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
161
MIT
Why this server?
Provides distributed tracing capabilities through OpenTelemetry middleware, enabling observability and performance monitoring of MCP server operations.
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The fast, idiomatic way to build MCP servers in Go. Gin-like DX with struct-tag auto schema, middleware, adapters for Gin/OpenAPI/gRPC.
Last updated
12
5
10
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?
Supplies documentation and configuration standards for integrating OpenTelemetry observability within agent architectures.
Provides standards documentation and validation tools for the Darwin platform, including naming conventions and agent card validation. It enables AI agents to search platform standards and access resource templates for design and implementation.
Last updated
6
Why this server?
Provides tools to access and search OpenTelemetry documentation, allowing users to fetch documentation pages in markdown format and search for specific content about tracing, metrics, instrumentation, and SDK configuration.
Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.
Last updated
2
3
Apache 2.0
Why this server?
Provides mock tools that can simulate interactions with a Kubernetes cluster running OpenTelemetry Demo, useful for testing agents against realistic but static data without requiring a live cluster.
Provides a set of read-only Kubernetes functions via an MCP server, enabling interaction with Kubernetes clusters through agents or coding assistants like GitHub Copilot.
Last updated
9
3
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?
Provides integration with OpenTelemetry for monitoring and tracing the security scan pipeline and execution.
AI supply chain security scanner for MCP servers and AI agents. 18 tools for CVE scanning, blast radius mapping, CIS benchmarks, SBOM generation, and compliance enforcement across OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.
Last updated
36
19
Why this server?
Processes traces captured with OpenTelemetry for analysis across multiple services, enabling correlation of trace spans and debugging of distributed systems.
Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.
