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  3. File AI
File AI logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:01:22 PM

File AI

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).

Agent-ready local document context with stable anchors.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "file-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@flyfish-dev/file-ai"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

File AI

Read-only document awareness MCP server for agents. File AI uses Flyfish File Viewer core as the source of truth for format recognition, then turns local files into a stable profile, anchors, blocks, chunks, outline, search results, and contextual snippets so an agent can understand document content without reverse-engineering PDF, OOXML, spreadsheet, email, or archive internals.

MCP Registry name: io.github.flyfish-dev/file-ai

Install

Use it directly with npx:

Terminal
npx -y @flyfish-dev/file-ai

Or install it globally:

Terminal
npm install -g @flyfish-dev/file-ai
file-ai --transport stdio

MCP Client Config

Stdio:

config.json
{
  "mcpServers": {
    "file-ai": {
      "command": "npx",
      "args": ["-y", "@flyfish-dev/file-ai"]
    }
  }
}

Streamable HTTP:

Terminal
npx -y @flyfish-dev/file-ai --transport http --host 127.0.0.1 --port 8765

Endpoint:

text
http://127.0.0.1:8765/mcp

Tools

  • doc_analyze: parse a local file and cache a document index.
  • doc_read: read blocks, chunks, or anchors from an existing index or path.
  • doc_search: search cached content with source anchors.
  • doc_context: retrieve nearby blocks around an anchor or query.
  • doc_list_formats: list File Viewer core registry formats, all supported extensions, renderer capabilities, and File AI extractor coverage.

Resources

  • doc://{indexId}/profile
  • doc://{indexId}/outline
  • doc://{indexId}/chunks

Supported Files

File AI recognizes formats through @file-viewer/core/headless, currently covering 206 registered extensions. profile.format is therefore aligned with the same renderer selection used by Flyfish File Viewer.

Content extraction is a separate layer. File AI provides structured awareness for text/code/Markdown/JSON, PDF text, DOCX, XLSX/CSV, PPTX, EML, and archive manifests. Other File Viewer renderer-only formats such as CAD, 3D, media, image, geospatial, drawing, ebook, and data assets are still recognized in profile.format; when no structured text extractor exists yet, File AI returns a profile plus best-effort metadata/text and explicit warnings in profile.warnings and profile.extraction.

Every content block carries an anchor such as a page, slide, worksheet, row range, nested path, or byte/text location. Agents should cite returned anchorId values when making document-grounded claims.

Development

bash
pnpm install
pnpm build
pnpm test
pnpm validate:skill

Run locally:

bash
pnpm dev -- --transport stdio
pnpm dev -- --transport http --port 8765

Publishing

The package includes:

  • npm metadata for @flyfish-dev/file-ai
  • MCP Registry metadata in server.json
  • GitHub Actions workflow .github/workflows/publish-mcp.yml

Release flow:

bash
git tag v0.1.0
git push origin v0.1.0

The workflow publishes the npm package first, then publishes io.github.flyfish-dev/file-ai to the official MCP Registry through GitHub OIDC. The repository must have an NPM_TOKEN secret that can publish @flyfish-dev/file-ai.

The server is read-only. It does not mutate source documents.

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about File AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "file-ai": { "command": "npx", "args": ["-y", "File AI"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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