Allows interaction with WhatsApp contacts through Claude, leveraging AI capabilities in WhatsApp conversations by connecting to a database backend via ODBC.
OpenLink MCP Server for 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 any other DBMS backend that has an ODBC driver.

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: When connected to Virtuoso, execute stored procedures and retrieve results.
Execute Queries:
JSONL result format: Optimized for structured responses.
Markdown table format: Ideal for reporting and visualization.
Related MCP server: Multi Database MCP Server
Prerequisites
Install uv:
pip install uvOr use Homebrew:
brew install uvunixODBC Runtime Environment Checks:
Check installation configuration (i.e., location of key INI files) by running:
odbcinst -jList available data source names by running:
odbcinst -q -sODBC DSN Setup: Configure your ODBC Data Source Name (typically in
~/.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:
Environment Variables
Update your .env by overriding the defaults to match your preferences.
Configuration
For Claude Desktop users:
Add the following to claude_desktop_config.json:
Usage
Tools Provided
After successful installation, the following tools will be available to MCP client applications.
Overview
name | description |
| List database schemas accessible to connected database management system (DBMS). |
| List tables associated with a selected database schema. |
| Provide the description of a table associated with a designated database schema. This includes information about column names, data types, null handling, autoincrement, primary keys, and foreign keys |
| List tables, based on a substring pattern from the |
| Execute a SQL query and return results in JSONL format. |
| Execute a SQL query and return results in JSONL format. |
| Execute a SQL query and return results in Markdown table format. |
| Execute a SPASQL query and return results. |
| Interact with the Virtuoso Support Assistant/Agent -- a Virtuoso-specific feature for interacting with LLMs |
Detailed Description
podbc_get_schemasRetrieve 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_tablesRetrieve and return a list containing information about tables in a specified schema. If no schema is provided, it 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_namesFilters 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_tableRetrieve 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_databaseExecute 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_mdExecute 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_jsonlExecute 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_queryExecute 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 to20.timeout(number, optional): Query timeout in milliseconds. Defaults to30000.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_virtuoso_support_aiUtilizes 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:
Install the MCP Inspector:
npm install -g @modelcontextprotocol/inspectorStart the inspector:
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-pyodbc-server run mcp-pyodbc-server
Access the provided URL to troubleshoot server interactions.