How do I configure database credentials?

Set environment variables like ODBC_DSN, ODBC_USER, and ODBC_PASSWORD or provide them as parameters in API calls.

Which query formats are supported?

SQL queries returning JSON Lines or Markdown, as well as SPARQL and SPASQL queries.

Is this server specific to any database?

No, it is generic but examples focus on Virtuoso; contributions for other DBMS are encouraged.

What Node.js version is required?

Node.js version 21.1.0 or higher is required.

MCP Server Odbc

An MCP server enabling access to ODBC-compliant databases via configurable DSNs for querying and schema inspection.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "openlink-mcp-server-odbc": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server provides Large Language Models with transparent access to any database accessible through the ODBC protocol by routing requests via a local ODBC Driver Manager. It supports querying, schema discovery, and table description for databases configured with ODBC Data Source Names. Use this server when you need to integrate MCP clients with diverse DBMSs that expose ODBC drivers.

Use cases

Query ODBC-accessible databases using SQL or SPARQL

Retrieve database schemas and table metadata dynamically

Filter tables by name patterns within a schema

Describe table columns including keys and data types

Integrate LLMs with ODBC data sources for AI-assisted querying

Key features

Execute SQL, SPARQL, and SPASQL queries returning JSONL or Markdown

List database schemas and tables with optional filtering

Describe table structure with column details and keys

Configure connections via environment variables for DSN, user, and password

Built on node-odbc with TypeScript for cross-platform ODBC support

Capabilities & Tool Schemas (10)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Odbc.

get_schemas

List database schemas accessible to connected database management system (DBMS).

get_tables

List tables associated with a selected database schema.

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 key, and foreign keys

filter_table_names

List tables associated with a selected database schema, based on a substring pattern from the `q` input field.

query_database

Execute a SQL query and return results in JSON Lines (JSONL) format.

execute_query

Execute a SQL query and return results in JSON Lines (JSONL) format.

Documentation Overview

OpenLink MCP Server for ODBC

This document covers the set up and use of a generic ODBC server for the Model Context Protocol (MCP), referred to as an mcp-odbc server. It has been developed to provide Large Language Models with transparent access to ODBC-accessible data sources via a Data Source Name configured for a specific ODBC Connector (also called an ODBC Driver).

mcp-client-and-servers|648x499

Server Implementation

This MCP Server for ODBC is a small TypeScript layer built on top of node-odbc. It routes calls to the host system's local ODBC Driver Manager via node.js (specifically using npx for TypeScript).

Operating Environment Set Up & Prerequisites

While the examples that follow are oriented toward the Virtuoso ODBC Connector, this guide will also work with other ODBC Connectors. We strongly encourage code contributions and submissions of usage demos related to other database management systems (DBMS) for incorporation into this project.

Key System Components

Check the node.js version. If it's not 21.1.0 or higher, upgrade or install explicitly using:
sh
```
nvm install v21.1.0
```

Install MCP components using:

Terminal

npm install @modelcontextprotocol/sdk zod tsx odbc dotenv

Set the nvm version using:
sh
```
nvm alias default 21.1.0
```

Installation

Run

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

Change directory
sh
```
cd mcp-odbc-server
```
Run
Terminal
```
npm init -y
```

Run

Terminal

npm install @modelcontextprotocol/sdk zod tsx odbc dotenv

unixODBC Runtime Environment Checks

Check installation configuration (i.e., location of key INI files) by running:
sh
```
odbcinst -j
```
List available data source names (DSNs) by running:
sh
```
odbcinst -q -s
```

Environment Variables

As good security practice, you should use the .env file situated in the same directory as the mcp-ser to set bindings for the ODBC Data Source Name (ODBC_DSN), the User (ODBC_USER), the Password (ODBC_PWD), the ODBC INI (ODBCINI), and, if you want to use the OpenLink AI Layer (OPAL) via ODBC, the target Large Language Model (LLM) API Key (API_KEY).

API_KEY=sk-xxx
ODBC_DSN=Local Virtuoso
ODBC_USER=dba
ODBC_PASSWORD=dba
ODBCINI=/Library/ODBC/odbc.ini

Usage

Tools

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

Overview

name	description
`get_schemas`	List database schemas accessible to connected database management system (DBMS).
`get_tables`	List tables associated with a selected database schema.
`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 key, and foreign keys
`filter_table_names`	List tables associated with a selected database schema, based on a substring pattern from the `q` input field.
`query_database`	Execute a SQL query and return results in JSON Lines (JSONL) format.
`execute_query`	Execute a SQL query and return results in JSON Lines (JSONL) format.
`execute_query_md`	Execute a SQL query and return results in Markdown table format.
`spasql_query`	Execute a SPASQL query and return results.
`sparql_query`	Execute a SPARQL query and return results.
`virtuoso_support_ai`	Interact with the Virtuoso Support Assistant/Agent — a Virtuoso-specific feature for interacting with LLMs

Detailed Description

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.
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).
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.
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).
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.
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.
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.
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, i.e., 30 seconds.
  - 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).
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, i.e., 30 seconds.
  - 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").
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).

Basic Installation Testing & Troubleshooting

MCP Inspector Tool

Canonical MCP Inspector Tool Edition

Read the full README →View source on GitHub →

Related MCP Servers

View all in Databases View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

1.1M

Package downloads in the last 30 days.

Last commit

1y ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Server Odbc

Any database with an ODBC driver and configured Data Source Name (DSN) on the host system.

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Technical Specs & Signals

CategoryDatabases

10/11 checks healthy over the last 32d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership6/20

Documentation & tools26/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

2 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage — this is a directional signal, not a security audit.

Critical 1High 1Medium 0Low 0

Scanned 26d ago via OSV.dev · @modelcontextprotocol/inspector (npm)

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More in 🗄️ Databases →Best MCP servers for Databases →Alternatives to MCP Server Odbc →Install in Claude Desktop Install in Cursor Install in VS Code

MCP Server Odbc

An MCP server enabling access to ODBC-compliant databases via configurable DSNs for querying and schema inspection.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "openlink-mcp-server-odbc": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Query ODBC-accessible databases using SQL or SPARQL

Retrieve database schemas and table metadata dynamically

Filter tables by name patterns within a schema

Describe table columns including keys and data types

Integrate LLMs with ODBC data sources for AI-assisted querying

Key features

Execute SQL, SPARQL, and SPASQL queries returning JSONL or Markdown

List database schemas and tables with optional filtering

Describe table structure with column details and keys

Configure connections via environment variables for DSN, user, and password

Built on node-odbc with TypeScript for cross-platform ODBC support

Capabilities & Tool Schemas (10)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Odbc.

get_schemas

List database schemas accessible to connected database management system (DBMS).

get_tables

List tables associated with a selected database schema.

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 key, and foreign keys

filter_table_names

List tables associated with a selected database schema, based on a substring pattern from the `q` input field.

query_database

Execute a SQL query and return results in JSON Lines (JSONL) format.

execute_query

Execute a SQL query and return results in JSON Lines (JSONL) format.

Documentation Overview

OpenLink MCP Server for ODBC

mcp-client-and-servers|648x499

Server Implementation

Operating Environment Set Up & Prerequisites

Key System Components

Check the node.js version. If it's not 21.1.0 or higher, upgrade or install explicitly using:
sh
```
nvm install v21.1.0
```

Install MCP components using:

Terminal

npm install @modelcontextprotocol/sdk zod tsx odbc dotenv

Set the nvm version using:
sh
```
nvm alias default 21.1.0
```

Installation

Run

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

Change directory
sh
```
cd mcp-odbc-server
```
Run
Terminal
```
npm init -y
```

Run

Terminal

npm install @modelcontextprotocol/sdk zod tsx odbc dotenv

unixODBC Runtime Environment Checks

Check installation configuration (i.e., location of key INI files) by running:
sh
```
odbcinst -j
```
List available data source names (DSNs) by running:
sh
```
odbcinst -q -s
```

Environment Variables

API_KEY=sk-xxx
ODBC_DSN=Local Virtuoso
ODBC_USER=dba
ODBC_PASSWORD=dba
ODBCINI=/Library/ODBC/odbc.ini

Usage

Tools

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

Overview

name	description
`get_schemas`	List database schemas accessible to connected database management system (DBMS).
`get_tables`	List tables associated with a selected database schema.
`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 key, and foreign keys
`filter_table_names`	List tables associated with a selected database schema, based on a substring pattern from the `q` input field.
`query_database`	Execute a SQL query and return results in JSON Lines (JSONL) format.
`execute_query`	Execute a SQL query and return results in JSON Lines (JSONL) format.
`execute_query_md`	Execute a SQL query and return results in Markdown table format.
`spasql_query`	Execute a SPASQL query and return results.
`sparql_query`	Execute a SPARQL query and return results.
`virtuoso_support_ai`	Interact with the Virtuoso Support Assistant/Agent — a Virtuoso-specific feature for interacting with LLMs

Detailed Description

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.
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).
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.
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).
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.
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.
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.
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, i.e., 30 seconds.
  - 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).
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, i.e., 30 seconds.
  - 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").
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).

Basic Installation Testing & Troubleshooting

MCP Inspector Tool

Canonical MCP Inspector Tool Edition

Read the full README →View source on GitHub →

Related MCP Servers

View all in Databases View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

1.1M

Package downloads in the last 30 days.

Last commit

1y ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Server Odbc

Any database with an ODBC driver and configured Data Source Name (DSN) on the host system.

AllMCPs Directory Badge

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Technical Specs & Signals

CategoryDatabases

10/11 checks healthy over the last 32d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership6/20

Documentation & tools26/30

Adoption & activity5/15

Community engagement0/10

Supply-chain signal

Critical 1High 1Medium 0Low 0

Scanned 26d ago via OSV.dev · @modelcontextprotocol/inspector (npm)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 🗄️ Databases →Best MCP servers for Databases →Alternatives to MCP Server Odbc →Install in Claude Desktop Install in Cursor Install in VS Code