WikidataMCP

Provides a Model Context Protocol (MCP) server exposing Wikidata exploration/query tools (item/property search, entity statements/values, hierarchy retrieval, and SPARQL execution). A hosted endpoint and local/Docker run instructions are provided.

Evaluated Mar 30, 2026 (0d ago)
Homepage ↗ Repo ↗ Ai Ml mcp wikidata wikimedia knowledge-graph sparql llm-agents tooling
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
41
/ 100
Is it safe for agents?
⚡ Reliability
29
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
65
Error Messages
0
Auth Simplicity
90
Rate Limits
10

🔒 Security

TLS Enforcement
90
Auth Strength
20
Scope Granularity
0
Dep. Hygiene
55
Secret Handling
50

TLS is implied by HTTPS for the hosted endpoints, but explicit enforcement and certificate/policy details are not provided. Authentication/authorization is not documented, so access controls are unknown. The server executes arbitrary SPARQL provided by the caller, which increases the importance of server-side safeguards (query limits, timeouts, and output filtering), but those controls are not described. Dependency hygiene is inferred only from visible dependency list (no CVE/status data provided).

⚡ Reliability

Uptime/SLA
10
Version Stability
35
Breaking Changes
40
Error Recovery
30
AF Security Reliability

Best When

When an LLM/agent needs standardized, tool-based access to Wikidata content (especially search + statement retrieval + SPARQL) and can handle paginated/limited result sizes itself.

Avoid When

When you need guaranteed rate-limit guarantees, formal error-code semantics, authentication requirements, or strong operational guarantees that are not documented in the provided materials.

Use Cases

  • Agentic workflows that need to look up Wikidata entities from natural language
  • Generating or verifying knowledge graph facts via Wikidata statements and qualifiers/references
  • Building entity filtering logic using instance/subclass hierarchy
  • Running Wikidata Query Service (SPARQL) from an LLM/agent and retrieving results
  • Enriching downstream applications with Wikidata labels/descriptions (via returned tool outputs)

Not For

  • Use as a general-purpose Wikidata client without understanding SPARQL/data-model semantics
  • High-assurance/provenance-critical pipelines unless tool outputs are validated and error handling semantics are confirmed
  • Workloads requiring explicit tenant isolation or guaranteed data residency (not described)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Not documented in provided README content
OAuth: No Scopes: No

The README does not describe any authentication mechanism (API keys/OAuth), so auth expectations and protections are unknown from the provided materials.

Pricing

Free tier: No
Requires CC: No

No pricing or quotas were stated in the provided README content.

Agent Metadata

Pagination
none
Idempotent
True
Retry Guidance
Not documented

Known Gotchas

  • `execute_sparql` returns up to K rows as CSV; agents must set K appropriately and avoid assuming full result sets.
  • `get_statements` excludes qualifiers/references/deprecated values; agents needing full provenance should use `get_statement_values`.
  • Search functions may depend on vector search availability and fall back to keyword search; results/recall may vary.
  • The README does not document rate limits, timeouts, or error-code semantics—agents may need to implement conservative retries/backoff after observing failures.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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