
daobataotie/mssql-mcp 是从 https://github.com/daobataotie/mssql-mcp. 导入的 MCP 服务器候选
概览
daobataotie/mssql-mcp 是从 https://github.com/daobataotie/mssql-mcp. 导入的 MCP 服务器候选
概述(AI 翻译)
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概述
MSSQL MCP 服务器提供数据库交互和商业智能功能。该服务器支持运行 SQL 查询、分析业务数据并自动生成业务洞察备忘录。 请参阅官方网站的SQLite以获取修改以适应MSSQL。
基于官方 MCP Python SDK(FastMCP),支持 MCP 2025-06-18 规范:结构化工具输出([structuredContent)、工具注释、资源模板和基于引发的写入确认。
亮点:
- 多数据库 — 将开发/临时/生产连接挂载到一台服务器;每个工具都采用可选的
database参数,每个连接都有自己的readonly/query_timeout/max_rows/confirm_writes设置 - 存储过程——列出签名并执行过程,并实现完整的多结果集采集
- 资源模板 —
schema://{database}/{schema}/{table}按需服务表结构,无需每回合烧毁工具模式令牌 - 安全栏杆 — SQL 白名单、只读模式、行限制、查询超时、写入前可选的触发确认
组成部分
read_query
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
MSSQL MCP Server
Overview
MSSQL MCP Server, provides database interaction and business intelligence capabilities. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
Refer to the official website’s SQLite for modifications to adapt to MSSQL.
Built on the official MCP Python SDK (FastMCP), supporting the MCP 2025-06-18 specification: structured tool output (structuredContent), tool annotations, resource templates, and elicitation-based write confirmation.
Highlights:
- Multi-database — mount dev/staging/prod connections in one server; every tool takes an optional
databaseparameter, each connection with its ownreadonly/query_timeout/max_rows/confirm_writessettings - Stored procedures — list signatures and execute procedures with full multi-result-set harvesting
- Resource templates —
schema://{database}/{schema}/{table}serves table structures on demand without burning tool-schema tokens every turn - Safety guardrails — SQL whitelisting, read-only mode, row limits, query timeouts, optional elicitation confirmation before writes
Components
read_query- Execute SELECT / WITH queries with structured output (columns / rows / row_count / truncated), limited by
max_rows
- Execute SELECT / WITH queries with structured output (columns / rows / row_count / truncated), limited by
write_query- Execute INSERT, UPDATE, DELETE or MERGE queries, returns affected row count
create_table- Create new tables in the database
list_tables- Get a list of all tables in the database (schema + table name)
list_views- Get a list of all views in the database
describe_table- View full schema for a specific table (type, nullable, default, primary key, identity, foreign keys, indexes)
list_databases- List configured database connections (name, readonly, is_default)
list_procedures- List stored procedures with parameter signatures
execute_procedure- Execute a stored procedure (supports multiple result sets)
append_insight- Add new business insights to the memo resource
Resources
memo://insights— a living business-insights memo, updated in real time viaappend_insightschema://{schema}/{table}— table structure of the default database (JSON: columns / PK / identity / FKs / indexes)schema://{database}/{schema}/{table}— table structure of a named database connection
Resource templates are fetched on demand: unlike tool schemas they are not resent to the LLM every turn, which keeps long conversations lean.
Security
All SQL goes through static validation before execution:
read_queryonly accepts a single SELECT / WITH statement and rejects any write or EXEC keyword (blocks e.g.WITH c AS (...) DELETE FROM t)write_queryuses a whitelist (INSERT / UPDATE / DELETE / MERGE only);EXEC,DROP,TRUNCATE,ALTERare rejected- Multi-statement batches (separated by
;) are rejected
安装
npx -y @modelcontextprotocol/inspector python C:\\mssql-mcp\\src\\server.py配置
# add to claude_desktop_config.json. Note:use your path
{
"mcpServers": {
"mssql": {
"command": "python",
"args": [
# your path,e.g.:"C:\\mssql-mcp\\src\\server.py"
"~/server.py"
]
}
}
}