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.
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.
15
14
128
MIT
Why this server?
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.
4
162
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.
77
29
Apache 2.0
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.
6
Why this server?
Integrate OpenTelemetry for observability, enabling monitoring of query performance and system health.
Enables AI assistants to query Azure Data Explorer using natural language, eliminating the need to write KQL.
7
613
7
MIT
Why this server?
Provides tools for querying and analyzing OpenTelemetry traces, allowing AI agents to list recent traces, get span trees, search spans, and get service summaries.
MCP server that gives AI agents access to your application's OpenTelemetry traces for querying, analysis, and debugging.
5
21
2
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.
11
MIT
Why this server?
Integrates native OpenTelemetry support for monitoring and distributed tracing, with automatic traceparent header propagation from MCP requests.
An MCP server that gives your IDE or agent access to Google Gemini with autonomous codebase exploration, enabling deep code analysis, architectural reviews, and bug hunting.
20
10
MIT
Why this server?
Allows exporting telemetry data via OpenTelemetry for observability.
Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.
