media MCP Server
An MCP server that lets Claude Code and other AI agents work through large PDFs without overflowing their context — search by meaning or keyword, read only the pages that matter, and cleanly pull out tables, images, and scanned text, even from multi-column and Japanese layouts.
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
1. Install the package
uvx pdf-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"pdf-mcp": {
"command": "npx",
"args": [
"pdf-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
understand a document. Includes `toc_entry_count` and inline TOC entries when the document has ≤50 bookmarks; larger TOCs return `toc_truncated: true` — use `pdf_get_toc` to retrieve the full outline.
`content_trust=True` for a `content_trust` block (`suspicious`, `hidden_text_runs`, `hidden_chars`, `injection_in_hidden`, `pages_flagged`, `signals`); add `detail=True` for per-span `spans`. |
the complete reference — every parameter, response shape, security contract, and example. For semantic-search model selection, see **[docs/embedding-models.md](docs/embedding-models.md)**.
The cheapest AI media API on the market. Generate images (Flux), music (AceStep), speech with voice cloning, transcribe video/audio, OCR, video generation, background removal, upscale, style transfer, and prompt enhancement — all through one unified API. Free $5 credit on signup.
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