"Understanding File Systems and Their Functions" matching MCP servers:

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.

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.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Renders an interactive pipeline DAG and test-harness dashboard inline in MCP hosts, showing node statuses, pass rates, costs, and latency from a JSON state file.

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.

Enables building, editing, reading and converting spreadsheets through file-in/file-out tools, including live formulas, tables, conditional formatting, charts and PivotTables. Supports xlsx, csv, tsv, json, html and pdf input and output on Windows, macOS and Linux.

Exposes science functions like generating random points and plotting sine waves as MCP tools.

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.

A lightweight MCP server for managing personal finances locally. It allows users to log transactions, view summaries, manage categories, and interact with their budget via any MCP-compatible LLM client.

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.

Build Power BI reports with natural language through an MCP server that connects AI assistants to Power BI's PBIR file format for creating pages, visuals, themes, and filters locally.

Enables automated data import, analysis, graphing, and project management for Origin/OriginPro through a hardened MCP interface with constrained file access and optional expert LabTalk mode.

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.

ai generate tableau file

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Connects AI clients to the Matih data platform, enabling SQL queries, table profiling, analytics, chart creation, and file uploads through MCP tools with OAuth/PKCE authentication.

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.

Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.

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.

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.