PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
YouTube uploader captions with timestamps for subtitle exports. Paid FlashData API.
Pick the AI app you use, then copy the settings.
Passed 2/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Download the maker’s .mcpb file
The .mcpb file comes straight from the maker; we do not change it
Use YouTube Captions — FlashData and tell me what you can do for me, then show me one thing✓ If Claude says it is using YouTube Captions — FlashData or shows a YouTube Captions — FlashData tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect YouTube Captions — FlashData yet
YouTube Captions — FlashData runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect YouTube Captions — FlashData
B · Others in Marketing & social media that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Claude Code cannot connect YouTube Captions — FlashData yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect YouTube Captions — FlashData
Cursor cannot connect YouTube Captions — FlashData yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect YouTube Captions — FlashData
VS Code cannot connect YouTube Captions — FlashData yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect YouTube Captions — FlashData
FLASHDATA_API_KEY secret required envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
mcpb: …/flashdata-youtube-captions-0.1.1.mcpbBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 13, 2026
The publisher (flashdata-dev) is not the repo owner (rocosen); someone else may have listed it
Code last changed 2 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 3 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.
You need to fill in: FLASHDATA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 2 days ago, and the latest version (0.1.2) reached the registry 29 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
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
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
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.
Retrieve YouTube uploader captions with timed segments. Prepare subtitle exports and inspect the language and caption-track type.
API documentation and account setup · Get an API key · Current pricing
Retrieve this video’s existing English uploader captions. Preserve start/end times and text so my application can export SRT. Check the returned language and track type before using the segments.
youtube_captions. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:{
"mcpServers": { "youtube-captions": { "command": "node", "args": [ "/absolute/path/to/unpacked/youtube-captions/server.js" ], "env": { "FLASHDATA_API_KEY": "YOUR_API_KEY" } } } }
get_pricing with {"source":"youtube_captions","request_count":1} before approving a paid request. This server exposes youtube_captions, get_pricing, get_job and get_result; all are restricted to this source.Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.
These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.
{
"name": "youtube_captions", "arguments": { "video_id": "dQw4w9WgXcQ", "language": "en", "auto": false } }
Read results[0].segments. Convert start/end seconds to SRT timestamps in your application and retain text. Check languageCode and isAutoGenerated before exporting.
Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:
{
"source": "youtube_captions", "status": "done", "results": [ { "videoId": "dQw4w9WgXcQ", "languageCode": "en", "isAutoGenerated": false, "segments": [ { "start": 0, "end": 3, "text": "Uploader captions." } ] } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" }
For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.
For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.
http_status and job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.Full task guide · Official Registry record · Source and license