"An analysis of financial or statistical charts" matching MCP servers:

An MCP server that gives AI agents access to RevenueCat's Charts & Metrics API. Query MRR, churn, trial conversion, revenue, and 17 more subscription metrics directly from Claude, Cursor, or any MCP client.

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

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.

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 read-only MCP tools for market snapshots, position risk, order reconciliation, and daily report previews with deterministic financial calculations, evidence chains, and audit trails.

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

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.

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.

Provides real-time stock data analysis, portfolio management, technical analysis with EMA/MACD indicators, and automated trading recommendations with confidence levels using Yahoo Finance API.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

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

MCP server that wraps Nightjar's analytics API, enabling Claude Code to query events, funnels, dashboards, and metrics through natural language.

MCP server wrapping the Akamai mPulse Query API v2 to fetch RUM aggregate data (summaries, histograms, per-minute time series) with loss-free numbers for downstream statistical analysis.

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.

Enables AI agents to perform instant SEO, performance, and security audits of any website through the Model Context Protocol. It provides comprehensive analysis without requiring API keys or configuration.

Enables AI assistants to interact with inSCADA systems via the Model Context Protocol, providing 39 tools for live data, alarms, scripts, historical analysis, charts, and more.

Enables AI agents to investigate Splunk exports or live queries using deterministic detectors and an iterative analysis loop, all running locally without data leaving the machine.

An AI-powered server that provides rapid debugging of server logs with actionable fixes in under 30 seconds, featuring real-time monitoring and root cause analysis through Google Gemini integration.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

Enables statistical forecasting and anomaly detection over numerical time-series data using Holt linear smoothing, multi-step projections, and variance-based confidence bands.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

Connects an LLM to your fleet of clusters via ACM or Multicluster Global Hub, enabling queries about fleet health, unhealthy clusters, and detailed cluster conditions.

Enables querying and analysis of a unified database of security detection rules across multiple formats, including Sigma, Splunk, Elastic, KQL, and CrowdStrike CQL.

Enables local analysis of classic libpcap capture files through MCP tools covering DNS, DHCP, ICMP, TCP connections, anomalies, retransmissions, traffic flows, SIP calls, and capture summaries without network access or API keys.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

An MCP server that uses SWI-Prolog for logical deduction to find root causes of errors in service dependencies, enabling root cause analysis, impact analysis, and cycle detection.

An MCP server powered by Meta's Prophet that enables LLMs to perform time-series forecasting, trend analysis, and predictive modeling on historical data. It provides LLM-friendly statistical summaries, automated business-rule validation, and ready-to-render Chart.js visualizations.