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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
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    Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.
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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.
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    MIT
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    Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.
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    40 PyPI
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    MIT
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    TableCharts MCP Server gives any LLM assistant the ability to instantly convert tabular data into beautiful, hosted, interactive dashboards. Simply provide JSON rows, raw CSV text, or a public URL (Notion page, Google Sheet, or Salesforce report), and get back a shareable dashboard URL plus an embeddable iframe code — all in one tool call. Supports 6 chart types: bar, line, area, pie, scatter, a
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    18 npm
    MIT
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    Enables natural-language (Chinese or English) querying of a socioeconomic survey microdata warehouse covering five survey programs and over a thousand tables, by exposing standard tools for exploring surveys and sections, semantically searching variable metadata, generating read-only SQL, computing weighted statistics, and rendering charts. Results, SQL, and tool calls are returned in-chat, and it can be attached to Claude Desktop or Claude Code as well as its bundled web interface.
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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.
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    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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    Local MCP server for YueShu Graph 5.3 enabling safe GQL validation and execution, schema discovery, and structured graph/chart results through Codex.
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    Enables agents to inspect open datasets, metadata, and calibrations in Gatan DM, then perform post-acquisition operations such as ROI statistics, intensity profiles, FFT, cropping, previewing, exporting, and bounded spectral or 4D-STEM analysis with traceable results.
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    MIT
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    Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.
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    MIT
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    Enables AI assistants to connect to YNAB budgets, providing tools for accounts, transactions, categories, payees, and analytics, including search, bulk operations, and delta sync.
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    AGPL 3.0
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    MCP server for accessing World Bank data, enabling indicator search, data retrieval, country comparisons, trend analysis, rankings, and chart generation.
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    MIT
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    Drives a local SCAPS-1D installation to design and edit devices, run J-V/QE/C-V simulations and batches, fit measured curves, and analyze results for thin-film and perovskite solar cells, including realism checks against physical limits.
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    MIT
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    Enables AI agents to drive IBM SPSS Statistics for statistical analysis and publication-quality chart generation through natural language, returning structured results and ensuring safe execution.
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    MIT
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    Enables AI assistants to run verified statistical and analytics computations—including hypothesis tests, A/B testing, descriptive summaries, and sample-size planning—directly on local CSV, TSV, Excel, and Parquet files of any size. Results include effect sizes, confidence intervals, plain-English interpretations, and assumption warnings, with optional independent checks.
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    473 npm
    MIT
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    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.
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    MIT
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    Enables Hermes agents to build and run auditable startup financial models, validate inputs, execute linked-statement scenarios, verify results, summarize outcomes, and perform sensitivity analyses through six finance tools.
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    MIT
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    Enables AI agents to run IBM SPSS Statistics on macOS for statistical analyses, generate paper-ready charts, extract structured results, and execute mediation/moderation analyses with safety controls.
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    MIT
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    Enables building wire-connected native schematics, visually checking them, editing values, and running native frequency/transient analyses plus symbolic formulas and plots, with results saved as CSV/PNG and openable in the separately installed application.
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    MIT
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    A local MCP server that enables agents to perform symbolic math, unit-aware physics calculations, numerical simulation, PDE solving, statistics, time-series and survival modeling, signal and wavelet analysis, optimization, plotting, data-file IO, and arbitrary Python execution. It exposes 65 fixed tools with a uniform JSON result envelope, writing large results and figures to a configurable local output directory.
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    MIT
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    Enables an agent to drive STATISTICA 12 through its COM interface, opening and editing .sta/.stw data files, writing formulas, and running built-in or arbitrary analysis modules (descriptives, correlation, t-tests, regression, time series, graphs) while returning results as tables or exported files. Supports both stateless batch calls and an "attach" mode that edits a live open STATISTICA window.
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    Apache 2.0
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    Provides easy access to Formula 1 data including championship standings, event info, season calendars, track visualizations, session results, and driver/constructor info via FastF1 and OpenF1 API.
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    MIT
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    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.
    MIT