surreal-mcp

SurrealDB MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to interact with SurrealDB databases

=� Overview

The SurrealDB MCP Server bridges the gap between AI assistants and SurrealDB, providing a standardized interface for database operations through the Model Context Protocol. This enables LLMs to:

Execute complex SurrealQL queries
Perform CRUD operations on records
Manage graph relationships
Handle bulk operations efficiently
Work with SurrealDB's unique features like record IDs and graph edges

( Features

Full SurrealQL Support: Execute any SurrealQL query directly
Comprehensive CRUD Operations: Create, read, update, delete with ease
Graph Database Operations: Create and traverse relationships between records
Bulk Operations: Efficient multi-record inserts
Smart Updates: Full updates, merges, and patches
Type-Safe: Proper handling of SurrealDB's RecordIDs
Connection Pooling: Efficient database connection management
Detailed Documentation: Extensive docstrings for AI comprehension

=� Prerequisites

Python 3.10 or higher
SurrealDB instance (local or remote)
MCP-compatible client (Claude Desktop, MCP CLI, etc.)

=� Installation

Using uvx (Simplest - No Installation Required)

# Run directly from PyPI (once published)
uvx surreal-mcp

# Or run from GitHub
uvx --from git+https://github.com/yourusername/surreal-mcp.git surreal-mcp

Using uv (Recommended for Development)

# Clone the repository
git clone https://github.com/yourusername/surreal-mcp.git
cd surreal-mcp

# Install dependencies
uv sync

# Run the server (multiple ways)
uv run surreal-mcp
# or
uv run python -m surreal_mcp
# or
uv run python main.py

Using pip

# Clone the repository
git clone https://github.com/yourusername/surreal-mcp.git
cd surreal-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install package
pip install -e .

# Run the server
surreal-mcp
# or
python -m surreal_mcp

� Configuration

The server requires the following environment variables:

Variable	Description	Example
`SURREAL_URL`	SurrealDB connection URL	`ws://localhost:8000/rpc`
`SURREAL_USER`	Database username	`root`
`SURREAL_PASSWORD`	Database password	`root`
`SURREAL_NAMESPACE`	SurrealDB namespace	`test`
`SURREAL_DATABASE`	SurrealDB database	`test`

Setting Environment Variables

You can copy .env.example to .env and update with your values:

cp .env.example .env
# Edit .env with your database credentials

Or set them manually:

export SURREAL_URL="ws://localhost:8000/rpc"
export SURREAL_USER="root"
export SURREAL_PASSWORD="root"
export SURREAL_NAMESPACE="test"
export SURREAL_DATABASE="test"

MCP Client Configuration

Add to your MCP client settings (e.g., Claude Desktop):

Using uvx (recommended):

{
  "mcpServers": {
    "surrealdb": {
      "command": "uvx",
      "args": ["surreal-mcp"],
      "env": {
        "SURREAL_URL": "ws://localhost:8000/rpc",
        "SURREAL_USER": "root",
        "SURREAL_PASSWORD": "root",
        "SURREAL_NAMESPACE": "test",
        "SURREAL_DATABASE": "test"
      }
    }
  }
}

Using local installation:

{
  "mcpServers": {
    "surrealdb": {
      "command": "uv",
      "args": ["run", "surreal-mcp"],
      "env": {
        "SURREAL_URL": "ws://localhost:8000/rpc",
        "SURREAL_USER": "root",
        "SURREAL_PASSWORD": "root",
        "SURREAL_NAMESPACE": "test",
        "SURREAL_DATABASE": "test"
      }
    }
  }
}

=' Available Tools

1. query

Execute raw SurrealQL queries for complex operations.

-- Example: Complex query with graph traversal
SELECT *, ->purchased->product FROM user WHERE age > 25

2. select

Retrieve all records from a table or a specific record by ID.

# Get all users
select("user")

# Get specific user
select("user", "john")

3. create

Create a new record with auto-generated ID.

create("user", {
    "name": "Alice",
    "email": "alice@example.com",
    "age": 30
})

4. update

Replace entire record content (preserves ID and timestamps).

update("user:john", {
    "name": "John Smith",
    "email": "john.smith@example.com",
    "age": 31
})

5. delete

Permanently remove a record from the database.

delete("user:john")

6. merge

Partially update specific fields without affecting others.

merge("user:john", {
    "email": "newemail@example.com",
    "verified": True
})

7. patch

Apply JSON Patch operations (RFC 6902) to records.

patch("user:john", [
    {"op": "replace", "path": "/email", "value": "new@example.com"},
    {"op": "add", "path": "/verified", "value": True}
])

8. upsert

Create or update a record with specific ID.

upsert("settings:global", {
    "theme": "dark",
    "language": "en"
})

9. insert

Bulk insert multiple records efficiently.

insert("product", [
    {"name": "Laptop", "price": 999.99},
    {"name": "Mouse", "price": 29.99},
    {"name": "Keyboard", "price": 79.99}
])

10. relate

Create graph relationships between records.

relate(
    "user:john",           # from
    "purchased",           # relation name
    "product:laptop-123",  # to
    {"quantity": 1, "date": "2024-01-15"}  # relation data
)

=� Examples

Basic CRUD Operations

# Create a user
user = create("user", {"name": "Alice", "email": "alice@example.com"})

# Update specific fields
merge(user["id"], {"verified": True, "last_login": "2024-01-01"})

# Query with conditions
results = query("SELECT * FROM user WHERE verified = true ORDER BY created DESC")

# Delete when done
delete(user["id"])

Working with Relationships

# Create entities
user = create("user", {"name": "John"})
product = create("product", {"name": "Laptop", "price": 999})

# Create relationship
relate(user["id"], "purchased", product["id"], {
    "quantity": 1,
    "total": 999,
    "date": "2024-01-15"
})

# Query relationships
purchases = query(f"SELECT * FROM {user['id']}->purchased->product")

Bulk Operations

# Insert multiple records
products = insert("product", [
    {"name": "Laptop", "category": "Electronics", "price": 999},
    {"name": "Mouse", "category": "Electronics", "price": 29},
    {"name": "Desk", "category": "Furniture", "price": 299}
])

# Bulk update with query
query("UPDATE product SET on_sale = true WHERE category = 'Electronics'")

<� Architecture

The server is built with:

FastMCP: Simplified MCP server implementation
SurrealDB Python SDK: Official database client
Connection Pooling: Efficient connection management
Async/Await: Non-blocking database operations

>� Testing

The project includes a comprehensive test suite using pytest.

Prerequisites

SurrealDB instance running locally
Test database access (uses temporary test databases)

Running Tests

# Make sure SurrealDB is running
surreal start --user root --pass root

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=surreal_mcp

# Run specific test file
uv run pytest tests/test_tools.py

# Run specific test class or method
uv run pytest tests/test_tools.py::TestQueryTool
uv run pytest tests/test_tools.py::TestQueryTool::test_query_simple

# Run with verbose output
uv run pytest -v

# Run only tests matching a pattern
uv run pytest -k "test_create"

Test Structure

tests/
├── __init__.py
├── conftest.py         # Fixtures and test configuration
├── test_tools.py       # Tests for all MCP tools
└── test_server.py      # Tests for server configuration

Writing Tests

The test suite includes fixtures for common test data:

clean_db - Ensures clean database state
sample_user_data - Sample user data
created_user - Pre-created user record
created_product - Pre-created product record

Example test:

@pytest.mark.asyncio
async def test_create_user(clean_db, sample_user_data):
    result = await mcp._tools["create"].func(
        table="user",
        data=sample_user_data
    )
    assert result["success"] is True
    assert result["data"]["email"] == sample_user_data["email"]

> Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Fork the repository
Create your feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

=� License

This project is licensed under the MIT License - see the LICENSE file for details.

=O Acknowledgments

SurrealDB for the amazing graph database
FastMCP for simplifying MCP server development
Model Context Protocol for the standardized AI-tool interface

=� Support

=� Email: your.email@example.com
=� Discord: Join our server
= Issues: GitHub Issues

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

MCP Server for SurrealDB - Bridge AI assistants with SurrealDB databases

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