create_contact

Create a contact on an existing CRM account.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp

Medium RISK CLASS

Category Write

Parameters 62 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/create-contact.md

WHAT IT DOES

What create_contact does on FavCRM

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

Parameter	Type	Required	Description
`name`	string	Yes	Contact name
`email`	string	—	Email
`phone`	string	—	Phone
`jobTitle`	string	—	Job title
`accountId`	string	Yes	Owning account ID
`isPrimary`	boolean	—	Mark as primary contact

Parameters from the server's own tool schema.

RISK

Why create_contact is rated Medium

The tool creates new data (contacts) in the CRM system, which is a classic Write operation. It is not Read (no data retrieval), not Execute (no code execution or external triggers), not Destructive (the action is reversible—contacts can be deleted), and not Financial (no money movement).

From the tool's definition Tool name 'create_contact' and description 'Create a contact on an existing CRM account' indicate data creation. This is a reversible write operation that adds new customer/contact records to the CRM system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_contact safely

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

create_contact Rate-limited

create_contact stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_contact": {
      "limits": [
        {
          "counter": "create_contact_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about create_contact

What does the create_contact tool do? +

Create a contact on an existing CRM account. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_contact accept? +

create_contact accepts 6 parameters: name, email, phone, jobTitle, accountId, isPrimary. Required: name, accountId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_contact? +

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

What risk level is create_contact? +

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

Can I rate-limit create_contact? +

Yes. Add a rate_limit block to the create_contact 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_contact completely? +

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

create_contact is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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