Observe

소개

This experimental MCP server acts as a secure bridge between technically capable LLMs (like Claude Sonnet) and your Observe data. It facilitates direct interaction with the Observe platform, enabling the execution of OPAL queries, listing dataset information, and managing monitors. By leveraging Pinecone as a vector database for documentation and runbooks, it offers semantic search capabilities for in-depth information, assisting with OPAL query crafting and comprehensive troubleshooting across various data types. The server is designed to keep private data within Observe, preventing leakage to LLMs by avoiding internal LLM functions.

주요 기능

• Securely interfaces LLMs with Observe API without exposing private data to LLM
• Supports multi-index vector database architecture for documentation and runbooks
• Recommends troubleshooting runbooks based on user queries
• Provides semantic search for OPAL reference documentation using Pinecone
• Execute OPAL queries and manage Observe datasets/monitors via LLM
• 1 GitHub stars

사용 사례

• Assisting LLM models in interacting with Observe for data analysis and query execution
• Providing AI-powered troubleshooting assistance for Observe users via runbook recommendations
• Enabling contextual data access (e.g., GitHub commits, business metrics) alongside Observe data for comprehensive investigations