mcp-rdf-explorer

mcp-rdf-explorer is an MCP (Model Context Protocol) server that lets AI clients explore RDF data using FastMCP tools/resources. It supports RDF Turtle local-file mode and SPARQL endpoint mode, providing SPARQL execution utilities, graph statistics, schema/resource discovery, and some prompt-to-SPARQL style capabilities.

Evaluated Mar 30, 2026 (22d ago)
Repo ↗ Ai Ml mcp rdf sparql knowledge-graph python data-exploration graph-analysis
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
21
/ 100
Is it safe for agents?
⚡ Reliability
26
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
65
Documentation
55
Error Messages
0
Auth Simplicity
90
Rate Limits
10

🔒 Security

TLS Enforcement
20
Auth Strength
10
Scope Granularity
0
Dep. Hygiene
45
Secret Handling
40

No authentication/authorization model is described for the MCP server. The server can accept arbitrary SPARQL queries (including endpoint URL inputs), which increases risk of SSRF-like behavior or resource exhaustion if used in untrusted contexts. README provides no guidance on TLS usage, rate limiting, query limits, sanitization, or safe parameterization.

⚡ Reliability

Uptime/SLA
0
Version Stability
50
Breaking Changes
35
Error Recovery
20
AF Security Reliability

Best When

You want to integrate RDF/SPARQL exploration into an MCP-capable client (e.g., Claude Desktop) for local files or a known SPARQL endpoint, and you can tolerate best-effort behavior without formal guarantees.

Avoid When

You need fine-grained authorization, robust secret management, strong TLS/auth requirements documentation, and predictable operational reliability (SLA, versioning policy, retry/idempotency guidance).

Use Cases

  • Conversational exploration of RDF knowledge graphs
  • Running SPARQL queries from an AI host/client via MCP tools
  • Fetching schema/class/property-like information from an RDF graph
  • Basic graph introspection such as counting triples and computing graph stats
  • Searching RDF content/terms (full-text search) for entity discovery
  • Generating exploratory reports/outputs (e.g., Markdown report) from predefined templates

Not For

  • Production-grade managed APIs requiring strong security posture and managed authentication
  • Use cases needing guaranteed query safety/parameterization against malicious SPARQL input
  • Use cases requiring stable SLA, published uptime, or formal backward-compatibility guarantees

Interface

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

Authentication

OAuth: No Scopes: No

README describes running the server locally for local Turtle files or connecting to a SPARQL endpoint, but does not document any authentication/authorization mechanism for the MCP server itself.

Pricing

Free tier: No
Requires CC: No

No pricing information provided; appears to be an open-source tool (MIT) run by the user.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • SPARQL queries are provided as free-form strings; agent-generated queries may be expensive or fail depending on endpoint capabilities/limits.
  • count_triples is disabled in SPARQL endpoint mode per README, so an agent should not assume it always works.
  • full_text_search and any SERVICE/federated behaviors may vary by triplestore support (esp. local vs endpoint mode).

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

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