pulsemcp verified Safe content atomic mcp-remote

Figma Chunked

Figma MCP Server with Chunking provides a memory-efficient interface to the Figma API, designed to handle large Figma files by breaking operations into manageable chunks with pagination support. It features configurable memory limits, node type filtering, progress tracking, and resume capabilities for interrupted operations. The implementation includes tools for retrieving file data, listing files, accessing version history, comments, components, styles, and specific nodes, making it particularly valuable for designers and developers who need to programmatically access and analyze complex Figma designs without memory constraints.

Cognium trust score

93%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · 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/archimedescrypto/figma-mcp-chunked
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Figma Chunked 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"