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Pymssql-mcp MCP Server

Provides an MCP server that enables AI assistants to query and manage SQL Server data with safety controls.

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "bpamiri-pymssql-mcp": {
      "command": "pymssql-mcp",
      "args": [
        "--http",
        "--host",
        "0.0.0.0",
        "--port",
        "8080"
      ],
      "env": {
        "MSSQL_HOST": "your-server.example.com",
        "MSSQL_USER": "your-username",
        "MSSQL_DATABASE": "your-database",
        "MSSQL_PASSWORD": "your-password",
        "MSSQL_READ_ONLY": "true"
      }
    }
  }
}

You run an MCP server that lets an AI assistant interact with your Microsoft SQL Server databases through a standardized, safe interface. This enables natural language queries, schema discovery, CRUD operations, stored procedures, and more, all while giving you control over safety and access.

How to use

You will run the MCP server locally or as a shared HTTP service, then connect your AI assistant client to it. Start by configuring the MCP server with your SQL Server connection details, including host, user, password, and database. You can run the server in HTTP mode to serve multiple users or use the standard local mode for development and Claude integration.

How to install

pip install pymssql-mcp

Next, start the MCP server. For a local/development setup, run the MCP process directly. For HTTP access, expose the server on your network.

Configuration and operation

Configure your client (Claude Desktop or your MCP client) to point to the MCP server. Provide the SQL Server connection details as environment variables in the client configuration so the MCP server can connect on your behalf.

MSSQL_HOST=your-server.example.com
MSSQL_USER=your-username
MSSQL_PASSWORD=your-password
MSSQL_DATABASE=your-database
MSSQL_READ_ONLY=true

Run modes and examples

Local development mode runs the MCP server as a local process. To enable an HTTP server that can handle multiple users, start the server with HTTP options. To enable a streamable HTTP endpoint suitable for Claude.ai integration with SSO, use the streamable HTTP option.

pymssql-mcp --http --host 0.0.0.0 --port 8080
```

```
pymssql-mcp --streamable-http --host 0.0.0.0 --port 8080

Configuration reference

The MCP server uses a set of environment variables to control connectivity, safety, and behavior. You typically provide these in the environment where the MCP server runs or in the client configuration that connects to it.

Safety and ownership

Safety features help prevent accidental data exposure or modification. Use read-only mode, block unsafe commands, and apply schema or database restrictions as needed. Always validate queries before execution and prefer parameterized queries to defend against injection.

Troubleshooting

If the server cannot reach SQL Server, verify network access, credentials, and that the target database is reachable from the MCP host. Check that the MCP server process is running and listening on the expected port. Review environment variables for correctness.

Notes

This MCP server provides a comprehensive interface to SQL Server, including schema discovery, CRUD operations, and transaction management, with safety controls and knowledge persistence to help Claude remember learned insights about your data.

Available tools

connect

Establish a connection to the SQL Server database.

disconnect

Close all active connections to the database.

list_databases

List available databases on the server.

switch_database

Switch the active database context.

execute_query

Run a SELECT query and return results.

validate_query

Check if a query is safe to execute.

list_tables

List tables and views in the current database.

describe_table

Retrieve column information for a table.

read_rows

Read rows by ID or filter criteria.

insert_row

Insert a new row into a table.

update_row

Update an existing row.

delete_row

Delete a row from a table.

list_stored_procs

List available stored procedures.

describe_stored_proc

Get parameters for a stored procedure.

call_stored_proc

Execute a stored procedure with parameters.

export_to_json

Export query results to JSON.

export_to_csv

Export query results to CSV.

begin_transaction

Start a database transaction.

commit_transaction

Commit the current transaction.

rollback_transaction

Rollback the current transaction.

save_knowledge

Persist learned knowledge about the database.

get_all_knowledge

Retrieve all persisted knowledge.

search_knowledge

Search saved database knowledge.