"Open source MCP (Model Context Protocol) implementations" matching MCP servers:

Enables AI clients to query, aggregate, and visually inspect a live Autodesk Revit model, reading it without model-changing transactions by default. Model mutations are opt-in and require two explicit gates, with dry-run previews and verification.

Open, secure runtime that puts Revit, Rhino, Navisworks, and Power BI behind one MCP call center, enabling an AI agent to orchestrate them directly instead of manually dumping data between disconnected apps.

Enables AI assistants to read and create geometry in an open Cadwork 3D document via a local bridge, with queued sequential execution, write approvals, undo support, and a live dashboard for monitoring activity.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

Enables MCP clients to inspect and export OpenPencil .fig and .pen files directly from disk, supporting operations like info, tree traversal, XPath queries, linting, and conversion to various formats without the desktop app or CLI.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

Enforces agent design system compliance with tools to check guards, explain gaps, issue receipts, suggest fixes, and export audits.

Enables natural language control of Blender 3D through local AI models, allowing MCP clients to create, modify, and render scenes, apply materials, and execute Python code in Blender.

Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

Enables querying PCB and schematic data and driving DelphiScript automation in Altium Designer via MCP.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Enables AI assistants to control Adobe After Effects through the MCP protocol, including composition creation, layer management, and animation.

Enables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.

Enables natural language control of AutoCAD drawings via LLMs like Claude, supporting drawing, layer management, and SQLite-backed entity analysis.

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

An MCP server that simplifies Figma design data, generates code in multiple frameworks, and provides accessibility audits and drift detection, all using a free Figma Personal Access Token without a paid Dev Mode seat.