File AI vs Pdf Card MCP
A side-by-side look at the File AI and Pdf Card MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose File AI for file systems work as a local process; choose Pdf Card MCP for file systems as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose File AI when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- You want tools like
doc_analyze, doc_read, doc_search.
Choose Pdf Card MCP when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
pdf_path, output_path, title.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | File Systems | File Systems |
| Quality signal | 49/100 · Fair | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 3 | 2 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 5 | 13 |
| Full listing | View File AI | View Pdf Card MCP |
Tools & capabilities
File AI tools 5
doc_analyzeparse a local file and cache a document index.doc_readread blocks, chunks, or anchors from an existing index or path.doc_searchsearch cached content with source anchors.doc_contextretrieve nearby blocks around an anchor or query.doc_list_formatslist File Viewer core registry formats, all supported extensions, renderer capabilities, and File AI extractor coverage.
Pdf Card MCP tools 13
pdf_pathlocal PDF path.output_pathoptional HTML output path.titleoptional title override.standalonedefaults to `true`; asset-folder output is reserved for a later release.ocroptional OCR fallback if `pytesseract` is installed.max_pagesoptional processing limit.themedefaults to `soft`.style_engine`fixed`, `pdf`, or `sampling`; defaults to `pdf`. `fixed` preserves thetable_engine`auto`, `pdfplumber`, or `gmft`; `auto` uses `gmft` when installed.text_engine`char_geometry` or `pdfplumber_words`; defaults to `char_geometry` sopostprocess_engine`none` or `sampling`; defaults to `none`. When set to `sampling`,model_cache_diroptional cache directory for local ML table model weights.- +1 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
File AI
{
"mcpServers": {
"file-ai": {
"command": "npx",
"args": [
"-y",
"@flyfish-dev/file-ai"
]
}
}
}
Pdf Card MCP
{
"mcpServers": {
"velyan-pdf-card-mcp": {
"command": "uvx",
"args": [
"--from",
"pdf-card-mcp",
"pdf-card-mcp-server"
]
}
}
}
Frequently asked questions
File AI is categorized under File Systems and uses a local stdio subprocess. Pdf Card MCP belongs to File Systems and uses a local stdio subprocess. Pick File AI for file systems work and Pdf Card MCP for file systems.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
File AI has no declared pricing — check the project's own site. Pdf Card MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add file-ai and velyan-pdf-card-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, File AI has a quality signal of 49/100 (Fair) with 1 views, 0 installs and 3 GitHub stars. Pdf Card MCP has 53/100 (Good) with 2 views, 0 installs and 2 GitHub stars.