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PlugMCP에서 실행
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.
실행게시자 제공
CData's Model Context Protocol (MCP) Server for Azure DevOps
:heavy_exclamation_mark: This project builds a local, read-only MCP server. For fully remote MCP access, check out the first managed MCP platform: CData Connect AI. For locally hosted, full read, write, update, delete, and action capabilities and a simplified setup, check out our .
This read-only MCP Server allows you to connect to Azure DevOps data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Azure DevOps supported by the CData JDBC Driver for Azure DevOps.
CData JDBC Driver connects to Azure DevOps by exposing them as relational SQL models.
This server wraps that driver and makes Azure DevOps data available through a simple MCP interface, so LLMs can retrieve live information by asking natural language questions — no SQL required.
git clone https://github.com/cdatasoftware/azure-devops-mcp-server-by-cdata.git
cd azure-devops-mcp-server-by-cdata
mvn clean install
lib folder in the installation directory, typically:
C:\Program Files\CData\CData JDBC Driver for Azure DevOps\/Applications/CData JDBC Driver for Azure DevOps/java -jar cdata.jdbc.azuredevops.jar --licenseRun the command java -jar cdata.jdbc.azuredevops.jar to open the Connection String utility.
Configure the connection string and click "Test Connection"
Note: If the data sources uses OAuth, you will need to authenticate in your browser.
Once successful, copy the connection string for use later.
.prp file for your JDBC connection (e.g. azure-devops.prp) using the following properties and format:
Prefix=azuredevops
ServerName=CDataAzureDevOps
ServerVersion=1.0
DriverPath=PATH\TO\cdata.jdbc.azuredevops.jar
DriverClass=cdata.jdbc.azuredevops.AzureDevOpsDriver
JdbcUrl=jdbc:azuredevops:InitiateOAuth=GETANDREFRESH;
Tables=
Create the config file for Claude Desktop ( claude_desktop_config.json) to add the new MCP server, using the format below. If the file already exists, add the entry to the mcpServers in the config file.
Windows
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\azure-devops.prp"
]
},
...
}
}
Linux/Mac
{
"mcpServers": {
"{classname_dash}": {
"command": "/PATH/TO/java",
"args": [
"-jar",
"/PATH/TO/CDataMCP-jar-with-dependencies.jar",
"/PATH/TO/azure-devops.prp"
]
},
...
}
}
If needed, copy the config file to the appropriate directory (Claude Desktop as the example). Windows
cp C:\PATH\TO\claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json
Linux/Mac
cp /PATH/TO/claude_desktop_config.json /Users/{user}/Library/Application\ Support/Claude/claude_desktop_config.json'
Run or refresh your client (Claude Desktop).
Note: You may need to fully exit or quit your Claude Desktop client and re-open it for the MCP Servers to appear.
java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp
Note: The server uses
stdioso can only be used with clients that run on the same machine as the server.
Once the MCP Server is configured, the AI client will be able to use the built-in tools to read, write, update, and delete the underlying data. In general, you do not need to call the tools explicitly. Simply ask the client to answer questions about the underlying data system. For example:
The list of tools available and their descriptions follow:
In the definitions below, {servername} refers to the name of the MCP Server in the config file (e.g. {classname_dash} above).
{servername}_get_tables - Retrieves a list of tables available in the data source. Use the {servername}_get_columns tool to list available columns on a table. The output of the tool will be returned in CSV format, with the first line containing column headers.{servername}_get_columns - Retrieves a list of columns for a table. Use the {servername}_get_tables tool to get a list of available tables. The output of the tool will be returned in CSV format, with the first line containing column headers.{servername}_run_query - Execute a SQL SELECT queryIf you are scripting out the requests sent to the MCP Server instead of using an AI Client (e.g. Claude), then you can refer to the JSON payload examples below – following the JSON-RPC 2.0 specification - when calling the available tools.
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "azure_devops_get_tables",
"arguments": {}
}
}
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "azure_devops_get_columns",
"arguments": {
"table": "Account"
}
}
}
{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "azure_devops_run_query",
"arguments": {
"sql": "SELECT * FROM [Account] WHERE [IsDeleted] = true"
}
}
}
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
This read-only MCP Server allows you to connect to Azure DevOps data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (
개요
This read-only MCP Server allows you to connect to Azure DevOps data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Azure Devops MCP Server By Cdata은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-10-28. This read-only MCP Server allows you to connect to Azure DevOps data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
