"File reading, writing, searching, analysis and interpretation" matching MCP servers:

Reverse-engineers design videos and images into structured frontend implementation specifications using vision LLMs and FFMPEG for frame-level analysis.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

Enables an MCP-capable AI client to drive a locally installed, licensed Autodesk Inventor through its COM API for local modeling tasks. It supports creating and updating a rectangular plate and a parametric quickchanger concept assembly, opening and inspecting parts and assemblies, and returning viewport previews.

Local MCP server inside 8 Autodesk apps (Revit, AutoCAD, Civil 3D, Advance Steel, Navisworks, Inventor, 3ds Max, Robot; 2023–2027): 480+ read/write actions, one-click setup for Claude, ChatGPT/Codex and Cursor. Commercial, free 14-day trial. Formerly HMK Pilot.

MCP server for AI-assisted Blender automation, providing layered tools for perception, declarative and imperative writing, and fallback operations.

An MCP server that lets AI agents drive FigJam boards through a local Figma plugin, bypassing API rate limits with 19 tools for reading, writing, and editing FigJam content.

Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.

Converts PNG, JPEG, or WebP bitmaps into sticker-ready SVGs from any MCP client, taking local paths, HTTPS URLs, or base64 input, optionally applying a preset and writing the result to a file while returning quality metrics. It also lists available artwork presets and retrieves the result of a conversion that was still running.

Enables an AI assistant to construct Garry's Mod builds from props based on text descriptions or reference photos, and save them as Advanced Duplicator 2 dupes. Supports searching models, reading dimensions, setting positions, angles, colors and welds, validating builds against a server prop allowlist before writing revision 4/5 files.

A security-first Tilemap MCP server for Tiled Map Editor, enabling safe inspection, creation, editing, validation, and preview of Tiled assets, with support for reading/writing TMJ/TSJ, programmatic generation, and visual previews.

Enables coding agents to interact with the currently open Figma file via local MCP tools, including reading the design, extracting nodes as PNG, React, HTML or CSS, editing the canvas when permitted, and sharing saved component sets.

A Sketch file processing MCP server that enables AI tools to analyze Sketch design files and generate code, with smart token optimization and 16 professional tools for design element discovery and analysis.

Enables reading, writing, drawing, and animating .aseprite pixel art and sprites natively in pure Python, including converting images to true pixel art, rigging and tweening characters, linting and comparing frames, and exporting GIFs or sprite sheets. It runs fast without launching Aseprite, keeps edits transactional with undo/redo, and includes a built-in web viewer for playback and review.

Provides schematic/PCB analysis, authoring, and SPICE simulation through MCP, enabling direct KiCad file manipulation and verification without requiring KiCad for reading.

Enables reading, analysis, and safe modification of DipTrace PCB designs via natural language, with live integration and offline XML support.

Enables AI agents to drive Adobe Lightroom Classic directly — searching and organizing catalogs, reading and writing the full set of develop parameters, building geometric and AI-generated masks (sky, subject, mountains, water, people), applying presets, and rendering previews, histograms, and exports. All capabilities are exposed as 167 MCP tools over a Lua plugin bridge, with write-confirmation sentinels so silently dropped edits surface as explicit errors.

Lets AI agents design alongside you on a live canvas by reading, writing, styling and inspecting real HTML/CSS designs, capturing pixel-accurate screenshots, exporting assets and PDFs, and managing design tokens, comments and files. It exposes the same 37 tool names, parameters and response shapes as Paper, so existing agent prompts and workflows run against a local canvas over Streamable HTTP or stdio.

Enables reading Figma design data through the Figma REST API — fetching files and nodes, rendering node images, listing image fills, styles and components, browsing team projects and project files, and reading or posting file comments. Authenticates with a Figma personal access token.

An MCP server that lets Claude read Figma file comments directly, with tools to list comment threads scoped to a frame or file and render images of pinned nodes.

Enables AI agents to drive a live Blender session over stdio, inspecting the scene graph, searching and calling operators, reading and writing RNA properties, rendering viewable images, and checkpointing or restoring the file across a multi-turn conversation. It also exposes gallery and scene-reset helpers so the agent can check its own work and start over cleanly.

Enables AI assistants to automate 2D architectural drafting and CAD file management, including DXF/DWG parsing, SVG/PNG/PDF rendering, wall extrusion to 3D STL meshes, room and beam analysis, block/script library access, and persistent depot storage via a REST API and MCP tools.

Lets AI agents use Paper's design tools — writing HTML, capturing screenshots, reading JSX, and creating files — by driving the Paper editor in a headless browser instead of requiring the desktop app. It serves these tools over stdio to any MCP client, such as Claude Code, Cursor, or Codex.

Enables AI hosts to interact with a browser CAD workbench through model-neutral local stdio or authenticated remote MCP tools, supporting command discovery, design-health analysis, and scoped previews while never reading local files or taking over open sessions.

Enables AI agents to inspect Figma design files by fetching file summaries, page structures, specific nodes, and rendered image previews, along with signed-in user details and file comments. It lets agents review design feedback and explore frames, components, and layers without downloading full node trees.

Provides resources, tools, and prompts for a Design System via MCP protocol, enabling component search, reading, and related component discovery.

Enables AI assistants to directly view, understand, and modify local Sketch/Figma design files, including writing code, applying semantic edits, and exporting assets, all through a local MCP server without uploading data.

Unofficial local MCP bridge for reading the currently open Figma file through a Figma plugin. Provides tools to inspect selection, file info, and export selected nodes as SVG/PNG.

Enables coding agents to query a workspace's design system before writing UI and validate generated code against the same system afterward, using configurable token and component sources.

Enables AI clients to drive Altium Designer by reading the active document context, editing schematics, PCBs, and component libraries, and managing live bridge sessions with automatic recovery and source-snapshot script deployment. It bundles three coordinated servers (a Python control bridge, a legacy Python bridge, and an independent Rust library file server) that can be installed and configured on Windows alongside a running Altium instance.

Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.