Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
PDF reader for vision LLMs. Auto-detects text corruption and switches to image mode.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pdf4vllm": {
"command": "uvx",
"args": [
"pdf4vllm-mcp"
]
}
}
}Run this in your terminal
claude mcp add pdf4vllm -- uvx pdf4vllm-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pdf4vllm": {
"command": "uvx",
"args": [
"pdf4vllm-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"pdf4vllm": {
"type": "stdio",
"command": "uvx",
"args": [
"pdf4vllm-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account PyJudge, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
PDF reading MCP server optimized for vision LLMs.
한국어
| 방식 | 문제점 |
|---|---|
| 텍스트 추출 | 인코딩 깨짐 → 쓰레기 출력, 이미지-텍스트 순서 뒤섞임 |
| 이미지 변환 | 토큰 폭발 (특히 페이지 많을 때) |
pdf4vllm은 PDF가 지저분하다고 가정합니다.
pip install pdf4vllm-mcp
uvx pdf4vllm-mcp
git clone https://github.com/PyJudge/pdf4vllm-mcp.git
cd pdf4vllm-mcp python scripts/install_mcp.py
또는 직접 설정 (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "pdf4vllm": { "command": "/python/경로", "args": ["/pdf4vllm-mcp/경로/src/server.py"] } } }
| 도구 | 설명 |
|---|---|
list_pdfs | PDF 파일 찾기 (glob 패턴 name_pattern 지원) |
read_pdf | PDF 내용 블록으로 추출 |
grep_pdf | PDF 내 텍스트 검색 (pdfgrep 설치 필요) |
| 모드 | 설명 |
|---|---|
auto (기본) | 텍스트 추출 시도 → 손상 감지 시 이미지로 전환 |
text_only | 텍스트/표만 추출, 이미지 없음 |
image_only | 페이지를 이미지로만 렌더링 |
| Approach | Issue |
|---|---|
| Text extraction | Encoding corruption → garbage output, mixed text-image ordering |
| Image conversion | Token explosion (especially with many pages) |
pdf4vllm assumes PDFs are messy.
PDF Input
↓ Corruption Detection (pdfminer.six + pattern analysis) ↓ ┌─────────────┬─────────────┐ │ Corrupted │ Clean │ │ → Image │ → Text + │ │ only │ Tables + │ │ │ Images │ └─────────────┴─────────────┘ ↓ Ordered Blocks (JSON)
pip install pdf4vllm-mcp
uvx pdf4vllm-mcp
git clone https://github.com/PyJudge/pdf4vllm-mcp.git
cd pdf4vllm-mcp python scripts/install_mcp.py
Or manually edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "pdf4vllm": { "command": "/path/to/python", "args": ["/path/to/pdf4vllm-mcp/src/server.py"] } } }
Create .mcp.json in your project:
{
"mcpServers": { "pdf4vllm": { "command": "uvx", "args": ["pdf4vllm-mcp"] } } }
| Tool | Description |
|---|---|
list_pdfs | Find PDF files with glob filtering (name_pattern) |
read_pdf | Extract PDF content as ordered blocks |
grep_pdf | Search text in PDFs using pdfgrep (requires pdfgrep installed) |
| Mode | Description |
|---|---|
auto (default) | Try text extraction → switch to image if corrupted |
text_only | Text/tables only, no images |
image_only | Render pages as images only |
{
"pages": [ { "page_number": 1, "content_blocks": [ {"type": "text", "content": "..."}, {"type": "table", "content": "| A | B |"}, {"type": "image", "content": "[IMAGE_0]"} ] } ] }
When text is corrupted:
{
"page_number": 2, "content_blocks": [], "text_corrupted": true, "page_image": "[IMAGE_1]" }
config.json or environment variables:
{
"max_pages_per_request": 10, "max_image_dimension": 842, "page_image_dpi": 100 }
export PDF_MAX_PAGES=20
export PDF_PAGE_IMAGE_DPI=150
pip install pdf4vllm-mcp[test]
python test_server.py
MIT