crossref-works-search

Search Crossref scholarly works with full-text query, filters, sort, and field selection.

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/crossref-works-search.md

WHAT IT DOES

What crossref-works-search does on Meta Data Mcp

AI agents call crossref-works-search 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.

RISK

Why crossref-works-search is rated Low

This tool retrieves and queries scholarly metadata from the Crossref database. It has no side effects, does not modify data, execute code, delete records, or trigger external operations. The search, filter, and sort parameters are all read operations. The blast radius of misuse is minimal — an agent could only retrieve excess data or perform resource-intensive queries, not cause harm.

From the tool's definition Tool performs search operations on Crossref scholarly works with "full-text query, filters, sort, and field selection" — all read-only query operations with no data modification, deletion, or execution capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs crossref-works-search 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 crossref-works-search, this is the rule to start with:

crossref-works-search Allowed

crossref-works-search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crossref-works-search": {}
  }
}

ALLOW ONLY 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 crossref-works-search call is checked against it from then on.

FAQ

Questions about crossref-works-search

What does the crossref-works-search tool do? +

Search Crossref scholarly works with full-text query, filters, sort, and field selection. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crossref-works-search? +

Register the Meta Data MCP server in PolicyLayer and add a rule for crossref-works-search: 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 crossref-works-search? +

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

Can I rate-limit crossref-works-search? +

Yes. Add a rate_limit block to the crossref-works-search 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 crossref-works-search completely? +

Set action: deny in the PolicyLayer policy for crossref-works-search. 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 crossref-works-search? +

crossref-works-search 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

More on Meta Data, and thousands of servers like it.

This server

All 396 Meta Data tools →

Across the catalogue

search_torrents on M-Team MCP Server →aiva_search_customers on AIVA MCP Server →search_channel on YouTube MCP Server →hybrid_search on Azure AI Agent Service + Azure AI Search MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →