wikidata-sparql

Run a SPARQL query against the Wikidata Query Service.

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp

High RISK CLASS

Category Execute

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/wikidata-sparql.md

WHAT IT DOES

What wikidata-sparql does on Meta Data Mcp

AI agents invoke wikidata-sparql to trigger actions in Meta Data Mcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why wikidata-sparql is rated High

Although SPARQL queries against Wikidata's public endpoint are typically read-only in practice, the tool permits execution of arbitrary SPARQL code whose effects depend on the query content. An AI agent could craft complex queries with side effects, resource exhaustion potential, or exploit SPARQL injection vulnerabilities.

From the tool's definition Tool description states 'Run a SPARQL query against the Wikidata Query Service.' The verb 'Run' and the ability to execute arbitrary SPARQL queries indicates execution of code/queries against an external service.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wikidata-sparql 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 wikidata-sparql, this is the rule to start with:

wikidata-sparql Rate-limited

wikidata-sparql stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "wikidata-sparql": {
      "limits": [
        {
          "counter": "wikidata-sparql_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 wikidata-sparql call is checked against it from then on.

FAQ

Questions about wikidata-sparql

What does the wikidata-sparql tool do? +

Run a SPARQL query against the Wikidata Query Service. It is categorised as a Execute tool in the Meta Data Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on wikidata-sparql? +

Register the Meta Data MCP server in PolicyLayer and add a rule for wikidata-sparql: 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 wikidata-sparql? +

wikidata-sparql is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit wikidata-sparql? +

Yes. Add a rate_limit block to the wikidata-sparql 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 wikidata-sparql completely? +

Set action: deny in the PolicyLayer policy for wikidata-sparql. 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 wikidata-sparql? +

wikidata-sparql 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 → High-risk tools on this server →

Across the catalogue

All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →