transitous-plan

Door-to-door public transit journey planning, worldwide: A→B

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/transitous-plan.md

WHAT IT DOES

What transitous-plan does on Meta Data Mcp

AI agents use transitous-plan to create or update resources in Meta Data Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meta Data Mcp environment.

RISK

Why transitous-plan is rated Medium

An AI agent can call transitous-plan faster than any human can review: one bad instruction and it creates or modifies resources in Meta Data Mcp by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs transitous-plan safely

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

transitous-plan Rate-limited

transitous-plan 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": {
    "transitous-plan": {
      "limits": [
        {
          "counter": "transitous-plan_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 Meta Data Mcp, apply this rule, and every transitous-plan call is checked against it from then on.

FAQ

Questions about transitous-plan

What does the transitous-plan tool do? +

Door-to-door public transit journey planning, worldwide: A→B. It is categorised as a Write tool in the Meta Data Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on transitous-plan? +

Register the Meta Data MCP server in PolicyLayer and add a rule for transitous-plan: 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 Meta Data Mcp. Nothing to install.

What risk level is transitous-plan? +

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

Can I rate-limit transitous-plan? +

Yes. Add a rate_limit block to the transitous-plan 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 transitous-plan completely? +

Set action: deny in the PolicyLayer policy for transitous-plan. 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 transitous-plan? +

transitous-plan is provided by the Meta Data MCP server (pypi:meta-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

Govern customer-ops agents →Argument validation →Scoped token →