📡 MCP Radar

xuzhougeng/ScientificFigureLibrary

Standard MCP server and MCP App for scientific figure templates from FigureYa and user-supplied references

⭐ 14 stars
⑂ 0 forks
TypeScript
momentum ▲ 23.3
created 2026-07-29
on radar since 2026-07-30
star trend 9 → 14 since 2026-07-30
View on GitHub ↗

About ScientificFigureLibrary

Scientific Figure Library is a standard MCP server and MCP App for finding, importing, and materializing scientific figure references. It is not tied to Wisp: any stdio MCP host can use it. The included Wisp manifest and Skill are a thin optional adapter.

The first release has two template sources:

- FigureYa — 319 searchable modules with local thumbnails and commit-pinned archives. - User Library — figures and plotting code copied from paths supplied by the MCP host.

The host Agent analyzes an uploaded image, a natural-language request, or a data file. It builds a compact retrieval intent, searches both sources, inspects the top preview, and decides whether that candidate actually matches before materializing anything. The catalog score orders retrieval candidates; it is not a recommendation or visual-similarity score.

For image input, the Agent must first inspect the user's image with the host's viewimage, then inspect the top candidate with figurelibrarypreview. The final recommendation includes an Agent-produced visual pass/reject score covering chart family, layout, axes/geometry, encodings, and annotations/style, plus a separate data-compatibility verdict.

The server copies and extracts reference files but never executes plotting code or dependency installers. It verifies imported user files with SHA-256 and verifies FigureYa archives against the pinned catalog.

Materialization errors are terminal. figurelibrarymaterialize returns a STOP: error that instructs the Agent to report the exact failure and wait for the user. The Agent must not switch extraction modes,

From the project README.

Maintaining this server?

Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:

[![On MCP Radar](https://mcp.liqiwa.com/badge.svg)](https://mcp.liqiwa.com/s/xuzhougeng--ScientificFigureLibrary.html)

Related MCP servers

XiaoDuoYa/codex-with-chatgpt

ChatGPT thinks. Codex works. Use ChatGPT as the planning brain while keeping the Codex harness.

⭐ 2301TypeScript
shinthink/blitzstrike

⚡ Blitz Strike — a universal MCP penetration-testing toolbelt. Structured methodology: reconnaissance & attack-surface mapping, source-to-sink analysis, and live validation. 57 escalation chains, 130-

⭐ 634TypeScript
0xwilliamortiz/openclaude-improved

runs anywhere. uses anything

⭐ 563TypeScript
halofyai/halofy

Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.

⭐ 440TypeScript
CaptureGrubEnchant/SolidWorks

SolidWorks MCP Server connects an AI assistant to a running SolidWorks instance. Sketch, extrude, fillet, export STEP/STL, generate macros.

⭐ 385TypeScript
arielshad/3d-asset-server

3d assets api and mcp

⭐ 276TypeScript

📬 Get the weekly radar in your inbox

The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.