit. Configure allow, approval, and block policies alongside credential and scope checks. - Inspect the path from tool to endpoint. Calls follow deterministic endpoint maps; Code Mode compiles supported calls without evaluating generated JavaScript. - Try the core locally. The offline example generates and validates tools without a database, account, model key, or upstream API call.
- Why Astrail - Use cases - Quick start - See it in action - How it works - Capabilities - Run the dashboard - Connect to an endpoint - Documentation - Repository layout - Development - Current boundaries - Contribute - Community and links - License
An agent needs more than an API description to take an action: it needs a tool schema, a route to execute, credentials, and rules for when the call is allowed. Astrail brings those pieces into one workflow.
From the project README.
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