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.
- 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.
-
Install uv:
pip install uv
Or use Homebrew:
brew install uv
-
unixODBC Runtime Environment Checks:
-
Check installation configuration (i.e., location of key INI files) by running:
odbcinst -j -
List available data source names by running:
odbcinst -q -s -
ODBC 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
Clone this repository:
git clone https://github.com/OpenLinkSoftware/mcp-pyodbc-server.git
cd mcp-pyodbc-serverUpdate your .env by overriding the defaults to match your preferences.
ODBC_DSN=VOS
ODBC_USER=dba
ODBC_PASSWORD=dba
API_KEY=xxx
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"
}
}
}
}After successful installation, the following tools will be available to MCP client applications.
| 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, null handling, autoincrement, primary keys, 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_virtuoso_support_ai |
Interact with the Virtuoso Support Assistant/Agent -- a Virtuoso-specific feature for interacting with LLMs |
-
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, 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_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 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_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).
For easier troubleshooting:
-
Install the MCP Inspector:
npm install -g @modelcontextprotocol/inspector
-
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.
