Adapterly Documentation¶
Welcome to Adapterly - the MCP gateway that connects AI agents to your business systems.
New to Adapterly? Start with the Getting Started Tutorial for a complete introduction.
Who is Adapterly for?¶
- Teams using AI agents - Give Claude, ChatGPT, or Cursor access to your business systems
- System integrators - Connect APIs and expose them as MCP tools
- Enterprises - Centralize system access with audit logging and project scoping
Quick Start¶
- Add systems — Create adapters from OpenAPI specs, HAR files, or configure manually
- Configure credentials - Set up OAuth, API keys, or other auth for each system
- Create a project - Scope which systems and tools are available
- Generate API key - Get an
ak_live_xxxkey for MCP access - Connect AI agent - Point Claude or any MCP client to the gateway
Concepts at a Glance¶
| Concept | Description |
|---|---|
| System | External service (any REST or GraphQL API) |
| Interface | System's API endpoint (REST, GraphQL, XHR) |
| Resource | Data entity (projects, users, orders) |
| Action | Operation on resource (list, get, create, update) |
| Project | Scoped workspace with selected system integrations |
| API Key | MCP authentication key (ak_live_xxx / ak_test_xxx) |
| MCP Tool | Auto-generated function for AI agents |
Documentation Structure¶
Core Concepts¶
Deep dive into systems, projects, permissions, and gateway architecture.
Guides¶
Step-by-step instructions for adding adapters, configuring credentials, and deploying gateways.
Recipes¶
MCP usage examples and AI conversation patterns.
MCP & Agents¶
MCP protocol details, connection setup, and agent configuration.
Reference¶
Adapter data model, MCP JSON-RPC protocol, and API endpoints.
Troubleshooting¶
Common errors and their solutions.