Overview

The MCP DataBridge Server integrates with DataBridge to enable ingestion and retrieval of contextual information from a local database, supporting persistent storage for AI applications. It implements the Model Context Protocol (MCP), enabling connections to different ML services through a unified interface.

Developed by:

DataBridge

Key Features

🗄️

Contextual Information Ingestion

Ingest and manage contextual data from local databases for AI models.

🔍

Efficient Data Retrieval

Retrieve relevant contextual information quickly for AI applications.

🔗

Unified ML Service Interface

Connect to various ML services through a single, standardized interface.

💾

Persistent Storage Support

Utilize local databases for persistent storage of AI-related data.

Available Tools

Quick Reference

Tool	Purpose	Category
`ingest_data`	Ingest contextual information	Write
`retrieve_data`	Retrieve contextual information	Read
`list_ml_services`	List available ML services	Discovery

Detailed Usage

ingest_data▶

Ingest contextual data into the local database.

use_mcp_tool({
  server_name: "databridge",
  tool_name: "ingest_data",
  arguments: {
    data: {
      "document_id": "doc123",
      "content": "This is the content of the document."
    },
    collection: "documents"
  }
});

retrieve_data▶

Retrieve contextual data from the local database.

use_mcp_tool({
  server_name: "databridge",
  tool_name: "retrieve_data",
  arguments: {
    query: "document_id = 'doc123'",
    collection: "documents"
  }
});

list_ml_services▶

List available ML services connected through the DataBridge MCP server.

use_mcp_tool({
  server_name: "databridge",
  tool_name: "list_ml_services",
  arguments: {}
});

Installation

{
  "mcpServers": {
    "databridge": {
      "command": "python",
      "args": [
        "-m",
        "databridge.mcp"
      ]
    }
  }
}

Prerequisites:

Ensure Python 3.8 or higher and uv or pip are installed. Install with uv: uv venv && source .venv/bin/activate && uv pip install mcp-server Install with pip: pip install mcp-server

Sources

Supabase MCP Server

Supabase MCP servers enable AI models to interact with Supabase backends, providing capabilities for PostgreSQL databases, real-time subscriptions, authentication, and storage operations.

Model Context Protocol (MCP): Open Standard for AI Integration

The Model Context Protocol (MCP) is an open standard enabling AI systems to connect with diverse data sources, tools, and services, eliminating custom integrations for seamless interaction.

Content and Media MCP Servers

Explore seamless integration with leading content management systems, media processing tools, and digital asset management platforms through our Content & Media category. These integrations enable robust content creation, media processing, and asset management for your AI-powered applications.

DataBridge MCP Server