OpenTelemetry is an observability framework for cloud-native software. It provides tools, APIs, and SDKs to capture telemetry data from applications and process it for understanding their behavior and performance.
Enables access and analysis of OpenTelemetry traces and metrics data stored in Logfire, with tools for finding exceptions, retrieving trace information, and executing SQL queries against telemetry data.
A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.
Last updated
4
162
MIT
Why this server?
Enables distributed tracing and observability for monitoring server performance and debugging proof generation workflows.
Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.
Last updated
6
MIT
Why this server?
The instrumented agents emit OpenTelemetry-compatible traces, metrics, and logs for observability.
An MCP server that automatically instruments Python AI agents with the ioa-observe-sdk, adding OpenTelemetry-based tracing, metrics, and logs with zero manual effort.
Last updated
2
Apache 2.0
Why this server?
Provides distributed tracing capabilities through OpenTelemetry middleware, enabling observability and performance monitoring of MCP server operations.
An MCP server that enables AI agents to safely operate multi-cluster Kubernetes fleets through an Open Cluster Management hub, with policy enforcement, human approval, and audit tracing.
Last updated
35
49
Apache 2.0
Why this server?
Provides performance monitoring and metrics collection through an OpenTelemetry-compatible system for tracking tool utilization and provider performance.
An MCP server that enables multi-provider AI collaboration using models like DeepSeek, OpenAI, and Anthropic through strategies such as parallel execution and consensus building. It provides specialized tools for side-by-side content comparison, quality review, and iterative refinement across different AI providers.
Last updated
4
1
MIT
Why this server?
Provides documentation, best practices, and configuration guidance for OpenTelemetry observability framework.
Self-hosted MCP server for live documentation, code audits, and best practices. 10 tools, unlimited library coverage (363+ curated + npm/PyPI/crates.io/Go fallback), no rate limits. Context7 alternative.
Last updated
14
508
5
Elastic 2.0
Why this server?
Receives logs via OTLP (HTTP/gRPC) and exports detection results to an OTLP collector.
RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.
Last updated
13
119
MIT
Why this server?
Core integration that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints, supporting all three OTLP wire formats (gRPC, HTTP/protobuf, HTTP/JSON) for comprehensive observability data collection.
An MCP server that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints in various formats. It includes tool-mimicry profiles to generate realistic traffic resembling common tools like nginx, postgres, and AWS Lambda for testing and demonstration purposes.
