MCP Protocol Documentation
Integrate Ainoflow services with AI agents via Model Context Protocol
Model Context Protocol (MCP) is a standard for connecting AI assistants to external tools and services. It enables your AI agents to access document conversion, JSON storage, and other services directly.
Ainoflow provides MCP servers that integrate seamlessly with OpenAI Agent Builder, Claude Desktop, and Cursor IDE.
MCP Server Reference
MCP Server URL
https://mcp.ainoflow.io/mcp/v1/convertAvailable Tools
- submit_file_url - Submit file from URL for OCR or transcription
- OCR and audio transcription, 60+ languages
- Pre-signed URLs for result downloads
MCP Server URL
https://mcp.ainoflow.io/mcp/v1/storage/jsonAvailable Tools
- storage_json_create - Create with auto-generated key
- storage_json_upsert - Create/update with explicit key
- storage_json_get, delete, list_keys, get_metadata
MCP Server URL
https://mcp.ainoflow.io/mcp/v1/filesAvailable Tools
- files_upload - Upload with auto-generated or explicit key
- files_get_metadata, files_get_url, files_list, files_delete
- Pre-signed URLs and category organization
1. Get your API Key
Sign up and generate an API key from your dashboard.
2. Configure MCP Client
Add Ainoflow MCP server to your client configuration:
3. Start Using
Your AI agent can now access Ainoflow tools directly!
Complete guide for document conversion, OCR, and format transformation via MCP protocol.
View Convert DocsComplete guide for JSON storage, agent memory, and state management via MCP protocol.
View Storage DocsReady to integrate MCP?
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