Java MCP server providing full observability and management of Langfuse traces, sessions, prompts, datasets, and evaluations.
Key Features: Paginated trace and session querying with filtering Error-level exception tracking and detailed retrieval Full prompt lifecycle management with versioning and labels Local MCP server providing AI-driven access to Dynatrace observability data via natural language queries.
Key Features: AI-powered DQL generation and explanation Browser-based OAuth Authorization Code Flow authentication Token storage in OS keychain or file system MCP server providing live status and incident details for 3355 software services from official status pages.
Key Features: Access normalized live status for 3355 major software services Fetch structured incident details automatically for non-operational services Cache status data with 60-second expiry and option to bypass cache Access and manage Grafana dashboards, datasources, queries, incidents, and permissions via MCP.
Key Features: Dashboard search, summary, property extraction, and updates Prometheus and Loki querying with metadata access Incident creation, listing, and activity management MCP server for Altmetric APIs - track research attention across news, policy, social media, and more
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
MCP server for AI agent evaluation with trace logging, output quality checks, cost tracking, and a real-time dashboard.
Key Features: Hierarchical span trace logging with latency, token usage, and cost 13 built-in evaluation rules including PII and prompt injection detection Cost aggregation and budget threshold alerts Privacy-first AI-native web analytics MCP server for querying traffic, events, funnels, and alerts via conversational agents.
Key Features: Pageviews, visitors, sessions, bounce rate, and duration metrics Time series and period comparison of core metrics Breakdown by dimensions like pathname, referrer, device, and UTM fields MCP server proxying Sentry API for developer workflows, enabling AI agents to query errors, issues, and performance data.
Key Features: Middleware MCP server for Sentry API Supports AI-powered natural language search with LLM providers Compatible with remote and stdio transports CLI-first homelab management server for monitoring, Docker control, Wake-on-LAN, network scanning, and alerts via SSH.
Key Features: System resource monitoring (CPU, memory, disk, uptime) Docker container listing and management Network inventory scanning and port topology mapping Real-time cost tracking proxy for MCP tool calls with usage attribution by tool, project, and customer.
Key Features: Auto-detects and proxies MCP clients including Claude Desktop, Cursor, Windsurf, VS Code, and Claud… Streams usage data to a centralized dashboard at mcpspend.com Provides usage querying via MCP client tools or HTTP API with bearer token Deterministically analyze public GitHub repos for tech stack, dependencies, architecture, health, and security in JSON format.
Key Features: Supports multiple languages and package managers (Python, JS, Rust, Go, Java, Ruby, C/C++) Detects frameworks, CI/CD tools, test frameworks, and architecture traits Provides repo metadata: stars, forks, license, languages, contributors