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    Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.
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    5,547 npm
    205
    MIT
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    A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.
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    1
    MIT
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    Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.
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    MIT
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    MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
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    142 npm
    10
    MIT
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    A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.
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    16 npm
    Apache 2.0
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    Enables any MCP client to evaluate Wolfram Language code in a persistent local Mathematica or Wolfram Engine kernel, export results to common file formats, and inspect or manage kernel status without cloud APIs, API keys, or runtime dependencies.
    4
    MIT
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    A Model Context Protocol server for interacting with Lightdash, enabling AI assistants to discover data, create charts, and manage dashboards programmatically.
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    20 PyPI
    24
    MIT
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    Wraps a climate data-processing pipeline so agents can inspect the config schema and available sample CSVs, validate an inline JSON config, and run the pipeline to return a monthly summary table plus a rendered plot, with file access sandboxed to the data and outputs directories.
    4
    MIT
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    Enables assistants to read and analyze construction schedules like a scheduler: CPM, float, critical paths, DCMA 14-point, logic checks, update-to-update comparison, baseline variance, and S-curves from P6 XER and MS Project files.
    17
    MIT
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    Gives terminal coding agents a local browser canvas for rendering charts, tables, metrics, markdown, live widgets and sandboxed MCP App UIs that would otherwise reach them as raw JSON. Lets agents pose blocking visual multiple-choice questions and read back the user's clicks, selections and an animated architecture map of file activity.
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    33 npm
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    MIT
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    Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.
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    5 npm
    ISC
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    Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.
    11
    MIT
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    An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.
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    119 npm
    12
    MIT
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    Enables headless control of DHI MIKE Zero, including launching and batch-running simulations, monitoring job progress and logs, and reading/plotting simulation results from DFS and RES1D files.
    15
    MIT
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    An MCP server that provides an LLM with access to R's statistical toolkit including hypothesis tests, regression, psychometrics, survival analysis, time series, and plots through a persistent R session.
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    MIT
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    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.
    9
    MIT
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    MCP server that lets Claude, Cursor, or any MCP-compatible client drive Sheepit projects — enabling campaign management, destination configuration, dashboard creation, and insights queries directly from a chat interface.
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    25 npm
    1
    MIT
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    Enables an AI assistant to load, query and edit a YAML or JSON graph file, with tools for adding, editing and removing nodes and edges, managing reusable styles and graph-level properties, and saving changes. Every change is written to the file immediately, so the same graph can be viewed and edited live in the companion web app.
    14
    MIT
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    A Model Context Protocol server providing mathematical and scientific computing capabilities via NumPy, pandas, SciPy, and Matplotlib, with 19 tools for linear algebra, statistics, numerical methods, data processing, and plotting.
    19
    MIT
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    Enables AI assistants to compile distribution feeders, run power flow, voltage and thermal violation checks, short-circuit and Thévenin impedance studies, hosting capacity and QSTS analyses, and add or edit elements, through 20 typed tools that return structured JSON or Markdown with the inputs that produced the results.
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    MIT
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    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.
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    132 npm
    MIT