recipe_save

Saves a user-authored recipe manifest (JSON) to ~/.local/share/local-mcp/recipes/. Must have a name and a non-empty steps array. Returns {name}.

SERVERLocal SOURCElocal-mcp

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-local-mcp-local-mcp/recipe-save.md

WHAT IT DOES

What recipe_save does on Local

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

Parameter	Type	Required	Description
`manifest`	object	Yes	The recipe manifest.

Parameters from the server's own tool schema.

RISK

Why recipe_save is rated Medium

This tool creates or modifies data in a reversible manner by saving recipe manifests to disk. It is Write rather than Execute because it stores structured data rather than running code or triggering operations whose effects depend on arguments.

From the tool's definition Saves a user-authored recipe manifest (JSON) to ~/.local/share/local-mcp/recipes/. The tool creates and persists data to the filesystem.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs recipe_save safely

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

recipe_save Rate-limited

recipe_save 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": {
    "recipe_save": {
      "limits": [
        {
          "counter": "recipe_save_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 Local, apply this rule, and every recipe_save call is checked against it from then on.

FAQ

Questions about recipe_save

What does the recipe_save tool do? +

Saves a user-authored recipe manifest (JSON) to ~/.local/share/local-mcp/recipes/. Must have a name and a non-empty steps array. Returns {name}. It is categorised as a Write tool in the Local MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does recipe_save accept? +

recipe_save accepts 1 parameter: manifest. Required: manifest. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on recipe_save? +

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

What risk level is recipe_save? +

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

Can I rate-limit recipe_save? +

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

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

recipe_save is provided by the Local MCP server (local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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