New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

contentful_list_content_types

List Contentful content types (the content model).

SERVERUnClick SOURCE@unclick/mcp-server
Low RISK CLASS
Category Read
Parameters 31 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/contentful-list-content-types.md

What contentful_list_content_types does on UnClick

AI agents call contentful_list_content_types to retrieve information from UnClick without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
space_id string Contentful space id (can be a saved default)
environment string Environment (default master)
access_token string Yes Contentful Content Delivery API token

Parameters from the server's own tool schema.

Why contentful_list_content_types is rated Low

This tool retrieves metadata about content structure (content types/schema) from Contentful but does not create, modify, delete, or execute any operations. It has minimal blast radius—an AI agent misusing it would only gain visibility into the content model, with no ability to alter data or cause financial impact.

From the tool's definition Tool name and description both indicate a list operation: 'list_content_types' retrieves the content model schema without modifying or deleting data. Contentful is a headless CMS; listing content types is a read-only query operation.

Risk signalsHandles credentials or secrets (access_token)

Questions about contentful_list_content_types

What does the contentful_list_content_types tool do? +

List Contentful content types (the content model). It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.

What parameters does contentful_list_content_types accept? +

contentful_list_content_types accepts 3 parameters: space_id, environment, access_token. Required: access_token. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on contentful_list_content_types? +

Register the UnClick MCP server in PolicyLayer and add a rule for contentful_list_content_types: 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 UnClick. Nothing to install.

What risk level is contentful_list_content_types? +

contentful_list_content_types is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit contentful_list_content_types? +

Yes. Add a rate_limit block to the contentful_list_content_types 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 contentful_list_content_types completely? +

Set action: deny in the PolicyLayer policy for contentful_list_content_types. 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 contentful_list_content_types? +

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

More on UnClick, and thousands of servers like it.

// THE MCP REGISTRY

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 UnClick's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.