gbif-search-species

Search the GBIF species backbone by free-text query and optional rank.

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/gbif-search-species.md

WHAT IT DOES

What gbif-search-species does on Meta Data Mcp

AI agents call gbif-search-species 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 gbif-search-species is rated Low

This tool retrieves species data from the Global Biodiversity Information Facility (GBIF) backbone taxonomy in response to search parameters. It is a read-only operation that queries an open data API. No side effects, modifications, deletions, or financial transactions are possible. The 'search' verb and read-only nature of querying a public taxonomy database clearly classify this as Read.

From the tool's definition Tool name 'gbif-search-species' and description 'Search the GBIF species backbone by free-text query' indicate a query/search operation with no data modification, deletion, or execution of arbitrary code.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gbif-search-species 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 gbif-search-species, this is the rule to start with:

gbif-search-species Allowed

gbif-search-species 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": {
    "gbif-search-species": {}
  }
}

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 gbif-search-species call is checked against it from then on.

FAQ

Questions about gbif-search-species

What does the gbif-search-species tool do? +

Search the GBIF species backbone by free-text query and optional rank. 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 gbif-search-species? +

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

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

Can I rate-limit gbif-search-species? +

Yes. Add a rate_limit block to the gbif-search-species 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 gbif-search-species completely? +

Set action: deny in the PolicyLayer policy for gbif-search-species. 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 gbif-search-species? +

gbif-search-species 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 →