#racing

The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track what your agents are actually doing and costing you. Real-time dark-mode dashboard, OpenTelemetry-compatible span structure, self-hosted with SQLite. MIT licensed.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Node.js mcp server for iRacing data api

한국 마사회의 공공API를 이용한 MCP server 입니다.

BatchData MCP Server A Model Context Protocol (MCP) server that integrates with BatchData.io's comprehensive property and address APIs. This server provides access to property data, address verification, skip tracing, geocoding, and advanced property search capabilities. Features Address Operations verify-address: Validate and standardize addresses using USPS verification autocomplete-address: Get intelligent address suggestions as you type geocode-address: Convert addresses to latitude/longitude coordinates reverse-geocode: Convert coordinates back to readable addresses Property Operations lookup-property: Get detailed property information by address or APN (Assessor Parcel Number) search-properties: Advanced property search with comprehensive filters search-properties-by-boundary: Geographic boundary searches using bounding boxes or radius count-properties: Get property counts matching specific criteria (lightweight operation)

Professional skip tracing demo built with 6-server MCP stack - Locate individuals and gather contact information with AI-powered confidence scoring

The MistTrack MCP server allows Claude AI to directly access blockchain data provided by the MistTrack API, offering address analysis, risk assessment, transaction tracking, and fund flow visualization capabilities, with support for multi-layer recursive transaction analysis.