Cover image
Try Now
2025-04-10

使用FastAPI,ODBC和PYODBC的简单MCP ODBC服务器。

3 years

Works with Finder

5

Github Watches

0

Github Forks

0

Github Stars


MCP Server ODBC via PyODBC

A lightweight MCP (Model Context Protocol) server for ODBC built with FastAPI and pyodbc. This server is compatible with Virtuoso DBMS and other DBMS backends that has ODBC driver.

mcp-client-and-servers|648x499


Features

  • Get Schemas: Fetch and list all schema names from the connected database.
  • Get Tables: Retrieve table information for specific schemas or all schemas.
  • Describe Table: Generate a detailed description of table structures, including:
    • Column names and data types
    • Nullable attributes
    • Primary and foreign keys
  • Search Tables: Filter and retrieve tables based on name substrings.
  • Execute Stored Procedures: In the case of Virtuoso, execute stored procedures and retrieve results.
  • Execute Queries:
    • JSONL result format: Optimized for structured responses.
    • Markdown table format: Ideal for reporting and visualization.

Prerequisites

  1. Install uv:

    pip install uv
    

    Or use Homebrew:

    brew install uv
    
  2. unixODBC Runtime Environment Checks:

  3. Check installation configuration (i.e., location of key INI files) by running: odbcinst -j

  4. List available data source names by running: odbcinst -q -s

  5. ODBC DSN Setup: Configure your ODBC Data Source Name (~/.odbc.ini) for the target database. Example for Virtuoso DBMS:

    [VOS]
    Description = OpenLink Virtuoso
    Driver = /path/to/virtodbcu_r.so
    Database = Demo
    Address = localhost:1111
    WideAsUTF16 = Yes
    

Installation

Clone this repository:

git clone https://github.com/OpenLinkSoftware/mcp-pyodbc-server.git
cd mcp-pyodbc-server

Environment Variables

Update your .envby overriding the defaults to match your preferences

ODBC_DSN=VOS
ODBC_USER=dba
ODBC_PASSWORD=dba
API_KEY=xxx

Configuration

For Claude Desktop users: Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "my_database": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-pyodbc-server", "run", "mcp-pyodbc-server"],
      "env": {
        "ODBC_DSN": "dsn_name",
        "ODBC_USER": "username",
        "ODBC_PASSWORD": "password",
        "API_KEY": "sk-xxx"
      }
    }
  }
}

Usage

Tools Provided

After successful installation, the following tools will be available to MCP client applications.

Overview

name description
podbc_get_schemas List database schemas accessible to connected database management system (DBMS).
podbc_get_tables List tables associated with a selected database schema.
podbc_describe_table Provide the description of a table associated with a designated database schema. This includes information about column names, data types, nulls handling, autoincrement, primary key, and foreign keys
podbc_filter_table_names List tables, based on a substring pattern from the q input field, associated with a selected database schema.
podbc_query_database Execute a SQL query and return results in JSONL format.
podbc_execute_query Execute a SQL query and return results in JSONL format.
podbc_execute_query_md Execute a SQL query and return results in Markdown table format.
podbc_spasql_query Execute a SPASQL query and return results.
podbc_sparql_query Execute a SPARQL query and return results.
podbc_virtuoso_support_ai Interact with the Virtuoso Support Assistant/Agent -- a Virtuoso-specific feature for interacting with LLMs

Detailed Description

  • podbc_get_schemas

    • Retrieve and return a list of all schema names from the connected database.
    • Input parameters:
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string array of schema names.
  • podbc_get_tables

    • Retrieve and return a list containing information about tables in a specified schema. If no schema is provided, uses the connection's default schema.
    • Input parameters:
      • schema (string, optional): Database schema to filter tables. Defaults to connection default.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string containing table information (e.g., TABLE_CAT, TABLE_SCHEM, TABLE_NAME, TABLE_TYPE).
  • podbc_filter_table_names

    • Filters and returns information about tables whose names contain a specific substring.
    • Input parameters:
      • q (string, required): The substring to search for within table names.
      • schema (string, optional): Database schema to filter tables. Defaults to connection default.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string containing information for matching tables.
  • podbc_describe_table

    • Retrieve and return detailed information about the columns of a specific table.
    • Input parameters:
      • schema (string, required): The database schema name containing the table.
      • table (string, required): The name of the table to describe.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string describing the table's columns (e.g., COLUMN_NAME, TYPE_NAME, COLUMN_SIZE, IS_NULLABLE).
  • podbc_query_database

    • Execute a standard SQL query and return the results in JSON format.
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a JSON string.
  • podbc_query_database_md

    • Execute a standard SQL query and return the results formatted as a Markdown table.
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a Markdown table string.
  • podbc_query_database_jsonl

    • Execute a standard SQL query and return the results in JSON Lines (JSONL) format (one JSON object per line).
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a JSONL string.
  • podbc_spasql_query

    • Execute a SPASQL (SQL/SPARQL hybrid) query return results. This is a Virtuoso-specific feature.
    • Input parameters:
      • query (string, required): The SPASQL query string.
      • max_rows (number, optional): Maximum number of rows to return. Defaults to 20.
      • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the underlying stored procedure call (e.g., Demo.demo.execute_spasql_query).
  • podbc_sparql_query

    • Execute a SPARQL query and return results. This is a Virtuoso-specific feature.
    • Input parameters:
      • query (string, required): The SPARQL query string.
      • format (string, optional): Desired result format. Defaults to 'json'.
      • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the underlying function call (e.g., "UB".dba."sparqlQuery").
  • podbc_virtuoso_support_ai

    • Utilizes a Virtuoso-specific AI Assistant function, passing a prompt and optional API key. This is a Virtuoso-specific feature.
    • Input parameters:
      • prompt (string, required): The prompt text for the AI function.
      • api_key (string, optional): API key for the AI service. Defaults to "none".
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the AI Support Assistant function call (e.g., DEMO.DBA.OAI_VIRTUOSO_SUPPORT_AI).

Troubleshooting

For easier troubleshooting:

  1. Install the MCP Inspector:

    npm install -g @modelcontextprotocol/inspector
    
  2. Start the inspector:

    npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-pyodbc-server run mcp-pyodbc-server
    

Access the provided URL to troubleshoot server interactions.

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • Lists Tailwind CSS classes in monospaced font

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • tomoyoshi hirata
  • Sony α7IIIマニュアルアシスタント

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • JackKuo666
  • 🔍使AI助手可以通过简单的MCP接口搜索和访问PYPI软件包信息。

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • av
  • 毫不费力地使用一个命令运行LLM后端,API,前端和服务。

    Reviews

    1 (1)
    Avatar
    user_NpOZEmd8
    2025-04-17

    As a dedicated user of the mcp-pyodbc-server by OpenLinkSoftware, I must say this product is indispensable for anyone working with ODBC connections in Python. Its seamless integration and robust performance make database interactions effortless. Highly recommended for developers looking for a reliable solution! Check it out at https://github.com/OpenLinkSoftware/mcp-pyodbc-server.