Is the Auralogs MCP server down?

mcp-registry/ai.auralogs/auralogs · v0.1.0

Also listed as glama/auralogs-ai/auralogs-mcp-server

healthy
Last checked 2026-10-22 18:48 UTC · handshake 106ms

As of 2026-10-22 18:48 UTC, the Auralogs MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.

uptime (30d checks)
100%
checks observed
4,323
outages (90d)
0
tools
7

Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.

Install Auralogs MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http auralogs-mcp-server https://mcp.auralogs.ai/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "auralogs-mcp-server": {
      "type": "http",
      "url": "https://mcp.auralogs.ai/mcp"
    }
  }
}

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

Agent-readiness: D (68/100)

D (68/100): 0 error(s), 3 warning(s) across 7 tool(s); ~801 tokens of tool definitions.
Scores higher than 3% of 15,554 MCP servers Glimind has audited.
Its tool list costs an agent ~801 tokens per session — lighter than 80% of servers.
68 → 68 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions30
Safety hints30
Token cost100
Client compatibility70
Protocol40
Reliability100
Stability100

What to fix (4)

7 of 7 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: get_analysis, get_log, get_project, list_analyses, list_logs and 2 more

19 parameter(s) across 6 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: get_analysis, get_log, get_project, list_analyses, list_logs and 1 more

Negotiates MCP 2025-03-26. Structured output, tool output schemas and elicitation arrived in 2025-06-18.

Upgrade the MCP SDK and negotiate 2025-06-18 or newer. How to fix →

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →

Auto-fix: 7 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 6 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fai.auralogs%2Fauralogs/fixes

get_analysis 1 change
{
  "name": "get_analysis",
  "description": "Get a single analysis by id (diagnosis, suggested fix, PR link if any).",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "analysis_id"
    ],
    "properties": {
      "analysis_id": {
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_log 1 change
{
  "name": "get_log",
  "description": "Get a single log row by id, with full context (stack, metadata).",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "log_id"
    ],
    "properties": {
      "log_id": {
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_project 1 change
{
  "name": "get_project",
  "description": "Get a project by id. Must match the read key's scoped project.",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "project_id"
    ],
    "properties": {
      "project_id": {
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true
  }
}

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/ai.auralogs/auralogs"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/ai.auralogs/auralogs"}) 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%2Fai.auralogs%2Fauralogs.svg)](https://glimind.com/server/mcp-registry%2Fai.auralogs%2Fauralogs?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fai.auralogs%2Fauralogs?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.auralogs%2Fauralogs.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.auralogs%2Fauralogs.svg
   :target: https://glimind.com/server/mcp-registry%2Fai.auralogs%2Fauralogs?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:c991ad82b870e603…, first seen 2026-10-17, included at leaf 14616 of 47,552. Version history · verify what your client received.

Tools (7)

Compare: most reliable data servers · most reliable devops 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 Auralogs MCP server down right now?

As of 2026-10-22 18:48 UTC, the Auralogs MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.

How many tools does Auralogs MCP server provide?

Auralogs MCP server advertises 7 tools, including get_analysis, get_log, get_project, list_analyses, list_logs.

How do I install Auralogs MCP server?

Point your MCP client at this streamable-http endpoint: https://mcp.auralogs.ai/mcp

Is the Auralogs MCP server safe to connect to an AI agent?

Glimind scanned all 7 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 Auralogs 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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