"Understanding File Structures" matching MCP servers:

Automatically generates borehole structure diagrams from well data, supporting multiple well types and returning simplified image paths to reduce token usage.

A Model Context Protocol (MCP) server that exposes tools for exploring and querying SQLite and PostgreSQL databases. It allows Large Language Models (LLMs) to inspect table structures, perform statistical profiling, generate entity-relationship diagrams, and execute queries safely.

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 AI assistants to create and edit Office documents, presentations, and spreadsheets, as well as generate diagrams, charts, citations, and research project structures.

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.

Transforms markdown documents into immersive 3D visualizations using semantic analysis and spatial layout, enabling navigable knowledge structures.

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

ai generate tableau file

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.

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.

Consolidated MCP server exposing 161 tools across 9 groups to manage a layered data platform (financial, economic, statistical) backed by a single SQLite file, with data fetching delegated to an upstream semantic fetcher.

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.

Enables creating and iterating on animated SVG diagrams from text input, photos of sketches, and YAML specifications, with support for shapes, connections, SMIL animations, and file output.

An MCP server that generates Excalidraw diagrams to visualize algorithm execution step-by-step, supporting multiple data structures and integration with AI assistants.

Enables AI assistants to perform Excel file operations such as reading, writing, formatting, and chart creation through the Model Context Protocol.

Enables AI agents to drive a persistent, isolated ParaView session for scientific visualization: creating and editing spheres, clipping with planes, importing single-file VTI/VTP/VTU datasets, extracting contours, exporting verified datasets, saving native PVSM states, and rendering display-backed PNG previews. All operations are confined to a single operator-owned workspace on a Linux-only, display-backed host, with no attachment to existing GUI pipelines.

MCP server for creating, editing, and evaluating Power BI (.pbix/.pbit) files without Power BI Desktop. Supports 101 tools including report creation, data sources, DAX measures, and file manipulation.

MCP server for Power BI — local PBIX file analysis, cloud API operations, report export, and semantic model extraction from Power BI Desktop.