MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Unofficial read-only Divar: search Iran's classified ads, cheapest and best-value ads, price checks.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DIVAR_MCP_PROXYYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"divar": {
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add divar --env DIVAR_MCP_PROXY=your-value -- uvx divar-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"divar": {
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"divar": {
"type": "stdio",
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
DIVAR_MCP_PROXY envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 8, 2026
The registry name was verified with the GitHub account sepehr071, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 –, and the latest version (0.3.0) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
Let your AI agent search Divar (دیوار) ads in any Iranian city, and tell it whether a price is fair.
An unofficial, read-only MCP server for Divar, Iran's largest classifieds site (homes, cars, phones, jobs, services).
Search, read ads, compare, find the cheapest and best-value ads, appraise prices and browse the map from Claude, Cursor or Copilot. Prices are in Toman.
For AI agents · Why · What it can do · Quick start · Tools · How it works · Good to know · FAQ · Configuration · فارسی · Development
uvx divar-mcp or claude mcp add divar -- uvx divar-mcp. Transport: stdio. Needs uv (Python 3.10+).DIVAR_MCP_PROXY (HTTP proxy URL, or a comma-separated list); system proxy settings are ignored.dv_watch and dv_price_trend write, and only to a local file of your own searches.dv_. Start with dv_search, dv_post, dv_cheapest, dv_best_for_budget, dv_market.dv_cities / dv_categories -> dv_filters -> dv_search -> dv_post -> dv_similar / dv_appraise / dv_compare.divar://cities, divar://categories, divar://category-filters/{slug}; prompts compare_ads, best_under_budget, appraise_listing, watch_market.price for a sale; deposit + rent for a rental (rent 0 with full_deposit means رهن کامل); no price means negotiable.token between tools and next_cursor back as cursor.server.json and the iran-mcp catalog (TOOLS.md, servers.json, llms.txt).Divar is where Iranians buy and sell flats, cars and phones, but answering "what is a fair price for a 2-bedroom flat in Vanak?" means scrolling through dozens of ads and ignoring the fake prices. With divar-mcp an agent fetches the ads, drops placeholder prices, computes the median and quartiles of the asking prices, and tells you which ads are well below them.
You: Find the best 2-bedroom flat to rent in Vanak with a deposit under 1 billion Toman.
Agent: *calls*
dv_parse_query->dv_best_for_budget->dv_post
It lists the best-value ads against the median of the ads that fit, with the reasons for each score, then opens the one you pick.
dv_new_since with the last timestamp to see only new ads; keep saved searches and a daily median price trend locally; export results as CSV or JSON linesExample prompts:
You need uv. No API key or account.
Claude Code
claude mcp add divar -- uvx divar-mcp
Claude Desktop
Settings → Developer → Edit Config, then add:
{
"mcpServers": { "divar": { "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Cursor
Add the Claude Desktop block above to ~/.cursor/mcp.json (or .cursor/mcp.json in a project).
VS Code (Copilot agent mode)
Click Install in VS Code above, or add to .vscode/mcp.json:
{
"servers": { "divar": { "type": "stdio", "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Codex CLI
codex mcp add divar -- uvx divar-mcp
Or in ~/.codex/config.toml:
[mcp_servers.divar]
command = "uvx" args = ["divar-mcp"]
</details>
Gemini CLI
Add to ~/.gemini/settings.json:
{
"mcpServers": { "divar": { "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Windsurf
Add the Claude Desktop block to ~/.codeium/windsurf/mcp_config.json.
Anything else
It is a standard stdio MCP server: run uvx divar-mcp, or pip install divar-mcp and run divar-mcp.
An ad card has token, title, price (sale) or deposit + rent (rent 0 with full_deposit means رهن کامل), info (mileage, condition...), district, seller (agency label), age_h (hours since the last bump), photos, image (thumbnail URL, only from dv_search with thumbnails), chat, tag (paid promotion), url, and suspect_price when the price looks like a placeholder. Absent flags mean false. Default page size is 10 to 20 ads.
All tools start with dv_ and are annotated read-only, except dv_watch and dv_price_trend, which write only to a local file.
| Tool | What it does |
|---|---|
dv_cities | City ids for a name (1,177 cities); no query lists the biggest cities |
dv_districts | Neighbourhoods of a city with ids, centre and main streets |
dv_neighbours | Neighbourhoods adjacent to a district (Divar's list plus the nearest ones by distance) |
dv_locate | City, neighbourhood and street address of a GPS point |
dv_place_search | Map autocomplete: landmark or street to coordinates |
dv_place_mapping | Convert old Divar place ids to current ones |
dv_categories | The 236-node category tree; search by name, list children |
dv_filters | Every filter of a category: key, type, label, unit, options |
dv_filter_options | Brand and model keys (161 car brands), districts and other option lists, with typed search |
dv_suggest | The search box's suggestions and category guesses for some text |
dv_parse_query | A plain Persian request ("آپارتمان اجاره ونک زیر ۸ میلیارد") to dv_search arguments: city, neighbourhoods, price bounds, area (80 متری), category |
dv_boundary | Neighbourhood borders of a city (GeoJSON): the city box, or one neighbourhood's polygon |
| Tool | What it does |
|---|---|
dv_search | Search ads with city, category, text, districts, price, brand, photo, freshness and any category filter; multi-page merge, client-side age and keyword filters, cursor paging |
dv_count | How many ads match a search (capped at 10,000) |
dv_cheapest | The cheapest ads of a search; placeholder prices and far-below-median outliers skipped |
dv_best_for_budget | Within a budget: best value with an explainable deal_score (and reasons) against the median of the ads that fit (price per m2 for property for sale), and the most you can get; bait / co-op / loan titles are skipped |
dv_find_deals | Ads priced well below the median of a search, no budget needed; junk prices and bait titles removed |
dv_market | Price statistics (min, quartiles, median, max) plus breakdown by district and by day |
dv_appraise | Is an ad's price (or a price you give) high or low versus similar ads (same area first, then the whole city): percentile, verdict ("insufficient comparables" when the call is extreme but thin), confidence |
dv_new_since | Ads published after a timestamp: poll with the returned latest to watch a search |
dv_export | The ads of a search as CSV or JSON lines |
dv_nearby | Map ads around a point (category required), nearest first, with coordinates, distance and total price |
dv_watch | Saved searches: create, then check to get only the ads newer than the last check (local file) |
dv_price_trend | One median asking price per day for a search, kept locally, with change since the previous day |
dv_status | Is Divar reachable, latency, caches, saved watches and the tool list |
| Tool | What it does |
|---|---|
dv_post | Full ad: price, specs, features, description, images, map position, seller type, flags |
dv_posts | Up to 10 ads in one call, compact |
dv_compare | 2 to 6 ads side by side: prices and only the specs that differ |
dv_similar | Ads like this one (same brand and area, widening step by step) |
dv_seller | A seller's personal and business ad counts, business card (or "personal seller") and other ads (only business sellers' ads are listed, the first 11) |
dv_dealer | A business's public page: name, member since, first 11 ads |
AI agent (Claude, Cursor, Copilot, ...)
│ │ MCP over stdio ▼ diva
Only the beginning is shown; read the rest in the repo