FrameThrower

Name: FrameThrower
Author: framethrower-ai

by framethrower-aiversion 1.0.0i★ –iRuns in the cloud

Registry nameai.framethrower/framethrower

Install

Overview

Description from the maker (original English)

Film stills from 5,489 films, searchable by lighting, lens character, shot size, colour and mood.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other

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

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://framethrower.ai/api/mcp

Run this in your terminal

claude mcp add --transport http framethrower https://framethrower.ai/api/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "framethrower": {
      "url": "https://framethrower.ai/api/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": {
    "framethrower": {
      "type": "http",
      "url": "https://framethrower.ai/api/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:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://framethrower.ai/api/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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain framethrower.ai (the registry checks domain ownership)
… 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 32398 servers in this category
Published to the registry more recently than 23% of the other 32398 servers in this category
Basic checks equal to or better than 100% of the other 32398 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 FrameThrower 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 (1.0.0) 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, AI Deprecations

Alternatives

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

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday

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AI Deprecations

by aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

Runs in the cloudUpdated today

Install

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.

FrameThrower MCP Server

Film references, inside your agent. Connect any MCP client to a cinematography reference library of 5,489 films, indexed frame by frame on lighting, lens character, shot size, colour and mood.

Ask for a look in conversation and the agent comes back with real frames, credited to their film, director and cinematographer.

https://framethrower.ai/api/mcp

Remote server, OAuth 2.1, four tools, no rate limits, $2 of credits free on signup (no card).

Quick start

Claude (Desktop / Web)

Settings → Connectors → Add custom connector → paste:

https://framethrower.ai/api/mcp

Cursor

One-click:

Or add to ~/.cursor/mcp.json:

"mcpServers": { "framethrower": { "url": "https://framethrower.ai/api/mcp" } } }

Clients that only speak stdio

Bridge with mcp-remote, which handles the OAuth flow for you:

"mcpServers": { "framethrower": { "command": "npx", "args": ["-y", "mcp-remote", "https://framethrower.ai/api/mcp"] } } }

Full per-client steps in docs/install.md.

The four tools

Tool	Credits	What it does
`search_frames`	2	Search by concept, mood, colour, composition or scene, in natural language
`find_by_craft`	2	Find frames by cinematography attribute — lens, shot size, style, setting, time of day, director, year
`find_similar`	2	More frames like one already shortlisted. This is the refinement loop
`get_frame_details`	2	Full metadata, thumbnail and link for a single frame

`search_frames`

Argument	Type	Notes
`query`	string, required	e.g. `"neon-lit rainy street at night"`
`limit`	number, 1–40	defaults to 12

`find_by_craft`

All optional — combine them to narrow.

Argument	Type	Notes
`lens`	string	`"anamorphic"`, `"spherical"`, `"vintage_soft"`
`shot_size`	string	`"closeup"`, `"wide"`, `"medium"`
`visual_style`	string
`setting`	string	`"interior"` or `"exterior"`
`time_of_day`	string	`"night"`, `"day"`
`director`	string
`year_min` / `year_max`	number	year range
`limit`	number, 1–40	defaults to 12

`find_similar`

Argument	Type	Notes
`frameId`	string, required	an id from a previous result
`limit`	number, 1–40	defaults to 12

`get_frame_details`

Argument	Type	Notes
`frameId`	string, required

How it's meant to be used

The server sends usage instructions on connect, so a client doesn't need to be told how to behave. The loop it asks for:

Search — the agent calls search_frames with what you described.
Show a few — about four, each with film, director and a link. Not a dump.
React — "more like #2", "colder", "tighter". That becomes a find_similar on that frame, or a find_by_craft with attributes adjusted.
Repeat until it's right.

Every result keeps a link back to FrameThrower, because inline image rendering in chat is unreliable and the gallery is where the frames look like themselves.

See examples/prompts.md for conversations that work.

What it costs

$2 of credits free on signup, no card. Then $1 = 1,000 credits, and each tool call costs 2 — so $1 covers 500 calls. Credits never expire. There are no rate limits.

Run out and the tool replies with a message saying so, including your balance and where to top up, so the agent can explain itself rather than failing silently.

What it returns — and what it doesn't

Tools return metadata, a thumbnail URL, colour palettes and a deep link back to FrameThrower. Never raw image bytes.

This is a discovery and reference tool, not an image-delivery pipe. The frames are not ours to license — they are shown at reduced resolution as references for commentary, education and study, and rights remain with their owners. See intended use.

Why there's no server code here

The FrameThrower MCP server is remote and hosted — you connect to it, you don't run it. So this repo is the connector: manifests, per-client setup, tool signatures and worked examples. Nothing to install, nothing to keep running, and no API key to manage — OAuth means the agent acts as your signed-in FrameThrower account.

Also available

REST API — 11 endpoints, no rate limits. Machine-readable spec · docs
npm SDK — npm install framethrower-ai (source)

Same account, same credits.

About

FrameThrower is the reference app for the future creative: one of the largest film still libraries on the internet, callable from a REST API, an MCP server and an npm SDK. Built by senior filmmakers and ads creatives, for working film professionals.

framethrower.ai · /mcp

MIT licensed.

FrameThrower

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

AI Deprecations

README from the maker

FrameThrower MCP Server

Quick start

Claude (Desktop / Web)

Cursor

Clients that only speak stdio

The four tools

search_frames

find_by_craft

find_similar

get_frame_details

How it's meant to be used

What it costs

What it returns — and what it doesn't

Why there's no server code here

Also available

About

`search_frames`

`find_by_craft`

`find_similar`

`get_frame_details`