Azure DevOps

84 tools. 29 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated:

29 can modify or destroy data
55 read-only
84 tools total

29 Azure DevOps tools can modify or destroy data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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Read (55) Write / Execute (28) Destructive / Financial (1)

Destructive tools (mcp_ado_wit_work_item_unlink) permanently delete resources. There is no undo. An agent calling these in a retry loop causes irreversible damage.

Write operations (mcp_ado_pipelines_create_pipeline, mcp_ado_repo_create_branch, mcp_ado_repo_create_pull_request) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.

Execute tools (mcp_ado_pipelines_run_pipeline, mcp_ado_pipelines_update_build_stage) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.

Deny destructive operations
{
  "mcp_ado_wit_work_item_unlink": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "mcp_ado_pipelines_create_pipeline": {
    "limits": [
      {
        "counter": "mcp_ado_pipelines_create_pipeline_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "mcp_ado_advsec_get_alert_details": {
    "limits": [
      {
        "counter": "mcp_ado_advsec_get_alert_details_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Get this policy live on your own Azure DevOps server in minutes. Tune the limits to your setup; PolicyLayer enforces it on every call.

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READ 55 tools
Read mcp_ado_advsec_get_alert_details Read mcp_ado_advsec_get_alerts Read mcp_ado_core_get_identity_ids Read mcp_ado_core_list_project_teams Read mcp_ado_core_list_projects Read mcp_ado_pipelines_download_artifact Read mcp_ado_pipelines_get_build_changes Read mcp_ado_pipelines_get_build_definition_revisions Read mcp_ado_pipelines_get_build_definitions Read mcp_ado_pipelines_get_build_log Read mcp_ado_pipelines_get_build_log_by_id Read mcp_ado_pipelines_get_build_status Read mcp_ado_pipelines_get_builds Read mcp_ado_pipelines_get_run Read mcp_ado_pipelines_list_artifacts Read mcp_ado_pipelines_list_runs Read mcp_ado_repo_get_branch_by_name Read mcp_ado_repo_get_pull_request_by_id Read mcp_ado_repo_get_repo_by_name_or_id Read mcp_ado_repo_list_branches_by_repo Read mcp_ado_repo_list_directory Read mcp_ado_repo_list_my_branches_by_repo Read mcp_ado_repo_list_pull_request_thread_comments Read mcp_ado_repo_list_pull_request_threads Read mcp_ado_repo_list_pull_requests_by_commits Read mcp_ado_repo_list_pull_requests_by_repo_or_project Read mcp_ado_repo_list_repos_by_project Read mcp_ado_repo_search_commits Read mcp_ado_search_code Read mcp_ado_search_wiki Read mcp_ado_search_workitem Read mcp_ado_testplan_list_test_cases Read mcp_ado_testplan_list_test_plans Read mcp_ado_testplan_list_test_suites Read mcp_ado_testplan_show_test_results_from_build_id Read mcp_ado_wiki_get_page Read mcp_ado_wiki_get_page_content Read mcp_ado_wiki_get_wiki Read mcp_ado_wiki_list_pages Read mcp_ado_wiki_list_wikis Read mcp_ado_wit_get_query Read mcp_ado_wit_get_query_results_by_id Read mcp_ado_wit_get_work_item Read mcp_ado_wit_get_work_item_type Read mcp_ado_wit_get_work_items_batch_by_ids Read mcp_ado_wit_get_work_items_for_iteration Read mcp_ado_wit_list_backlog_work_items Read mcp_ado_wit_list_backlogs Read mcp_ado_wit_list_work_item_comments Read mcp_ado_wit_list_work_item_revisions Read mcp_ado_wit_my_work_items Read mcp_ado_work_get_iteration_capacities Read mcp_ado_work_get_team_capacity Read mcp_ado_work_list_iterations Read mcp_ado_work_list_team_iterations
Can an AI agent delete data through the Azure DevOps MCP server? +

Yes. The Azure DevOps server exposes 1 destructive tools including mcp_ado_wit_work_item_unlink. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through Azure DevOps? +

The Azure DevOps server has 26 write tools including mcp_ado_pipelines_create_pipeline, mcp_ado_repo_create_branch, mcp_ado_repo_create_pull_request. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Azure DevOps.

How many tools does the Azure DevOps MCP server expose? +

84 tools across 4 categories: Destructive, Execute, Read, Write. 55 are read-only. 29 can modify, create, or delete data.

How do I enforce a policy on Azure DevOps? +

Register the Azure DevOps MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Other MCP servers with similar tools.

Starter policies for each. Same risk classification, live on your fleet in minutes.

Enforce policy on every Azure DevOps tool call.

Deterministic rules across all 84 Azure DevOps tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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