MSSQL MCP Python Server
MCP server for safely exposing SQL Server database capabilities to LLM clients, with read-only mode, security features, and observability.
README
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MSSQL MCP Python Server
This is a MCP (Model Context Protocol) server implementation in Python that safely exposes SQL Server database capabilities to LLM clients.
- If you want a complete guide of how to use, click here!
Quick Start
1. Install Dependencies
cd mssql-mcp-python
pip install -r requirements.txt
# or:
uv sync
2. Configure Database
Create .env file:
# For local SQL Server (Linux/Docker)
export MSSQL_CONNECTION_STRING="Driver={ODBC Driver 17 for SQL Server};Server=localhost,1433;Database=master;UID=sa;PWD=YourPassword123"
# Or for Windows Auth
export MSSQL_CONNECTION_STRING="Driver={ODBC Driver 17 for SQL Server};Server=localhost;Database=master;Trusted_Connection=yes"
3. Run the Server
# With stdio transport (for MCP clients)
python -m mssql_mcp.cli
# With custom settings
MSSQL_QUERY_TIMEOUT=60 READ_ONLY=true python -m mssql_mcp.cli --log-level DEBUG
# Or with HTTP transport
python -m mssql_mcp.cli --transport http --bind 0.0.0.0:8080
# Build and run
docker build -t mssql-mcp:latest .
docker run -e MSSQL_CONNECTION_STRING="..." mssql-mcp:latest
4. Test with curl (HTTP mode)
# Health check
curl http://localhost:8080/health
# Readiness check
curl http://localhost:8080/ready
# Server info
curl http://localhost:8080/info
# Prometheus metrics
curl http://localhost:8080/metrics
Available MCP Tools
The server exposes these tools to MCP clients:
1. execute_sql(sql, format="table")
Execute SELECT queries (or write operations if enabled)
Input: "SELECT * FROM users LIMIT 10"
Output: ASCII table or JSON
2. list_schemas()
List all database schemas
Input: (none)
Output: Schema names list
3. list_tables(schema, limit=200)
List tables with optional schema filter
Input: schema="dbo", limit=100
Output: Table list with metadata
4. schema_discovery(schema)
Get full schema metadata (tables, columns, types)
Input: schema="dbo"
Output: JSON with detailed column info
5. get_database_info()
Get server/database metadata
Input: (none)
Output: Database name, version, machine name
6. get_policy_info()
Get current security policy settings
Input: (none)
Output: Policy details (allowed operations, limits)
7. check_db_connection()
Health check for database connectivity
Input: (none)
Output: Connection status
Security Features
✅ Read-Only by Default
- Only SELECT queries allowed unless explicitly enabled
- Writes require
ENABLE_WRITES=true+ADMIN_CONFIRMtoken
✅ SQL Injection Prevention
- Parameterized queries via pyodbc
- Multi-statement query blocking
- Banned keyword detection (DROP, ALTER, EXEC, etc.)
✅ Sensitive Data Protection
- Automatic log redaction (passwords, connection strings)
- Query hashing for safe logging
- No credentials in response bodies
✅ Resource Limits
- Query timeouts (default 30s)
- Row limits (default 50,000 rows)
- Query length limits (50KB)
- Connection pool limits
✅ Audit Trail
- Structured logging with request metadata
- Query metrics and statistics
- Client ID tracking (when provided)
Observability
Prometheus Metrics
Available at GET /metrics (HTTP mode):
mssql_queries_executed_total— Total queries by tool and statusmssql_queries_blocked_total— Blocked queries by reasonmssql_query_duration_seconds— Query latency histogrammssql_query_rows_returned— Result set size histogrammssql_active_queries— Currently executing queriesmssql_server_ready— Server readiness (0/1)
Structured Logs
All logs in JSON format (when LOG_FORMAT=json):
{
"timestamp": "2024-01-15T10:30:00.123456",
"level": "INFO",
"logger": "mssql_mcp.tools",
"message": "Query allowed",
"module": "tools",
"function": "execute_sql",
"line": 42
}
Health Checks
GET /health— Liveness probe (always 200)GET /ready— Readiness probe (200 if DB connected)
Common Tasks
Change Log Level
LOG_LEVEL=DEBUG python -m mssql_mcp.cli
Enable Write Operations
ENABLE_WRITES=true ADMIN_CONFIRM=secret python -m mssql_mcp.cli
Increase Query Timeout
MSSQL_QUERY_TIMEOUT=120 python -m mssql_mcp.cli
Run Multiple Instances
python -m mssql_mcp.cli --transport http --bind 127.0.0.1:8080
python -m mssql_mcp.cli --transport http --bind 127.0.0.1:8081 # Different port
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