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Auralogs

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Hosted read-only MCP server for searching production logs and AI analyses.

MCP ServerSearch & WebRemote (streamable-http)
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Updated 2026-06-15

What is the Auralogs MCP server?

Auralogs is a hosted MCP server that connects AI clients directly to production logging data. Agents can query logs by level or time, perform full-text searches, fetch detailed entries, and review AI analyses without any ability to modify data.

Authentication uses bearer tokens with read-only keys scoped to a single project. The service is designed for tools like Claude, Cursor, and Cline, enabling natural-language questions about errors and patterns in live environments.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "auralogs": {
      "url": "https://mcp.auralogs.ai/mcp"
    }
  }
}

Tools it exposes

7 tools your AI client can call once connected.

list_projects— List projects accessible to the current read key
get_project— Get a project by id
list_logs— List logs, filtered by level and time range
search_logs— Full-text search across log messages
get_log— Get a single log with full context (stack, metadata)
list_analyses— List AI analyses, filtered by severity and type
get_analysis— Get one analysis (diagnosis, suggested fix, PR link)

Example prompts

Once connected, try asking your AI client:

“What's broken in production right now?
“Pull the last 20 error logs and look for patterns.
“Show me the most recent high-severity analysis.
“Search logs for database connection failures in the last hour.

Security & permissions

Remote Streamable HTTP server requiring a project-scoped Bearer token (aura_read_...) for read-only access; no local installation or write permissions.

What you can do with Auralogs

Debug production issues

Ask an agent to surface recent errors and identify patterns without manually reviewing stack traces.

Review AI analyses

Retrieve high-severity diagnoses and suggested fixes generated by Auralogs for recent incidents.

Monitor project logs

List accessible projects and pull filtered logs or search messages for specific keywords or time ranges.

How to use Auralogs

  1. 1Sign up at auralogs.ai and create a project to obtain a read key.
  2. 2Copy the MCP read key from Settings → API & MCP keys.
  3. 3Add the server in your client using the endpoint https://mcp.auralogs.ai/mcp and the Authorization header.
  4. 4Configure the transport as streamable-http with the bearer token for your chosen client (Claude, Cursor, etc.).
  5. 5Test the connection with an initialize request or by asking about recent logs.

Auralogs: pros & cons

Pros

  • +No local setup required; fully hosted service
  • +Strictly read-only with instant key revocation
  • +Includes AI-generated analyses alongside raw logs
  • +Works with multiple popular AI coding clients

Cons

  • –Rate limited to 60 requests per minute
  • –Requires paid or free-tier account at auralogs.ai
  • –Scoped to a single project per key
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Frequently asked questions

No, it is read-only by design with no write tools exposed.

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