pulsemcp scanned Safe content atomic mcp-remote

Figma

Figma MCP Server enables AI assistants to interact with Figma design files through a WebSocket-based communication protocol. Built with Python using FastMCP, it provides tools for retrieving document information, manipulating nodes, scanning text elements, and applying design changes. The server connects to a Figma plugin via WebSockets, allowing bidirectional communication where commands from the AI are translated into Figma API operations. Key features include document inspection, node manipulation, text content modification, and component management - making it particularly useful for AI-assisted design workflows, automated design updates, and collaborative design processes.

Cognium trust score

62%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/kdoronin/figma_mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Figma from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"