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create_project

Create a new project in Linear

SERVERLinear SOURCE@linear-mcp-server
Medium RISK CLASS
Category Write
Parameters 80 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity verified Pull the record →

This record as markdown: /tools/linear/create-project.md

What create_project does on Linear

AI agents use create_project to create or update resources in Linear, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linear environment.

ParameterTypeRequiredDescription
name string A descriptive name of the project
leadId string The UUID of the user to set as project lead
teamId string The UUID of the team to associate the project with
summary string A concise plaintext summary of the project (max 255 chars)
labelIds array Array of label UUIDs to set on the project
startDate string The start date of the project in ISO format
targetDate string The target date of the project in ISO format
description string The full project description in Markdown format

Parameters from the server's own tool schema.

Why create_project is rated Medium

This tool creates new data (a project) in Linear, which is a reversible write operation. It does not execute arbitrary code, delete data permanently, or involve financial transactions. The severity is medium because creating projects could clutter the workspace or affect team organization, but the impact is limited in scope and can be remedied by deleting the project.

From the tool's definition Tool name is 'create_project' and description states 'Create a new project in Linear', which is a create operation that modifies the state of the Linear workspace by adding a new project.

Questions about create_project

What does the create_project tool do? +

Create a new project in Linear. It is categorised as a Write tool in the Linear MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_project accept? +

create_project accepts 8 parameters: name, leadId, teamId, summary, labelIds, startDate, targetDate, description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_project? +

Register the Linear MCP server in PolicyLayer and add a rule for create_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 Linear. Nothing to install.

What risk level is create_project? +

create_project is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_project? +

Yes. Add a rate_limit block to the create_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 create_project completely? +

Set action: deny in the PolicyLayer policy for create_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 create_project? +

create_project is provided by the Linear MCP server (@linear-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Linear, and thousands of servers like it.

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PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Linear's. Pull the full record:

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