Is the Interailabs Ai Risk Oracle MCP server down?

mcp-registry/io.github.interailabs/ai-risk-oracle · v0.1.3-beta.1

healthy
Last checked 2026-10-21 00:56 UTC · handshake 401ms

As of 2026-10-21 00:56 UTC, the Interailabs Ai Risk Oracle MCP server is up with a Glimind reliability score of 83/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 9 outages in 90 days, with a median recovery of 7 minutes.

uptime (30d checks)
99.8%
checks observed
4,090
outages (90d)
9
tools
9

Pre-execution policy gate for consequential agent actions with durable trust receipts.

Install Interailabs Ai Risk Oracle MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http interailabs-ai-risk-oracle-mcp-server https://api.interailabs.dev/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "interailabs-ai-risk-oracle-mcp-server": {
      "type": "http",
      "url": "https://api.interailabs.dev/mcp"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: B (81/100)

B (81/100): 0 error(s), 4 warning(s) across 9 tool(s); ~19,781 tokens of tool definitions.
Scores higher than 36% of 15,430 MCP servers Glimind has audited.
Its tool list costs an agent ~19,781 tokens per session — more than 95% of servers.
81 → 81 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints100
Token cost33
Client compatibility50
Protocol100
Reliability85
Stability100

What to fix (4)

3 tool definition(s) exceed ~1,200 tokens each (largest: oracle.verify_response, ~6,307).

Move long reference material out of descriptions (link a doc or expose a resource), drop repeated examples, and collapse large enums. Trimming these to ~600 tokens saves ~16,818 tokens every session. How to fix →

Tools: oracle.verify_response, oracle.verify_batch, oracle.verify_autonomous_action · saves ~16,818 tokens/session

9 tool name(s) contain "." or exceed 64 characters, which OpenAI-compatible function calling rejects (^[a-zA-Z0-9_-]{1,64}$).

Use "_" or "-" instead of "." and keep names to 64 characters, so clients built on OpenAI-style tool calling don't have to rename (or drop) them. How to fix →

Tools: oracle.agent_card, oracle.discovery_bundle, oracle.get_pricing, oracle.get_trust_receipt, oracle.service_descriptor and 4 more

Loading this server's tool list costs an agent ~19,781 tokens before any work — more than 95% of MCP servers.

Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →

Handshake + tools/list takes ~1,961 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

Auto-fix: 9 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle/fixes

oracle.agent_card 1 change 
{
  "name": "oracle_agent_card",
  "description": "Read-only A2A Agent Card with agent identity, security scheme, capabilities, and skills. Use it when selecting or integrating InterAI through A2A; use oracle.service_descriptor for general service metadata or oracle.discovery_bundle for complete bootstrap context.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "annotations": {
    "title": "A2A Agent Card",
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  },
  "title": "A2A Agent Card"
}
oracle.discovery_bundle 1 change 
{
  "name": "oracle_discovery_bundle",
  "description": "Read-only bootstrap or handoff bundle with service identity, interfaces, runtime mode, contracts, schemas, and sample payloads in one response. Use it for complete integration context; use oracle.service_descriptor for focused service metadata, oracle.agent_card for A2A capabilities, or oracle.get_pricing for costs.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "annotations": {
    "title": "Discovery Bundle",
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  },
  "title": "Discovery Bundle"
}
oracle.get_pricing 1 change 
{
  "name": "oracle_get_pricing",
  "description": "Read-only public metadata for costs, trial availability, idempotency, and top-up or payment paths. Use it before budgeting or onboarding; it does not evaluate risk or create a trust receipt.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "annotations": {
    "title": "Get Pricing",
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  },
  "title": "Get Pricing"
}

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.interailabs/ai-risk-oracle"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.interailabs/ai-risk-oracle"}) over MCP.

Passed

Largest tool definitions

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:

Markdown 
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle.svg)](https://glimind.com/server/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle?ref=badge)
HTML 
<a href="https://glimind.com/server/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle.svg" alt="MCP agent-readiness"></a>
reStructuredText 
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.interailabs%2Fai-risk-oracle?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:a82778f72564d69a…, first seen 2026-10-17, included at leaf 232 of 36,196. Version history · verify what your client received.

Tools (9)

Compare: most reliable other servers · most reliable knowledge servers · most reliable security servers

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Add to Cursor Add to VS Code

Claude Code

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

Claude Desktop · Windsurf · Cline (mcpServers JSON)

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

FAQ

Is the Interailabs Ai Risk Oracle MCP server down right now?

As of 2026-10-21 00:56 UTC, the Interailabs Ai Risk Oracle MCP server is up with a Glimind reliability score of 83/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 9 outages in 90 days, with a median recovery of 7 minutes.

How many tools does Interailabs Ai Risk Oracle MCP server provide?

Interailabs Ai Risk Oracle MCP server advertises 9 tools, including oracle.agent_card, oracle.discovery_bundle, oracle.get_pricing, oracle.get_trust_receipt, oracle.service_descriptor.

How do I install Interailabs Ai Risk Oracle MCP server?

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

Is the Interailabs Ai Risk Oracle MCP server safe to connect to an AI agent?

Glimind scanned all 9 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 Interailabs Ai Risk Oracle 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.

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