A simple MCP ODBC server using FastAPI, ODBC and PyODBC.
What is OpenLinkSoftware mcp pyodbc server
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
-
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 (
~/.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 .env
by 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:
-
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.
*
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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