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 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 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 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 MCP server for Altmetric APIs - track research attention across news, policy, social media, and more
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 Voris privacy-native web analytics for AI agents: query metrics & citations, scaffold tracking.
Logs agent work through one MCP tool, with configurable schemas and JSONL, webhook, or Postgres output sinks.
Key Features: Single `log_work` MCP tool Custom schemas and built-in schema profiles Server-side user identity injection 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 Independent monitoring: status, monitors, and incidents from your StackWitness workspace.
Local MCP server for querying Langfuse traces, debugging exceptions, analyzing sessions, and managing prompts in LLM apps.
Key Features: Query and inspect Langfuse traces and observations Find exceptions and analyze error details Session and user journey analysis tools Tamper-evident audit log and observability server for AI agents with SHA-256 hash chaining and real-time dashboard.
Key Features: SHA-256 hash-chained, append-only audit log Cryptographically verifiable event chain to detect tampering Multiple integration options: OpenTelemetry, OpenClaw, MCP, SDKs