YugabyteDB MCP Server

What does “YugabyteDB” MCP Server do?

The YugabyteDB MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable large language models and AI assistants to interact directly with YugabyteDB databases. By serving as a bridge between AI clients and the database, this server allows users to perform tasks such as listing database tables, viewing schema details, and running read-only SQL queries, all through standardized MCP interfaces. This greatly enhances developer workflows by making it simple for AI-powered tools and agents to access and manipulate structured data in YugabyteDB, facilitating activities like data exploration, auditing, and integration into broader development pipelines. The server is compatible with popular MCP clients including Claude Desktop, Cursor, and Windsurf Editor, and is designed for seamless deployment and secure operation.

List of Prompts

No prompt templates are mentioned in the repository.

List of Resources

No explicit MCP resources are listed in the repository.

List of Tools

• summarize_database
  Lists all tables in the YugabyteDB database, including their schema and row counts. This tool enables LLMs and users to quickly obtain an overview of the database structure and its contents.

• run_read_only_query
  Executes a user-specified, read-only SQL query on the connected YugabyteDB instance and returns the results as JSON. This tool allows safe data exploration and retrieval without risking modifications to the database.

Use Cases of this MCP Server

• Database Exploration
  Developers and AI agents can list all tables and view their schemas, making it easier to understand the structure and contents of large YugabyteDB deployments.

• Data Auditing
  Run read-only queries to audit data across tables, check for anomalies, or validate business logic without risking accidental data changes.

• Integration with AI Assistants
  Connects YugabyteDB to AI-powered assistants (e.g., Claude, Cursor) for conversational querying and intelligent data navigation.

• Rapid Prototyping and Development
  Enables fast, interactive exploration of database contents, which benefits developers during schema design, testing, and debugging.

• Secure Data Sharing
  Allows external collaborators or tools to query data securely via MCP without direct database access or risk of data mutation.

How to set it up

Windsurf

1. Install Windsurf Editor.
2. Go to Windsurf > Settings > Windsurf Settings > Cascade > Model Context Protocol (MCP) Servers > Add server > Add custom server.
3. Add the configuration (see JSON example).
4. Save and refresh.

Example JSON configuration

{
  "mcpServers": {
    "yugabytedb-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/cloned/yugabytedb-mcp-server/",
        "run",
        "src/server.py"
      ],
      "env": {
        "YUGABYTEDB_URL": "dbname=database_name host=hostname port=5433 user=username password=password"
      }
    }
  }
}

Claude

1. Edit configuration: Claude → Settings → Developer → Edit Config.
2. Add the configuration under mcpServers.
3. Set your YugabyteDB URL in the env field.
4. Restart Claude Desktop.

Example JSON configuration

{
  "mcpServers": {
    "yugabytedb-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/cloned/yugabytedb-mcp-server/",
        "run",
        "src/server.py"
      ],
      "env": {
        "YUGABYTEDB_URL": "dbname=database_name host=hostname port=5433 user=username password=password"
      }
    }
  }
}

Cursor

1. Install Cursor.
2. Go to Cursor > Settings > Cursor Settings > MCP > Add a new global MCP server.
3. Add the configuration as above.
4. Save the configuration.
5. Refresh to ensure the server is enabled.

Example JSON configuration

{
  "mcpServers": {
    "yugabytedb-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/cloned/yugabytedb-mcp-server/",
        "run",
        "src/server.py"
      ],
      "env": {
        "YUGABYTEDB_URL": "dbname=database_name host=hostname port=5433 user=username password=password"
      }
    }
  }
}

Cline

No setup instructions are provided for Cline in the repository.

Securing API Keys

It is recommended to secure database credentials using environment variables. You can configure the YUGABYTEDB_URL in the env section of your configuration JSON.

{
  "mcpServers": {
    "yugabytedb-mcp": {
      "env": {
        "YUGABYTEDB_URL": "dbname=database_name host=hostname port=5433 user=username password=password"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "yugabytedb-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “yugabytedb-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The YugabyteDB MCP Server is a focused and useful MCP implementation for database access, with clear documentation and robust security guidance. However, it lacks prompt templates, explicit resource definitions, and advanced MCP features like Sampling or Roots. Its primary value is in database exploration and safe querying through AI clients.

MCP Score

Rating:
Given the coverage and clarity of the setup and tool documentation, but the lack of prompt templates, resource definitions, and advanced features, this MCP server scores 6/10 for practical, focused database use but limited breadth in MCP feature support.