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alibabacloud-devops-mcp-server
Advanced tools
MCP Server for using the alibabacloud-devops API: allows AI assistants to directly participate in development collaboration, helping teams optimize development processes and improve efficiency.
English | 中文
AlibabaCloud Devops MCP Server provides AI assistants with the ability to interact with the Yunxiao platform, enabling them to read work item contents in projects, automatically write code after understanding requirements, and submit code merge requests. Enterprise development teams can use it to assist with code reviews, optimize task management, reduce repetitive operations, and thus focus on more important innovation and product delivery.
alibabacloud-devops-mcp-server provides the following capabilities for AI assistants:
alibabacloud-devops-mcp-server integrates various tools, including:
get_current_organization_Info
: Get current user's organization informationget_user_organizations
: Get the list of organizations the current user has joinedget_organization_role
: Get information about an organization roleget_organization_departments
: Get the list of departments in an organizationget_organization_department_info
: Get information about a department in an organizationget_organization_department_ancestors
: Get the ancestors of a department in an organizationget_organization_members
: Get the list of members in an organizationget_organization_member_info
: Get information about a member in an organizationget_organization_member_info_by_user_id
: Get information about a member in an organization by user IDsearch_organization_members
: Search for organization memberslist_organization_roles
: List organization rolesget_organization_role
: Get information about an organization rolecreate_branch
: Create a branchdelete_branch
: Delete a branchget_branch
: Get branch informationlist_branches
: Get branch listcreate_file
: Create a filedelete_file
: Delete a fileget_file_blobs
: Get file contentlist_files
: Query file treeupdate_file
: Update file contentcreate_change_request
: Create a merge requestcreate_change_request_comment
: Create a comment on a merge requestget_change_request
: Query merge requestlist_change_request_patch_sets
: Query merge request version listlist_change_request
: Query merge request listlist_change_request_comments
: Query merge request comment listget_compare
: Compare codeget_repository
: Get repository detailslist_repositories
: Get repository listget_project
: Get project detailssearch_projects
: Search projectsget_work_item
: Get work item detailssearch_workitems
: Search work itemsget_work_item_types
: get work item typescreate_work_item
: create work itemlist_all_work_item_types
: List all work item types in an organizationlist_work_item_types
: List work item types in a project spaceget_work_item_type
: Get details of a specific work item typelist_work_item_relation_work_item_types
: List work item types that can be related to a specific work itemget_work_item_type_field_config
: Get field configuration for a specific work item typeget_work_item_workflow
: Get workflow information for a specific work item typelist_work_item_comments
: List comments for a specific work itemcreate_work_item_comment
: Create a comment for a specific work itemget_pipeline
: Get pipeline detailslist_pipelines
: Get pipeline listsmart_list_pipelines
: Smart pipeline search with natural language time referencescreate_pipeline_run
: Create a pipeline run instanceget_latest_pipeline_run
: Get the latest pipeline run instanceget_pipeline_run
: Get pipeline run detailslist_pipeline_runs
: Get pipeline run listlist_pipeline_jobs_by_category
: Get pipeline execution tasks by categorylist_pipeline_job_historys
: Get the execution history of a pipeline taskexecute_pipeline_job_run
: Manually run a pipeline taskget_pipeline_job_run_log
: Get the execution logs of a pipeline joblist_service_connections
: List service connections in organizationcreate_pipeline_from_description
: Automatically generates YAML configuration and creates pipelineupdate_pipeline
: Update an existing pipeline in Yunxiao by pipelineId. Use this to update pipeline YAML, stages, jobs, etc.list_package_repositories
: Get package repositories details listlist_artifacts
: Get artifacts details listget_artifact
: Get single artifact detailsnode version >= 18.0.0
AlibabaCloud Devops Personal Access Token, click here to obtain. Grant read and write permissions to all APIs under organization management, project collaboration, code management, pipeline management, artifact repository management, application delivery and testing management.
To install AlibabaCloud DevOps Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @aliyun/alibabacloud-devops-mcp-server --client claude
The MCP market built into Lingma (AlibabaCloud Tongyi Lingma) has already provided the AlibabaCloud Devops MCP service. To install it, simply enter the MCP market in Lingma and search for "Yunxiao DevOps", then click install.
{
"mcpServers": {
"yunxiao": {
"command": "npx",
"args": [
"-y",
"alibabacloud-devops-mcp-server"
],
"env": {
"YUNXIAO_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
docker build -t alibabacloud/alibabacloud-devops-mcp-server .
{
"mcpServers": {
"yunxiao": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"YUNXIAO_ACCESS_TOKEN",
"alibabacloud/alibabacloud-devops-mcp-server"
],
"env": {
"YUNXIAO_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
If you have any questions, please join the Alibaba Cloud Devops discussion group (134400004101) for discussion.
FAQs
MCP Server for using the alibabacloud-devops API: allows AI assistants to directly participate in development collaboration, helping teams optimize development processes and improve efficiency.
The npm package alibabacloud-devops-mcp-server receives a total of 335 weekly downloads. As such, alibabacloud-devops-mcp-server popularity was classified as not popular.
We found that alibabacloud-devops-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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