This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/railway-lines.md
What railway-lines does on Meta Data Mcp
AI agents call railway-lines to retrieve information from Meta Data Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why railway-lines is rated Low
This tool retrieves public railway line data from an open data API. It performs a read-only query that returns structured information about railway infrastructure. No side effects, state changes, or external operations are triggered. The low severity reflects minimal risk even if misused by an AI agent—at worst, it could retrieve or aggregate public transit data without harm.
From the tool's definition Tool name 'railway-lines' and description 'Fetch railway line information' indicate a data retrieval operation with no modification or execution capability.
Attacks that exploit this kind of access
The rule that runs railway-lines 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 railway-lines, this is the rule to start with:
railway-lines is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meta Data Mcp, apply this rule, and every railway-lines call is checked against it from then on.
Questions about railway-lines
Fetch railway line information. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.
Register the Meta Data MCP server in PolicyLayer and add a rule for railway-lines: 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.
railway-lines is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the railway-lines 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.
Set action: deny in the PolicyLayer policy for railway-lines. 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.
railway-lines 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.
More on Meta Data, and thousands of servers like it.
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