pipedrive_delete_project

Delete a project. Requires PIPEDRIVE_MODE=full (back-compat: PIPEDRIVE_ENABLE_DESTRUCTIVE=true). (Requires the Projects add-on; Projects API is in public beta.)

SERVERPipedrive MCP Server SOURCEckalima/pipedrive-mcp-server

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ckalima-pipedrive-mcp-server/pipedrive-delete-project.md

WHAT IT DOES

What pipedrive_delete_project does on Pipedrive MCP Server

AI agents call pipedrive_delete_project to permanently remove resources in Pipedrive MCP Server, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why pipedrive_delete_project is rated Critical

The tool permanently deletes project data from Pipedrive CRM, which is irreversible. The requirement for a PIPEDRIVE_MODE=full flag and explicit mention of PIPEDRIVE_ENABLE_DESTRUCTIVE=true confirms this is a destructive operation. While the blast radius is somewhat limited to project-level data rather than account-wide, deletion is permanent and cannot be undone.

From the tool's definition Tool name: pipedrive_delete_project. Description states: 'Delete a project' and requires PIPEDRIVE_MODE=full (back-compat: PIPEDRIVE_ENABLE_DESTRUCTIVE=true), explicitly indicating destructive capability.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipedrive_delete_project safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pipedrive MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pipedrive_delete_project, this is the rule to start with:

pipedrive_delete_project Hidden

pipedrive_delete_project is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "pipedrive_delete_project"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pipedrive MCP Server, apply this rule, and every pipedrive_delete_project call is checked against it from then on.

FAQ

Questions about pipedrive_delete_project

What does the pipedrive_delete_project tool do? +

Delete a project. Requires PIPEDRIVE_MODE=full (back-compat: PIPEDRIVE_ENABLE_DESTRUCTIVE=true). (Requires the Projects add-on; Projects API is in public beta.). It is categorised as a Destructive tool in the Pipedrive MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on pipedrive_delete_project? +

Register the Pipedrive MCP Server MCP server in PolicyLayer and add a rule for pipedrive_delete_project: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Pipedrive MCP Server. Nothing to install.

What risk level is pipedrive_delete_project? +

pipedrive_delete_project is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit pipedrive_delete_project? +

Yes. Add a rate_limit block to the pipedrive_delete_project rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block pipedrive_delete_project completely? +

Set action: deny in the PolicyLayer policy for pipedrive_delete_project. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides pipedrive_delete_project? +

pipedrive_delete_project is provided by the Pipedrive MCP Server MCP server (ckalima/pipedrive-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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