MCP MS SQL Server
An MCP server for executing queries on a Microsoft SQL Server database.
mcp-mssql-server
A Model Context Protocol (MCP) server that provides a standardized interface for AI models to interact with MS SQL Server databases. This server implements the MCP specification to enable seamless database operations through a consistent API.
Features
- Execute SQL queries with parameter support
- List all tables in the database
- Describe table schemas
- Support for both stdio and HTTP transport modes
- Comprehensive logging system
- Environment-based configuration
- Error handling and graceful shutdown
Prerequisites
- Node.js (version that supports ES modules)
- MS SQL Server instance
- Access credentials for the database
Installation
- Clone the repository
- Install dependencies:
npm install
You can also install the package globally:
npm install -g mcp-mssql-server
- Create a
.envfile in the project root with the following required variables:
DB_SERVER=your_server_address
DB_USER=your_username
DB_PASSWORD=your_password
DB_DATABASE_NAME=your_database_name
Usage
The server can be started in two different transport modes:
stdio Mode (Default)
npm start
# or
npm run start:stdio
HTTP Mode
npm run start:http
Development Mode
npm run dev
JSON-RPC Protocol
The server implements the JSON-RPC 2.0 protocol with the following key methods:
initialize- Initialize the server connection:
{
"jsonrpc": "2.0",
"id": 1,
"method": "initialize",
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {
"tools": {}
},
"clientInfo": {
"name": "your-client",
"version": "1.0.0"
}
}
}
tools/list- List available toolstools/call- Call a specific tool
Testing
The package includes a test client (test.package.js) that demonstrates how to interact with the MCP server:
node test.package.js
The test client implements an MCPTestClient class that:
- Spawns a server process using
npx mcp-mssql-server - Initializes the connection with protocol version '2024-11-05'
- Lists available tools
- Executes sample queries including:
- Listing all tables
- Running a specific SQL query to count documents
- Handles server responses and errors through stdio streams
- Includes proper error handling and process cleanup
Example test query from the client:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "execute_sql_query",
"arguments": {
"query": "SELECT COUNT(*) as document_count FROM document_new"
}
}
}
The test client provides a simple way to verify the server's functionality and can serve as a reference for implementing your own client.
Available Tools
The server provides the following MCP tools:
1. execute_sql_query
Execute SQL queries against the database with optional parameterization.
{
"query": "SELECT * FROM Users WHERE id = @userId",
"parameters": [
{
"name": "userId",
"type": "int",
"value": 1
}
]
}
2. list_tables
List all available tables in the connected database.
3. describe_table
Get detailed schema information for a specific table.
{
"table_name": "Users"
}
Logging
Logs are stored in the logs directory:
error.log: Error-level logscombined.log: All logs
In HTTP mode, logs are also output to the console.
Dependencies
Main dependencies:
- @modelcontextprotocol/sdk: ^1.13.0
- dotenv: ^16.4.5
- express: ^5.1.0
- mssql: ^11.0.1
- winston: ^3.11.0
Development dependencies:
- axios: ^1.10.0
License
MIT
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
相关服务器
Keboola MCP Server
An MCP server for interacting with the Keboola Connection data platform.
MemFlow MCP
Enables Large Language Models to store and retrieve persistent memories with intelligent search capabilities.
MemoryMesh
A knowledge graph server for AI models, focusing on text-based RPGs and interactive storytelling.
Local Context Memory MCP
A production-ready persistent memory system for AI agents, offering searchable memory across sessions with semantic search and support for multiple database backends.
mcp-database-server
Production-grade Model Context Protocol (MCP) server for unified SQL database access. Connect multiple databases through a single MCP server with schema discovery, relationship mapping, caching, and safety controls.
MCP Database Server
An MCP server that enables LLMs to interact with databases like MongoDB using natural language.
Octodet Elasticsearch MCP Server
An MCP server for interacting with Elasticsearch clusters, enabling LLM-powered applications to search, update, and manage data.
ClickHouse MCP Server
A Node.js server for querying ClickHouse databases.
Pylar
Build custom MCP tools on any datasource and ship them to any agent builder from one control plane—using only SQL and a secure link.
Tushare MCP
An intelligent stock data assistant providing financial data using the Tushare API.