# Auralogs MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/ai-auralogs-auralogs
- Repository: https://github.com/auralogs-ai/auralogs-mcp
- Website: https://docs.auralogs.ai/read-api/overview/

## Install
- Endpoint: https://mcp.auralogs.ai/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://mcp.auralogs.ai/mcp
- Header: Authorization

## Tools
- list_projects - List projects accessible to the current read key (one project for v1). Endpoint: https://mcp.auralogs.ai/mcp
- get_project - Get a project by id. Must match the read key's scoped project. Endpoint: https://mcp.auralogs.ai/mcp
- list_logs - List logs for the scoped project, optionally filtered by level/since/until. Endpoint: https://mcp.auralogs.ai/mcp
- search_logs - Full-text search log messages for the scoped project. Endpoint: https://mcp.auralogs.ai/mcp
- get_log - Get a single log row by id, with full context (stack, metadata). Endpoint: https://mcp.auralogs.ai/mcp
- list_analyses - List active analyses for the scoped project. Archived analyses (triaged from the dashboard) are excluded by default; pass include_archived=true to see them. Optional filters: severity (low/medium/high/critical), type (reactive/scheduled). Endpoint: https://mcp.auralogs.ai/mcp
- get_analysis - Get a single analysis by id (diagnosis, suggested fix, PR link if any). Endpoint: https://mcp.auralogs.ai/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: ai.auralogs
- Version: 0.1.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 10, 2026
- Source: https://registry.modelcontextprotocol.io