Internal AI Bridge

关于

The Internal AI Bridge exposes a Model Context Protocol (MCP) interface, enabling seamless integration between internal, in-house AI systems and external open-source tools like OpenWebUI or workflow automation platforms such as n8n. This bridge is particularly useful for organizations using proprietary AI tools that may contain sensitive data or have specific usage constraints, allowing them to leverage these internal AIs within broader ecosystems. It facilitates communication through webhooks, manages conversation history in SQLite, provides an OpenAI-compatible endpoint, and includes features like automatic retries for robust operation.

主要功能

• Persists conversation transcripts in SQLite and provides a `/memory/recall` endpoint to fetch context blocks per session.
• Provides tools (`start_ai_message`, `trigger_webhook`, `call_ai_and_webhook`) for prompt and webhook orchestration.
• Offers stdio, WebSocket, and an OpenAI-compatible `/v1/chat/completions` endpoint for flexible integration.
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• Includes discovery resources for webhooks, messages, and conversation sessions.
• Features automatic retry for network errors (up to 3 attempts) and a lightweight OpenAPI specification at `/mcp/openapi.json`.

使用案例

• Connecting OpenWebUI to an organization's proprietary internal AI service.
• Integrating internal AI platforms with n8n workflows for automated tasks and processes.
• Providing a standardized Model Context Protocol (MCP) bridge for in-house AI solutions to interact with various open-source clients.