"Frontend Development Tool for Detecting Errors" matching MCP servers:

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Exposes geometric collector tools over HTTP JSON-RPC so AI clients can compute bounding boxes, fetch buildings, DEM, LCZ, cadastre, roads and water data, and generate Plotly HTML visualizations.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.

Enables Claude to read a project's FastStats metrics and then design, validate against real data, and publish charts, dashboards, event markers, and custom data sources. Every write is previewed and dry-run first, with read-only mode and confirmation guards for destructive actions.

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

Enables MCP-compatible clients to query advertising data, analyze spend, conversions, and audiences, compare campaigns, generate dashboards, and manage campaigns with optional read-only safeguards.

Provides a local stdio MCP interface for Apache ECharts infrastructure, enabling language models and agents to access chart-related tools and resources.

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through MCP protocol.

Enables AI agents to query Google Trends for search-interest signals, returning stable JSON envelopes with calibrated searches/day estimates, relative comparisons across keywords, related and rising queries, regional interest, and country-level Trending Now data. It also surfaces explicit status and error codes so agents can distinguish partial or failed results from real numbers.

MCP server for Microsoft Power BI and Fabric, enabling Claude to discover workspaces, semantic models, generate and execute DAX queries, and retrieve report metadata via device-code authentication.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

Enables AI clients to discover datasets and author dashboards in Dashboard Builder through natural language, while preserving per-user permissions and audit trails via a secure API-key gated gateway.

Provides Mermaid code validation and iterative line-level repair to fix syntax errors in LLM-generated Mermaid diagrams, ensuring consistency with the frontend parser.

Converts DataFusion physical execution plans into editable Excalidraw diagrams or PNG images via a single visualize tool.

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

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

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.

Exposes a time series forecasting model as an MCP tool with built-in audit logging for every call, enabling trustworthy autonomous forecasting.

Enables Magic: The Gathering players to analyze deck lists using real Scryfall oracle text, detecting synergies and conflicts. Generates three viewable documents: an interactive synergy map, a detailed guide, and a printable cheat sheet.

An MCP server and CLI tool that allow LLMs to interact with CERN ROOT files.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

A local Python MCP server for AI-assisted development of Yandex DataLens dashboards, enabling inspection, planning, validation, and guarded application of changes.

Connects QGIS to any MCP-speaking AI client so the agent can drive QGIS directly through 125 tools for layer management, feature editing, processing algorithms, map rendering, styling, layouts and atlases, cross-layer SQL, plugin development, and system management. A companion QGIS plugin listens over a local socket, letting agents list instances, run long processing jobs in the background, and write results back into the active project.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

A local MCP server that enables AI assistants to control Origin/OriginPro on Windows via Python automation, with adaptive path detection to resolve import errors.

twilize is a Model Context Protocol (MCP) server and Python toolkit for generating Tableau Desktop workbook files (.twb / .twbx) from code or AI-driven tool calls

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Enables AI assistants to validate, simulate and translate contingency-dsl reinforcement schedules, converting between DSL expressions and Method-section prose and summarizing or analyzing recorded session logs without hand-writing FR/VI generators. Runs simulations on a virtual clock for reproducible results and returns structured output for every tool.

Enables MCP clients to connect through OAuth 2.1/PKCE to a hosted trading-assistant surface for read-only system context, intelligence, risk-preview, advisory, and charting data, with scoped chart, write, and execute capabilities gated by account entitlements and confirmation flows.

Enables MCP clients to validate a JSON report definition and render it into a PDF, Excel, Word, HTML, or CSV file written to disk, returning the output path and size rather than the file's bytes. Errors are reported as fixable problems naming the exact path at fault, and all host-level limits stay under the launching host's control.

Audits local Tableau workbooks for unused assets, duplicate worksheets, and dashboard weight, providing cleanup reports and health summaries.

An MCP server for interacting with Microsoft PowerBI REST API, providing tools for data cleaning, transformation, analysis, and visualization within PowerBI.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

Enables natural language quantitative analysis for US and Indian equities, including trade plans, portfolio optimization, backtests, and price alerts using real market data.