"Analysis of March 18th JFK Assassination Document Releases" matching MCP servers:

Supply chain risk scoring for npm, PyPI, and GitHub repos

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.

Collects page performance metrics using Playwright, CDP, and Lighthouse, and returns a normalized PerformanceReport.

MITM proxy MCP server that intercepts and verifies AI agent tool calls, detecting fabrication, tracking costs, verifying outcomes, and inferring user satisfaction.

Enables AI assistants to analyze OpenReplay session recordings for user behavior patterns, problem detection, and actionable insights through session search, journey analysis, and AI-powered summaries.

Enables comprehensive ransomware threat analysis through 25+ tools that interact with ransomware.live API. Provides real-time data on ransomware groups, victims, negotiations, IOCs, and attack trends for cybersecurity investigation and monitoring.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.

Connect AI assistants to Sentry for error tracking, issues, releases, events, and project management through the Model Context Protocol. Provides tools to list organizations, projects, issues, events, releases, teams, and members, as well as get details and update issue status.

Enables AI agents to manage Google Play Console reviews and Android app releases, including replying to reviews, promoting releases, managing staged rollouts, and checking crash/ANR vitals.

Enables AI assistants to interact with Mender IoT platform for device management, deployment monitoring, and fleet analysis through natural language commands. Provides read-only access to device status, deployment logs, releases, and system monitoring capabilities.

Enables natural-language access to Sentry's skill library for setup, instrumentation, debugging, alerts, releases, stack traces, OpenTelemetry, and Cocoa snapshots, plus bounded issue triage, guarded remediation, and release-lineage workflows.

Full read/write MCP server for Bugsink, letting users view and manage teams, projects, issues, events, and releases, including resolving, muting, reopening, commenting on, and deleting issues.

Enables analysis of JVM thread dumps to detect deadlocks, CPU spikes, pool exhaustion, and virtual thread pinning, returning a health score and interactive report link.

Enables monitoring and analysis of agent goal achievement and failures across sessions, repos, and tools, with detailed views and tracing.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

MCP server for debugging regional ocean (MOM6 + CESM) model runs, combining log analysis tools with a searchable knowledge base of expert interview transcripts.

Enables diagnostics and troubleshooting of OpenShift clusters through storage analysis, resource monitoring, GPU utilization tracking, and pod health checks using Prometheus metrics and the oc CLI.