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MCP server · Data

Pymssql MCP

MCP server for Microsoft SQL Server databases

Unclaimed Apache-2.0 last commit 8 months ago data
52Fair

Scored 9 days ago · breakdown

About Pymssql MCP

Pymssql MCP is an MCP server published by bpamiri in the Data category: mCP server for Microsoft SQL Server databases.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/bpamiri/pymssql-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

connectConnect to the database

Parameters not published.

disconnectClose all connections

Parameters not published.

list_databasesList available databases

Parameters not published.

switch_databaseSwitch database context

Parameters not published.

Ask AI

✦

Ask AI about Pymssql MCP

Powered by Claude · Grounded in docs

I know everything about Pymssql MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

3 checks have not been run yet.

Releases

v0.4.0v0.4.0 · 20 Dec 2025Changes Add comprehensive documentation Add foundational features: watchdog, transactions, query examples
v0.3.0v0.3.0 · 20 Dec 2025Changes Bump version to 0.3.0 for knowledge base feature Add knowledge base system for persistent database learning
v0.2.0v0.2.0 · 20 Dec 2025Changes Bump version to 0.2.0 for OAuth support Add OAuth authentication with Duo/OIDC support Fix mypy type error for cursor.rowcount
v0.1.0v0.1.0 · 20 Dec 2025Changes Rename package to pymssql-mcp Add MCP registry manifest and enhance publish workflow Fix linting and formatting issues Update project URLs to correct GitHub repo Add open-source project files Initial commit with MCP circular import…

README

pymssql-mcp

An MCP (Model Context Protocol) server for Microsoft SQL Server databases. Enables AI assistants like Claude to interact with SQL Server through a standardized protocol.

PyPI version

Features

  • Natural Language Queries: Ask Claude about your data in plain English
  • Schema Discovery: Explore tables, views, columns, and relationships
  • CRUD Operations: Read, insert, update, and delete rows safely
  • Stored Procedures: Execute stored procedures with parameters
  • Multi-Database Support: List and switch between databases
  • Data Export: Export query results to JSON or CSV files
  • Transaction Support: Begin, commit, and rollback transactions
  • Knowledge Persistence: Claude remembers what it learns about your database
  • Safety Controls: Read-only mode, command blocking, row limits, schema restrictions
  • Connection Watchdog: Automatic recovery from hung connections
  • OAuth Integration: Deploy as a Claude.ai Custom Connector with SSO

Documentation

Guide Description
What is MCP? Understanding MCP and pymssql-mcp
Installation Complete installation guide
Quickstart Get running in 10 minutes
Configuration All configuration options
Tools Reference Detailed tool documentation
Usage Examples Common usage patterns
OAuth Setup Claude.ai integration with SSO

Quick Start

1. Install

pip install pymssql-mcp

2. Configure Claude Desktop

Edit your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mssql": {
      "command": "pymssql-mcp",
      "env": {
        "MSSQL_HOST": "your-server.example.com",
        "MSSQL_USER": "your-username",
        "MSSQL_PASSWORD": "your-password",
        "MSSQL_DATABASE": "your-database",
        "MSSQL_READ_ONLY": "true"
      }
    }
  }
}

3. Restart Claude Desktop

Quit and reopen Claude Desktop. You'll see a hammer icon indicating tools are available.

4. Start Chatting

Ask Claude about your database:

"What tables are available?"

"Describe the Customers table"

"Show me the top 10 orders by total amount"

"How many customers do we have in each state?"

Available Tools

Connection & Database

Tool Description
connect Connect to the database
disconnect Close all connections
list_databases List available databases
switch_database Switch database context

Queries & Schema

Tool Description
execute_query Run a SELECT query
validate_query Check if a query is safe
list_tables List tables and views
describe_table Get column information

CRUD Operations

Tool Description
read_rows Read rows by ID or filter
insert_row Insert a new row
update_row Update an existing row
delete_row Delete a row

Stored Procedures

Tool Description
list_stored_procs List available procedures
describe_stored_proc Get procedure parameters
call_stored_proc Execute a procedure

Export & Transactions

Tool Description
export_to_json Export results to JSON
export_to_csv Export results to CSV
begin_transaction Start a transaction
commit_transaction Commit changes
rollback_transaction Rollback changes

Knowledge Persistence

Tool Description
save_knowledge Save learned information
get_all_knowledge Retrieve all knowledge
search_knowledge Search saved knowledge

Configuration

Required Variables

Variable Description
MSSQL_HOST SQL Server hostname
MSSQL_USER Database username
MSSQL_PASSWORD Database password
MSSQL_DATABASE Database name

Safety Settings

Variable Default Description
MSSQL_READ_ONLY false Block all write operations
MSSQL_MAX_ROWS 1000 Maximum rows per query
MSSQL_BLOCKED_COMMANDS DROP,TRUNCATE,... Commands to block
MSSQL_ALLOWED_SCHEMAS (all) Restrict to specific schemas
MSSQL_BLOCKED_DATABASES (none) Hide specific databases

See Configuration Reference for all options.

Deployment Modes

Local (Default)

Run as a local process with Claude Desktop:

pymssql-mcp

HTTP/SSE Server

Run as a shared HTTP server for multiple users:

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

Streamable HTTP (Claude.ai Integration)

Run with OAuth authentication for Claude.ai:

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

See OAuth Setup for complete integration instructions.

Development

# Clone repository
git clone https://github.com/bpamiri/pymssql-mcp.git
cd pymssql-mcp

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Lint and format
ruff check .
ruff format .

# Type check
mypy src/

Security

pymssql-mcp includes multiple safety features:

  • Read-only mode: Prevent all write operations
  • Command blocking: Block dangerous SQL commands (DROP, TRUNCATE, etc.)
  • Schema restrictions: Limit access to specific schemas
  • Database blocklist: Hide sensitive databases
  • Row limits: Cap query results to prevent memory issues
  • Query validation: Analyze queries before execution
  • Parameterized queries: Prevent SQL injection

See SECURITY.md for security policy and best practices.

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

License

Apache-2.0. See LICENSE for details.

Links

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Pymssql MCP

How do I install Pymssql MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pymssql MCP safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pymssql MCP still maintained?

The last commit was 8 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.