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Brazil's rare-disease knowledge graph — 10,468 diseases, phenotypes, genes, and clinical trials via MCP.
Review before connecting
The findings on this server are worth reviewing before you connect an agent to it.
Scanned 26 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The rarasnet-http MCP server exposes 20 tools, focused primarily on general-purpose capabilities. Its published description reads: "Brazil's rare-disease knowledge graph — 10,468 diseases, phenotypes, genes, and clinical trials via MCP". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates rarasnet-http C- — the findings are worth reviewing before you connect an agent to it. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check rarasnet-http's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add rarasnet-http to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://raras.org/api/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
Full-text search em 10.468 doenças raras. Suporta filtros SUS/trials.
Fenótipos HPO, genes, SUS, trials, descrição clínica em PT.
Match por IDs HPO. Use para diagnóstico diferencial.
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: find_phenotypically_similar
A tool description tries to alter the model’s use of another tool.
m). Complementa find_similar_diseases (semântico).RecommendationDescriptions must describe only their own tool.
tool: (server instructions)
A tool description tries to alter the model’s use of another tool.
ive source (use get_evidence). Never diagnose — suggest medical consultationRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
Validates ZUGFeRD, Factur-X, and XRechnung e-invoices against EN 16931 with correction suggestions.
Tracks US tariff and trade-action changes from Federal Register documents and exposes them through an API for AI agents.
Instant rug-check for any EVM or Solana token, distilled to one clear 0-10 risk verdict.
Provides access to Bible translations, books, chapters, verses, and search functionality.
Remote-first MCP adapter for emitting Settlement Attestation Receipts; not a verifier.
Risk-ranked registry of AI tools for enterprise governance, enabling lookup of tool risk and shadow AI domain detection.
Lookup HPO em PT ou EN. Retorna IDs HP:.
CEAF, SIGTAP, PNTN, nível de integração.
Centros por doença e/ou UF, com CNES.
Trials ativos com filtro Brazil.
Vector similarity via embeddings SOTA.
Doenças com perfil de fenótipos HPO semelhante (simGIC pré-computado, explicável: nº de fenótipos em comum). Complementa find_similar_diseases (semântico).
Contagens e métricas do dataset.
Busca vetorial sobre 424k papers do PubMed. Use caso clínico, pergunta ou conjunto de sintomas.
Literatura relacionada a uma doença via embeddings (:SEMANTIC_MATCH, fallback vetorial).
Caso clínico → doenças candidatas + literatura relevante em 1 chamada. Apenas informativo, nunca diagnóstico.
Node labels, relationship types e property keys do grafo. Use antes de cypher_query.
Raciocínio fundamentado sobre o grafo: dada uma pergunta (ex.: "por que o gene X se associa à doença Y?", "como a droga Z se relaciona a esta doença?"), retorna caminhos de evidência multi-hop (doença
Relações tipadas extraídas da literatura biomédica (associate/treat/cause/inhibit/stimulate/prevent) entre a doença e genes/fármacos, com nº de publicações como proveniência. Filtrável por predicado.
Candidatos a reposicionamento de fármacos gerados por associação de genes (guilt-by-association): drogas que tratam outras doenças que compartilham genes com esta. HIPÓTESES para investigação, NUNCA r
Registro cronológico do que o agente autônomo fez por esta doença: autoria, mineração de literatura, evidência genética, verificação, prospecção de fontes, recomputação de relações. Prova de que o gêm
Doenças cujo gêmeo digital ganhou evidência nova (autoria, PubTator3, Open Targets, verificação) nos últimos N dias. Faça polling para acompanhar mudanças (substituto stateless de subscriptions).
Cross-references de autoridade (Orphanet, MONDO, OMIM, MeSH, GARD, UMLS), status de verificação e PMIDs de uma doença. A base da regra "nunca inventar".