Embedding Search MCP server

The Model Context Protocol (MCP) server enables searching through transcript segments by querying a Turso database containing embeddings. This tool allows you to find relevant transcript segments by asking questions without generating new embeddings - perfect for content exploration and information retrieval.

Configuration

To use this MCP server, you'll need to configure it through your MCP client. Here are configuration examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"mcp-embedding-search": {
			"command": "node",
			"args": ["/path/to/mcp-embedding-search/dist/index.js"],
			"env": {
				"TURSO_URL": "your-turso-database-url",
				"TURSO_AUTH_TOKEN": "your-turso-auth-token"
			}
		}
	}
}

Claude Desktop Configuration

Add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"mcp-embedding-search": {
			"command": "node",
			"args": ["/path/to/mcp-embedding-search/dist/index.js"],
			"env": {
				"TURSO_URL": "your-turso-database-url",
				"TURSO_AUTH_TOKEN": "your-turso-auth-token"
			}
		}
	}
}

Usage API

The server implements one MCP tool that you can use in your applications:

search_embeddings

This tool searches for relevant transcript segments using vector similarity.

Parameters:

• question (string, required): The query text to search for
• limit (number, optional): Number of results to return (default: 5, max: 50)
• min_score (number, optional): Minimum similarity threshold (default: 0.5, range: 0-1)

Response format:

[
	{
		"episode_title": "Episode Title",
		"segment_text": "Transcript segment content...",
		"start_time": 123.45,
		"end_time": 167.89,
		"similarity": 0.85
	}
	// Additional results...
]

Database Requirements

This tool requires a Turso database with the following schema:

CREATE TABLE embeddings (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  transcript_id INTEGER NOT NULL,
  embedding TEXT NOT NULL,
  FOREIGN KEY(transcript_id) REFERENCES transcripts(id)
);

CREATE TABLE transcripts (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  episode_title TEXT NOT NULL,
  segment_text TEXT NOT NULL,
  start_time REAL NOT NULL,
  end_time REAL NOT NULL
);

The embedding column should contain vector embeddings that can be used with the vector_distance_cos function.

Features

The MCP embedding search server offers several useful features:

• Vector similarity search for transcript segments
• Relevance scoring based on cosine similarity
• Complete transcript metadata (episode title, timestamps)
• Configurable search parameters (limit, minimum score)
• Efficient database connection pooling
• Comprehensive error handling
• Performance optimized for quick responses

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "mcp-embedding-search" '{"command":"node","args":["/path/to/mcp-embedding-search/dist/index.js"],"env":{"TURSO_URL":"your-turso-database-url","TURSO_AUTH_TOKEN":"your-turso-auth-token"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "mcp-embedding-search": {
            "command": "node",
            "args": [
                "/path/to/mcp-embedding-search/dist/index.js"
            ],
            "env": {
                "TURSO_URL": "your-turso-database-url",
                "TURSO_AUTH_TOKEN": "your-turso-auth-token"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "mcp-embedding-search": {
            "command": "node",
            "args": [
                "/path/to/mcp-embedding-search/dist/index.js"
            ],
            "env": {
                "TURSO_URL": "your-turso-database-url",
                "TURSO_AUTH_TOKEN": "your-turso-auth-token"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect