"Collecting and Analyzing Server-Side Errors Based on MySQL, Redis, and Elasticsearch" matching MCP servers:

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Enables Codex to control a Gephi 3D network view through natural language, including network generation, 3D layout, node focus and neighbor highlighting, layered views, and PNG/PDF export.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Calculates Taiyi Shenshu (太乙神數) based on a given datetime and returns structured text and a board PNG image.

Open-source mind maps and whiteboard your agent draws on live: 22 tools for mind maps, notes, shapes, tables, charts, connectors, comments and HTML/PDF export; boards are local files.

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

Intelligence layer for AI that enables querying across revenue, errors, identity, and analytics layers in plain English, returning rendered charts and dashboards.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

Computes biorhythm values (physical, emotional, intellectual) and generates a PNG chart showing sine curves based on birth date and optional target date.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

Enables MCP clients to teach on a view-only local browser chalkboard by drawing equations, plots, molecules, diagrams, and science illustrations step by step, with snapshots and saved lessons.

An MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.

Turns an LLM into a Maltego CE investigation copilot, enabling AI-assisted OSINT investigations by building, analyzing, and exporting Maltego graph files.

Enables Claude to build and manage Zuar Portal HTML blocks through the Portal REST API, including discovering datasources, previewing data, and performing CRUD operations on blocks.

MCP server for air-Q air quality sensors, enabling querying and configuring devices on the local network.

Enables AI assistants and clients to generate Highcharts-based charts with schema validation, export to PNG/SVG/PDF, and natural language to chart conversion.

A review-only MCP server that provides tools for reviewing trade records against a live TradingView Desktop chart over Chrome DevTools Protocol on localhost.

Enables AI assistants to control Origin/OriginPro on Windows, including data import, worksheet editing, graphing, analysis, and figure export.

Enables local, private analysis of CSV and TSV files through natural-language agents such as Grok Bot and Cursor, offering file listing, profiling, SQL-like queries, summaries, group-bys, pivot tables, cleaning previews and generated charts. All computation happens on the user's own machine against an allowlisted folder, with no network calls, telemetry or data leaving the host.

Enables AI models to generate interactive visuals including charts, diagrams, UI mockups, and SVG graphics from plain text prompts. This Windows-based MCP server serves as an intermediary to bridge AI tools with visual output capabilities.

Enables conversational input of HR, financial, and qualitative organizational data to run a hypothesis-based diagnostic that computes metrics, benchmarks cohorts, assesses growth stages and competing hypotheses, and recommends actions. All processing stays on the user's machine and outputs a structured JSON result plus an offline HTML dashboard.

Enables AI agents to drive OpenFOAM end to end: cloning tutorials or custom cases, editing dictionaries, meshing and running solvers in the background, tracking convergence and job status, and analyzing results. It also renders flow images — slices, patches, streamlines, iso-surfaces and residual or force plots — back to the agent.

Enables Claude to drive Golden Software Surfer 13+ on Windows: interpolating XYZ data into grids, building structural contour maps, geological cross-sections and 3D surface views, and exporting documents to PNG, JPG, PDF, TIF, SVG, EMF or .srf projects. It also lists, saves and closes open Surfer documents.

Enables MCP clients to design and update an e-ink dashboard for a Kindle Paperwhite EY21, with widgets, live system metrics, and HTTP-based rendering.

Enables searching and analyzing over 3,400 datasets from the Serbian government open data portal, with built-in charting and data transformation tools.

Enables Excel automation via natural language, providing session-based workbook management, data manipulation, formulas, charts, and formatting through the Model Context Protocol.

Exposes phylogenetic tree validation, analysis, styling, export, and Java-based rendering as 21 MCP tools, 3 resources, and 2 prompts for AI assistants. Delegates parsing and rendering to the FigTreeKit kernel, returning reproducible CLI commands and structured artifacts.