Is the Rarasai Raras MCP server down?

mcp-registry/io.github.rarasai/raras · v0.1.0

As of 2026-10-26 17:10 UTC, the Rarasai Raras MCP server is up with a Glimind reliability score of 96/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 2 minutes.

Disease Twin — Brazil's rare-disease knowledge graph (10,468) over MCP. Source-grounded, PT-BR.

Point your MCP client at this streamable-http endpoint: https://raras.org/api/mcp

Agent-readiness: C (79/100)

What to fix (2)

Auto-fix: 10 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 18 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.rarasai%2Fraras/fixes

{
  "name": "find_active_trials",
  "description": "Trials ativos com filtro Brazil.",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "orphaCode"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 15,
        "maximum": 30,
        "minimum": 1
      },
      "orphaCode": {
        "type": "string",
        "pattern": "^\\d+$"
      },
      "in_brazil_only": {
        "type": "boolean",
        "default": false
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Ensaios clínicos ativos"
}

{
  "name": "find_diseases_by_phenotypes",
  "description": "Match por IDs HPO. Use para diagnóstico diferencial.",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "hpo_ids"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 30,
        "minimum": 1
      },
      "hpo_ids": {
        "type": "array",
        "items": {
          "type": "string",
          "pattern": "^HP:\\d+$"
        },
        "maxItems": 20,
        "minItems": 1
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Buscar doenças por fenótipos"
}

{
  "name": "find_papers_for_disease",
  "description": "Literatura relacionada a uma doença via embeddings (:SEMANTIC_MATCH, fallback vetorial).",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "orphaCode"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 30,
        "minimum": 1
      },
      "min_score": {
        "type": "number",
        "default": 0.8,
        "maximum": 1,
        "minimum": 0
      },
      "orphaCode": {
        "type": "string",
        "pattern": "^\\d+$"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Papers de uma doença"
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.rarasai/raras"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.rarasai/raras"}) over MCP.

Passed

• Every tool has a well-formed, typed input schema.
• No tool-poisoning patterns (hidden characters, instruction overrides, concealment, secret access, tool shadowing).
• Compact tool list (~2,290 tokens).
• Tool names are unique and portable across clients.
• Speaks MCP 2025-06-18.
• 99.98% uptime over 30 days.
• No breaking contract changes in 30 days.

Largest tool definitions

• explain_relation ~194 tokens
• get_literature_relations ~159 tokens
• search_phenotypes ~152 tokens
• analyze_clinical_case ~135 tokens
• get_hypotheses ~135 tokens

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.rarasai%2Fraras.svg)](https://glimind.com/server/mcp-registry%2Fio.github.rarasai%2Fraras?ref=badge)

<a href="https://glimind.com/server/mcp-registry%2Fio.github.rarasai%2Fraras?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.rarasai%2Fraras.svg" alt="MCP agent-readiness"></a>

.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.rarasai%2Fraras.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.rarasai%2Fraras?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:5edadacc9c43a9de…, first seen 2026-10-17, included at leaf 15060 of 74,339. Version history · verify what your client received.

Tools (27)

• analyze_clinical_case
• explain_relation
• find_active_trials
• find_diseases_by_phenotypes
• find_papers_for_disease
• find_phenotypically_similar
• find_reference_centers
• find_similar_diseases
• get_disease
• get_disease_clinical_trials
• get_disease_detail
• get_disease_genes
• get_disease_phenotypes
• get_disease_sus_coverage
• get_disease_treatments
• get_evidence
• get_graph_stats
• get_hypotheses
• get_literature_relations
• get_recent_updates
• get_research_log
• get_schema
• get_sus_coverage
• reason_about_disease
• search_diseases
• search_papers_semantic
• search_phenotypes

Compare: most reliable knowledge servers · most reliable search servers · most reliable data servers · most reliable ml servers · most reliable database servers

claude mcp add --transport http glimind https://glimind.com/mcp

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Rarasai Raras MCP server down right now?

As of 2026-10-26 17:10 UTC, the Rarasai Raras MCP server is up with a Glimind reliability score of 96/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 2 minutes.

How many tools does Rarasai Raras MCP server provide?

Rarasai Raras MCP server advertises 27 tools, including analyze_clinical_case, explain_relation, find_active_trials, find_diseases_by_phenotypes, find_papers_for_disease.

How do I install Rarasai Raras MCP server?

Point your MCP client at this streamable-http endpoint: https://raras.org/api/mcp

Is the Rarasai Raras MCP server safe to connect to an AI agent?

Glimind scanned all 20 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Rarasai Raras MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.