
SurrealDB
Connects AI assistants to SurrealDB's multi-model database for executing queries and managing data across graph, document, and relational paradigms.
Connects to SurrealDB's multi-model database enabling graph, document, and relational operations through ten core tools including query execution, CRUD operations, graph traversal, and bulk data management.
What it does
- Execute SurrealQL queries
- Perform CRUD operations on records
- Create and traverse graph relationships
- Handle bulk data operations
- Merge and patch existing records
- Manage multi-database connections
Best for
About SurrealDB
SurrealDB is a community-built MCP server published by lfnovo that provides AI assistants with tools and capabilities via the Model Context Protocol. SurrealDB is a versatile graph database supporting graph, document, and relational data with powerful query and bulk man It is categorized under databases.
How to install
You can install SurrealDB in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
SurrealDB is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
- Multi-Database Support: Override namespace/database per tool call
- 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 uses environment variables for configuration.
Required Variables (at startup)
| Variable | Description | Example |
|---|---|---|
SURREAL_URL | SurrealDB connection URL | ws://localhost:8000/rpc |
SURREAL_USER | Database username | root |
SURREAL_PASSWORD | Database password | root |
Optional Variables (can be overridden per tool call)
| Variable | Description | Example |
|---|---|---|
SURREAL_NAMESPACE | Default SurrealDB namespace | test |
SURREAL_DATABASE | Default SurrealDB database | test |
Note: If
SURREAL_NAMESPACEandSURREAL_DATABASEare not set as environment variables, you must providenamespaceanddatabaseparameters in each tool call.
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
All tools support optional namespace and database parameters to override the default values from environment variables.
1. query
Execute raw SurrealQL queries for complex operations.
-- Example: Complex query with graph traversal
SELECT *, ->purchased->product FROM user WHERE age > 25
# Query with namespace/database override
query("SELECT * FROM user", namespace="production", database="main")
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")
# Select from a different database
select("user", namespace="other_ns", database="other_db")
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'")
<<<<<<< HEAD
<� Architecture
=======
Multi-Database Operations
You can work with multiple databases in a single session by using the namespace and database parameters:
# Create a record in the production database
create("user", {"name": "Alice"}, namespace="prod", database="main")
# Query from staging database
select("user", namespace="staging", database="main")
# Copy data between databases
users = select("user", namespace="staging", database="main")
for user in users["data"]:
create("user", user, namespace="prod", database="main")
Behavior Summary:
| Scenario | Result |
|---|---|
| Env vars set, no params | Uses pooled connection (best performance) |
| Env vars set, params provided | Uses override connection with specified namespace/database |
| No env vars, params provided | Uses override connection with specified namespace/database |
| No env vars, no params | Fails with clear error message |
<� Architecture
main
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 o
---
*README truncated. [View full README on GitHub](https://github.com/lfnovo/surreal-mcp).*
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