ai-sdlc-figma-mcp-server
Provides read-only tools to interact with the Figma REST API, enabling AI agents to retrieve file metadata, list top-level frames, get node details, fetch comments, and export node image URLs.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
ai-sdlc-figma-mcp-server
A small, read-only MCP server that wraps the Figma
REST API, so an AI SDLC agent gets real MCP tools instead of hand-constructing
authenticated HTTP calls. Built for the
ai-sdlc-bootstrap's figma provider's
mcp_rest connector, but has no dependency on the bootstrap itself — the only
project-local file it reads is a consuming project's ai-sdlc.yml.
No Figma Desktop, no Dev Mode, no http://127.0.0.1 dependency — just a
FIGMA_ACCESS_TOKEN and providers.figma.target.file_key, read live from the calling
project's ai-sdlc.yml at call time (never baked into .mcp.json).
Read-only: every tool issues a GET, nothing else exists to call.
Tools
figma_get_file_metadatafigma_list_top_level_framesfigma_get_nodefigma_get_commentsfigma_export_node_image_url
Related MCP server: figma-mcp
Usage
Run directly via npx — this is how a generated .mcp.json invokes it:
{
"mcpServers": {
"figma": {
"type": "stdio",
"command": "npx",
"args": ["-y", "github:vjackk/ai-sdlc-figma-mcp-server"],
"env": {
"FIGMA_ACCESS_TOKEN": "${FIGMA_ACCESS_TOKEN}"
}
}
}
}Requires ai-sdlc.yml to exist somewhere at or above the process's working directory,
with:
providers:
figma:
enabled: true
target:
file_key: <figma-file-key>Versioning
Tagged releases (vX.Y.Z) are what the ai-sdlc-bootstrap's provider template should
pin to, once this repository has any — npx github:owner/repo#<tag> resolves a
specific version; the bare form above tracks the default branch.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
The Figma MCP server brings Figma design context directly into your AI workflow.
Official Fibery MCP server: query and update your workspace from any AI client via OAuth.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
MCP server that lets AI assistants use all OneSchema features exposed via the public API.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP (Multi-Agent Conversation Protocol) Server that enables interaction with the Figma REST API, auto-generated using AG2's MCP builder.1-
- AlicenseNot gradedqualityDmaintenanceRead-only Figma MCP server that enables design-to-code workflows by talking to the Figma REST API with a personal access token, for use with Claude Code and GitHub Copilot.3,040 npmMIT
- FlicenseNot gradedqualityDmaintenanceMCP server for the Figma API. Lets AI agents fetch designs, nodes, and rendered images from Figma.3,040 npm-
- AlicenseNot gradedqualityBmaintenanceLocal MCP server exposing Figma REST API tools to AI agents, enabling file reads, comments, variables, and other resource operations. Works with personal access tokens and integrates with Claude, Cursor, Codex, and more.MIT