faktry

io.github.faktryv0.1.1Updated Oct 6, 2026

Official faktry MCP server: generate and edit images, video, audio, and PDFs.

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Overview

AI-generated overview

Gives an assistant over 70 faktry tools to generate and edit images, video, audio, PDFs, and 3D assets, with async job polling and a saved media library.

What it does
Exposes the faktry media toolkit to MCP clients: text-to-image generation, editing, inpainting, upscaling, background removal, and compositing; video generation, avatars, motion control, subtitles, and reframing; speech synthesis, voice cloning, music and sound generation, transcription, and mixing; PDF creation and manipulation; and 3D asset generation. Long-running jobs return a job_id that is polled with faktry_job_status until a result_url is available. Utility tools cover credit balance, library listing, and saving results for reuse.
When to use it
Useful when you want media production inside a chat client rather than separate tools: product shots, UGC-style videos with voiceover and subtitles, voice cloning, PDF assembly, or 3D assets. It suits workflows that already use a faktry account and are comfortable with asynchronous job polling.
Requirements
A remote endpoint at faktry.ai/api/mcp, or the npm bridge @faktry/mcp run with npx, which requires Node 18 or later. Authentication is either browser OAuth or an API key supplied as the FAKTRY_API_KEY environment variable or an Authorization Bearer header. A faktry account with credit balance is needed, and network access to the hosted service.
Before you install
Usage is billed against your faktry credit balance, so generation and editing calls spend money; check balance with faktry_credits. The FAKTRY_API_KEY secret is shown only once at creation and should be kept out of shared configs. Voice cloning and avatar tools process voice or likeness data, and generated or edited media is uploaded to and stored by the remote service, including anything saved to the library.

Installation

In SourceWeft

  1. Open faktry in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "faktry-mcp": {
      "type": "http",
      "url": "https://faktry.ai/api/mcp"
    }
  }
}

README

[faktry]

faktry MCP

Bring the whole faktry media stack into the tools you already use.
Generate and edit images, video, audio, and PDFs from any MCP-compatible client.

[License: MIT] [Docs]

Install · Tools · Examples · Troubleshooting

[faktry platform]


The faktry MCP server exposes the full faktry toolkit — over 70 tools spanning image, video, audio, PDF, and 3D generation and editing — to any client that speaks the Model Context Protocol. Generate a product shot, cut it into a UGC-style video with a voiceover, subtitle it, and export a thumbnail sheet, all without leaving the chat.

  • [Image] Hosted, remote. Connect to https://faktry.ai/api/mcp — no local server to run. stdio-only clients can use the npx -y @faktry/mcp bridge.
  • OAuth or API key, your choice. One-click connect from Claude.ai, Claude Desktop, Cursor, and Hermes, or drop a static API key into any config-based client.
  • Async by default. Long-running jobs (video, some image/audio) return a job_id immediately; poll faktry_job_status until it's ready.
  • A library that remembers. Save any result with faktry_library_save and pull it back into a later session with faktry_library_list.
  • You pay through your faktry account. Usage draws down your existing credit balance — check it anytime with faktry_credits.

Install

One-click / OAuth

These clients handle authentication for you — paste the URL, sign in, approve.

MCP Server URL:

https://faktry.ai/api/mcp
Claude.ai
  1. Open Claude.ai → Settings → Integrations.
  2. Click Add MCP Server and paste the URL above.
  3. Claude.ai redirects you to faktry — sign in and click Approve.
  4. Done — Claude.ai stores the token automatically.
Claude Desktop
  1. Open Claude Desktop → Settings → Developer → MCP Servers.
  2. Click Add Server and paste the URL above.
  3. A browser window opens — sign in to faktry and click Approve.
  4. Restart Claude Desktop if tools don't appear immediately.
Cursor
  1. Open Cursor → Settings → AI → MCP Servers.
  2. Click Add MCP Server and paste the URL above.
  3. Cursor detects OAuth and opens a browser login window.
  4. Sign in to faktry, approve access, and return to Cursor.
Hermes Agent
  1. Open Hermes Agent → Settings → MCP Servers.
  2. Click + and paste the URL above.
  3. Hermes opens a browser login — sign in to faktry and approve.
  4. Toggle the server on — tools appear immediately.
ChatGPT Desktop (Business / Enterprise / Edu only)
  1. Enable Developer Mode in Settings → Beta Features.
  2. Go to Settings → MCP Servers → Add Server.
  3. Paste the URL above and follow the browser OAuth flow.

Config file / API key

Create an API key at faktry.ai/api/keys first, then add faktry to your client's config. Replace YOUR_API_KEY_HERE with your real key — it's only shown once when created.

Claude Code

Add to .mcp.json (project) or ~/.claude.json (user):

json
{  "mcpServers": {    "faktry": {      "type": "http",      "url": "https://faktry.ai/api/mcp",      "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" }    }  }}

Picked up automatically — no restart needed.

VS Code (Copilot)

Add to .vscode/mcp.json (workspace) or via Settings → MCP Servers:

json
{  "servers": {    "faktry": {      "type": "http",      "url": "https://faktry.ai/api/mcp",      "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" }    }  }}
Windsurf

Edit ~/.codeium/windsurf/mcp_config.json (%USERPROFILE%\.codeium\windsurf\mcp_config.json on Windows) — note Windsurf uses serverUrl, not url:

json
{  "mcpServers": {    "faktry": {      "serverUrl": "https://faktry.ai/api/mcp",      "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" }    }  }}

Restart Windsurf to activate the tools.

Continue.dev

Add to ~/.continue/config.yaml:

yaml
mcpServers:  faktry:    type: http    url: https://faktry.ai/api/mcp    requestOptions:      headers:        Authorization: "Bearer YOUR_API_KEY_HERE"

Continue.dev reloads automatically.

Codex CLI

Add to ~/.codex/config.toml:

toml
[mcp.servers.faktry]type = "http"url = "https://faktry.ai/api/mcp"
[mcp.servers.faktry.headers]Authorization = "Bearer YOUR_API_KEY_HERE"

Verify with codex mcp list.

stdio clients (npx) — Zed, older Claude Desktop configs, and anything without remote MCP

The @faktry/mcp package is a thin stdio bridge to the hosted server. Requires Node 18+.

Generic form:

bash
FAKTRY_API_KEY=YOUR_API_KEY_HERE npx -y @faktry/mcp

Claude Desktop (claude_desktop_config.json) and most other mcpServers clients:

json
{  "mcpServers": {    "faktry": {      "command": "npx",      "args": ["-y", "@faktry/mcp"],      "env": { "FAKTRY_API_KEY": "YOUR_API_KEY_HERE" }    }  }}

Zed (settings.json, %APPDATA%\Zed\settings.json on Windows):

json
{  "context_servers": {    "faktry": {      "source": "custom",      "command": "npx",      "args": ["-y", "@faktry/mcp"],      "env": { "FAKTRY_API_KEY": "YOUR_API_KEY_HERE" }    }  }}

Leave FAKTRY_API_KEY out to sign in through the browser (OAuth) instead.

Kilo Code
  1. Open the Kilo Code extension settings → MCP Servers.
  2. Add a new server using the same JSON snippet as Claude Code above.
  3. Replace YOUR_API_KEY_HERE with your actual key.
Other MCP clients

Add a remote HTTP server pointing at https://faktry.ai/api/mcp with header:

Authorization: Bearer YOUR_API_KEY_HERE

Full per-client snippets and paths are also generated at faktry.ai/mcp.


Tools

Your client picks which tool to call based on your prompt — you don't need to invoke them by name. faktry exposes 70+ tools across five categories:

CategoryExamplesWhat it covers
faktry_image_*generate, edit, inpaint, outpaint, upscale, removebackground, effects, collage, watermark, smartcropText-to-image, editing, upscaling, background removal, compositing
faktry_video_*text2video, image2video, avatar, motioncontrol, subtitle, reframe, stabilize, upscale, scenedetectGeneration, editing, avatars, motion control, subtitles, reframing
faktry_audio_*generatespeech, clonevoice, generatemusic, generatesound, mix, transcribe, trimSpeech synthesis, voice cloning, music/SFX generation, mixing
faktry_pdf_*create, merge, split, compress, extract, mdconvertPDF creation and manipulation
faktry_3d_*image23d, text23d3D asset generation from images or text

Plus utility tools:

ToolWhat it does
faktry_job_statusPoll an async job by job_id until it's completed, returning result_url
faktry_creditsCheck credit balance and current-month usage
faktry_library_listBrowse previously saved media assets
faktry_library_saveSave a result URL to the library for reuse across sessions

The async job pattern

Most generation tools (video, some image/audio) are async:

  1. Call the generation tool → receive a job_id.
  2. Poll faktry_job_status with that job_id every few seconds.
  3. When status is completed, the response contains result_url.
  4. Optionally persist it with faktry_library_save.

Example prompts

Try these once faktry is connected:

Generate a studio product shot of a matte black wireless speaker on awhite background, then upscale it to 4K.
Turn this product image into a 9:16 UGC-style video with a voiceoverreading the description, and add subtitles.
Remove the background from this photo, then composite it onto agradient backdrop.
Clone this voice sample and generate a 30-second narration readingthis script.
Check my faktry credits, then show me what's in my library.

Troubleshooting

Tools don't appear after connecting
  • Claude.ai / Desktop: Settings → Integrations (or Developer → MCP Servers), confirm faktry shows as connected. Remove and re-add if it failed silently — make sure pop-ups aren't blocked so the OAuth window can open.
  • Claude Code: claude mcp list should show the server.
  • Codex: codex mcp list should show faktry. Start a new session after adding.
  • Quick smoke test: ask your client "check my faktry credits".
Authentication or API key errors
  • For config-file clients, confirm YOUR_API_KEY_HERE was replaced with a real, active key from faktry.ai/api/keys — keys are shown only once at creation.
  • For OAuth clients, disconnect and reconnect the connector to redo the flow.
A generation keeps loading

Video renders and some audio/image jobs take longer than a plain image generation. The tool returns a pending job_id immediately — keep polling faktry_job_status until it reports completed.


Links


License

MIT © faktry

Source: README.md at commit 6411bc2

Tools

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Version history

1
  1. v0.1.1LatestOct 6, 2026