Power your agent
Instal dari penerbit. Bukan endpoint PlugMCP.
URL remote atau perintah di mesin Anda? Perbedaan kedua cara instal
Jalankan di PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BukaDari penerbit
Provides an LLM access to the Exasol database via MCP tools. Includes the tools for reading the database metadata and executing data reading queries.
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Exasol MCP server. Provides knowledge about the Exasol database to an LLM through the Model Context Protocol.
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Collects the metadata.
Executes provided SQL query.
The complete list of tools is formally described in the Tool List <https://exasol.github.io/mcp-server/main/user_guide/tool_list.html>_ section of the user guide.
Python <https://www.python.org/>__ >= 3.11Claude Desktop <https://claude.ai/download>__Ensure the uv package is installed. If uncertain call
.. code-block:: shell
uv --version
To install uv on macOS please use brew, i.e.
.. code-block:: shell
brew install uv
For other operating systems, please follow the instructions <https://docs.astral.sh/uv/getting-started/installation/>__
in the uv official documentation.
To enable the Claude Desktop using the Exasol MCP server, the latter must be listed in the configuration file claude_desktop_config.json. A similar configuration file would exist for most other MCP Client applications.
To find the Claude Desktop configuration file, click on the Settings and navigate to the “Developer” tab. This section contains options for configuring MCP servers and other developer features. Click the “Edit Config” button to open the configuration file in the editor of your choice.
Add the Exasol MCP server to the list of MCP servers as shown in this configuration example.
.. code-block:: json
{
"mcpServers": {
"exasol_db": {
"command": "uvx",
"args": ["exasol-mcp-server@latest"],
"env": {
"EXA_DSN": "my-dsn",
"EXA_USER": "my-user-name",
"EXA_PASSWORD": "my-password"
}
}
}
}
With these settings, uv will execute the latest version of the exasol-mcp-server
in an ephemeral environment, without installing it.
Alternatively, the exasol-mcp-server can be installed using the command:
.. code-block:: shell
uv tool install exasol-mcp-server@latest
For further details on installing and upgrading the server using uv see the
uv Tools <https://docs.astral.sh/uv/concepts/tools/>__ documentation.
If the server is installed, the Claude configuration file should look like this:
.. code-block:: json
{
"mcpServers": {
"exasol_db": {
"command": "exasol-mcp-server",
"env": "same as above"
}
}
}
Please note that any changes to the Claude configuration file will only take effect after restarting Claude Desktop.
The MCP server can be deployed either locally, as described above, or as a remote HTTP server. To run the server as a Direct HTTP Server execute the command:
.. code-block:: shell
exasol-mcp-server-http --host <server-host> --port <server-port>
The host defaults to 0.0.0.0.
This command provides a simple way to verify the setup for a remote MCP Server deployment.
For the production environment, one might consider using an ASGI server like Unicorn. The
most flexible approach is implementing a wrapper for the Exasol MCP server that will
provide the desired control options. For further information and ideas, please check the
HTTP Deployment <https://gofastmcp.com/deployment/http>__ in the FastMCP documentation.
Here is an example code creating the Exasol MCP server from a wrapper.
.. code-block:: python
from exasol.ai.mcp.server import mcp_server
exasol_mcp = mcp_server()
The server is configured using environment variables and optionally a json file. In the
above example, the server is provided with the database connection parameters, all other
settings left to default. For the information on how to customize server settings
please see the Server Setup <https://exasol.github.io/mcp-server/main/user_guide/server_setup.html>_
in the User Guide.
This project is licensed under the MIT License - see the LICENSE file for details.
Safe Harbor Statement: Exasol MCP Server & AI Solutions ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Exasol’s AI solutions (including MCP Server) are designed to enable intelligent, autonomous, and highly performant access to data through AI and LLM-powered agents. While these technologies unlock powerful new capabilities, they also introduce potentially significant risks.
By granting AI agents access to your database, you acknowledge that the behavior of large language models (LLMs) and autonomous agents cannot be fully predicted or controlled. These systems may exhibit unintended or unsafe behavior—including but not limited to hallucinations, susceptibility to adversarial prompts, and the execution of unforeseen actions. Such behavior may result in data leakage, unauthorized data generation, or even data modification or deletion.
Exasol provides the tools to build AI-native workflows; however, you, as the implementer and system owner, assume full responsibility for managing these solutions within your environment. This includes establishing appropriate governance, authorization controls, sandboxing mechanisms, and operational guardrails to mitigate risks to your organization, your customers, and their data.
For further details, check out the latest documentation <https://exasol.github.io/mcp-server/>_.
Exasol MCP server. Provides knowledge about the Exasol database to an LLM through the Model Context Protocol.
Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Tidak ada variabel lingkungan wajib yang tercantum di catatan ini.
Exasol berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-11-12. Exasol MCP server. Provides knowledge about the Exasol database to an LLM through the Model Context Protocol.