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PopNx MCPMCP servers for people who use AI · explained in plain words

ReelsFarm

by mateohysaversion 2.0.1i★ –iRuns in the cloud
Registry nameio.github.mateohysa/reelsfarm

Install

Overview

Description from the maker (original English)

Create, manage, schedule, and publish short-form user-generated content through AI agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.reelsfarm.com/mcp

Run this in your terminal

claude mcp add --transport http reelsfarm https://mcp.reelsfarm.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "reelsfarm": {
      "url": "https://mcp.reelsfarm.com/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "reelsfarm": {
      "type": "http",
      "url": "https://mcp.reelsfarm.com/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.reelsfarm.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mateohysa, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 18659 servers in this category
  • Published to the registry more recently than 21% of the other 18659 servers in this category
  • Basic checks equal to or better than 100% of the other 18659 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ReelsFarm safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, alalanet — check before you pay

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

README from the maker

Open the README

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.

@reelsfarm/mcp-client

Typed TypeScript SDK and CLI for the ReelsFarm MCP server.

Version 3.11

SDK 3.11.0 matches ReelsFarm MCP server 3.11.0 and contract 2026-10-30.1. It tracks all 177 public tools. Mutation and generation results include explicit ReelsFarm provenance, execution state, and an assetCreated completion signal.

Server 3.11 lists the same tools in about a quarter of the old size. Confirmation tools take only confirmationId, so a dry-run client no longer calls them. Read MIGRATION.md for the other changes.

Version 3.9 confirms each prepared action with its own confirmation tool, because servers since 3.7 no longer accept reelsfarm_confirm_action from clients. Update from 3.6: its confirmations fail against the current server, and validateToolSurface: 'throw' refuses to connect. Read MIGRATION.md.

It also adds slideshow Looks (tweet, iMessage, notebook, magazine cover), proven formats, Recreate from a TikTok link, TikTok text fonts and modes with free text positions, photo search, saved formats and batches, the automation photo sources and AI pictures, hook reaction styles, and natural speech for Videos.

Publishing aliases from MCP 2.x are removed. Read MIGRATION.md before you update a publishing integration.

npm install @reelsfarm/mcp-client

import { ReelsFarmClient, ReelsFarmJob } from '@reelsfarm/mcp-client';

const rf = new ReelsFarmClient({ apiKey: process.env.REELSFARM_API_KEY, validateToolSurface: 'throw', });

await rf.ready();

const avatar = await rf.avatars.generate({ prompt: 'Woman in her 30s, casual outfit, smartphone selfie style', model: 'gpt-image-2.5-sunburst', aspectRatio: '9:16', quality: 'high', });

if ('confirmationId' in avatar) { console.log('Review mode requires confirmation:', avatar); } else if (avatar instanceof ReelsFarmJob) { const result = await avatar.wait(); }

Review mode returns a PreparedAction by default. Its confirmationTool names the one tool that confirms it, such as reelsfarm_confirm_generate_avatar; call it with the confirmationId after the user approves. Trusted applications can set autoConfirm: true to confirm Review actions automatically. Creator and Autopilot connections execute the capabilities enabled by their server-owned connection policy without an extra SDK approval step.

Use nano-banana-2-1 for Nano Banana 2.1. The legacy nano-banana-2-pro key also uses 2.1. Use gpt-image-2.5-sunburst as the public GPT Image 2.5 model key. GPT Image 2 and GPT Image 2.5 accept low, medium, or high quality. Seedream 5.0 Pro accepts basic or high. FLUX 3 (flux-3) accepts basic (1K), high (about 2 megapixels), ultra (2K), or max (4K); bigger sizes cost more credits, and the prepared result's estimate follows the size. Omit quality for Nano Banana models.

Job waits and publishing discovery

All 13 generation, import, and export status methods accept { waitMs: 25000 }. Use an integer from 0 through 25000. Omit it or use 0 for an immediate snapshot. The server returns when recorded progress changes, the job ends, or the wait budget expires. This option does not apply to operation or publish status tools.

const snapshot = await rf.avatars.getJobStatus(jobId, { waitMs: 25000 });

// A ReelsFarmJob also supports job.getStatus({ waitMs: 25000 }). console.log(snapshot.jobProgress);

jobProgress contains step, terminal, nextPollAfterMs, and available batch counts. Inspect item results even when a batch completes; some items can fail. The SDK preserves these fields when unwrapping job results. job.wait() follows the server's suggested polling delay, with backoff for older responses.

Publishing preflight targets include settingsSchema (JSON Schema 2020-12 for one platforms entry), rules, and limits. Build settings from the exact account and media result. ready checks account and media readiness; required settings still need values. Missing limits are unknown. Integration targets can expose fewer settings than native connections. Run preflight again after changing the content, format, or account.

For a native Instagram video, set instagramShareToFeed: false to keep the Reel in the Reels tab only. Set it to true to also allow it on the profile grid. New native Reels default to false. This field is not available for Instagram integration accounts or photo posts. Check that the selected account's settingsSchema includes it before sending it. instagramTestReel is a separate setting.

Connected and social account lists mark an account managed: true when ReelsFarm connected the Instagram or Facebook account through its managed integration. Publish to it like any other integration account.

Conversational generation

Avatar and product-scene jobs return conversationId, parentGenerationId, and jobId. Pass the conversation and parent IDs into the next generation to continue the same branch. Read the complete branch through rf.imageGenerations.getConversation(conversationId).

const nextAvatar = await rf.avatars.generate({ prompt: 'Keep the same person and use a tighter crop', sourceImageUrl: previousImageUrl, conversationId, parentGenerationId: previousJobId, });

Hook generation accepts customPrompt, all current Veo and Seedance models, duration, and optional spoken script settings. Slideshow generation accepts Max mode visual context. Use rf.slideshows.reviseText(...) to apply a natural language instruction to the complete current slide text state.

Slideshow text generation and revision accept the dashboard effort presets: light, low, medium, high, and extra_high. Higher effort uses more visual references (0, 2, 5, 10, or 20) and more model time. extra_high also reviews the rendered text layout and is the dashboard default. Without effort, Max mode accepts up to five visual references; with it, up to 20. Give each reference its slide aspectRatio, because layout checks assume 1:1 when it is missing.

const textJob = await rf.slideshows.generateText({ prompt: '8 slides about cold brew at home', slideCount: 8, maxMode: true, effort: 'high', visualContext: slideImages.map((imageUrl, order) => ({ order, imageUrl, aspectRatio: '9:16' })), });

Looks, formats, and Recreate

generateText takes a Look and a proven format. A designed slide comes back with a design object and no text items; pass it unchanged to create or update. An iMessage slide draws no photo, so it needs no imageUrl and no visual context. auto picks a designed look only when the prompt asks for one.

const chat = await rf.slideshows.generateText({ prompt: 'Texts with my mom when she finds out how much I spend on iced coffee', slideCount: 4, design: 'imessage', });

const picks = await rf.slideshows.generateText({ prompt: 'The 3 best cold brew makers under $50', format: 'rated-picks', design: 'classic', });

rf.slideshows.recreate(...) copies a public TikTok photo slideshow for your product: the same format and text looks, new words, and a photo for every slide. It takes about two minutes, and the finished status has the slideshowId.

const job = await rf.slideshows.recreate({ tiktokUrl: 'https://www.tiktok.com/@creator/photo/7550000000000000000', productContextId, instructions: 'Use a wedding cake instead of the birthday cake', });

Text items accept TikTok's textFont, textEffect (none, outline, background, translucent) and textColor, which win over textStyle, plus textX and textY (0 to 1) for a free position. searchPhotos(...) finds photos on Pinterest, Tumblr, or Pexels, and savePhotos(...) turns picks into ReelsFarm URLs a slide can use. saveFormat(...) and createBatch(formatId, count) make many slideshows from one format, as Make 10 now does in the app.

Videos workbench

rf.videos.generateVideo(...) starts the same job as the dashboard Videos workbench. It supports text-to-video, a start frame with an optional end frame, or up to three reference images. Seedance models also accept one reference video and one reference audio file. Do not combine frames with reference media. Use owned ReelsFarm asset URLs for frames and references. With a start frame of a person, motionPreset opens the video with a hook reaction such as shocked or grateful. With audio, naturalSpeech (on by default) makes spoken lines in quotes sound like a real person without changing the words; set it to false to send the prompt exactly as written.

const video = await rf.videos.generateVideo({ prompt: 'Slow push-in on a latte on a sunny cafe table', model: 'seedance-2.5', durationSeconds: 8, aspectRatio: '9:16', category: 'product', });

if (video instanceof ReelsFarmJob) { const status = await video.wait(); console.log(status.video?.id); // Publish it with contentType UGC_VIDEO. }

The models are seedance-2.5 (the default), seedance-2, seedance-2-fast, veo-3.1, veo-3.1-fast, and gemini-omni-1.1-flash. Each model supports its own durations, aspect ratios, and resolutions. rf.account.getGenerationPricing() lists them with per-second prices under videoGeneration. Poll with rf.videos.getGenerationStatus(jobId, { waitMs: 25000 }). A completed job returns the finished library video in video.

One video job runs at a time per account, across hooks, AI Clone, and the Videos workbench. Another request fails with code VIDEO_JOB_IN_PROGRESS and names the active job. Wait for that job to finish, then retry with a new idempotency key. For an avatar-led hook clip, use rf.hooks.generate(...).

Image templates

rf.imageGenerations.listTemplates({ category }) returns the Product and Infographics templates from the dashboard Images workbench. Each template has a reference image, a prompt brief with [PLACEHOLDER] fields, and the generation tool to call. Replace the placeholders, remove lines you cannot fill, and start the prompt with the template categoryLine.

const { templates } = await rf.imageGenerations.listTemplates({ category: 'infographics' }); const [template] = templates; if (template && !template.requiresProduct) { await rf.avatars.generate({ mode: 'reference', sourceImageUrl: template.referenceUrl, prompt: ${template.categoryLine}\n${filledBrief}, model: template.model, aspectRatio: template.aspectRatio, quality: template.quality, }); }

For a template with requiresProduct: true, call rf.productScenes.generate(...) with sourceImageUrl set to referenceUrl and productImageUrl set to the product photo. peopleTemplate gives the brief and settings for the people reference images from rf.avatars.listTemplates().

The SDK also maps the web content library workflows directly:

const gallery = await rf.mediaCollections.listGallery({ kinds: ['COLLECTION', 'AVATAR'] }); const collections = await rf.mediaCollections.list(); const communityImages = await rf.community.listImages(collectionId, { random: true }); const voices = await rf.aiClones.listVoices({ search: 'warm' }); const importJob = await rf.hooks.importClips({ items: [{ url: youtubeUrl, start: "0", length: "5" }], }); const infographics = await rf.mediaCollections.listGallery({ kinds: ['AVATAR', 'PRODUCT_PLACEMENT'], imageCategory: 'infographics', groupCollections: true, }); const firstItems = await rf.mediaCollections.getItems(collectionId, 'all', { limit: 50 }); const { totalCount } = await rf.videos.list({ category: 'people' });

imageCategory

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