Researchsearch
Overview
Description from the maker (original English)
Web search, page extraction, crawling, and site mapping powered by the Tavily API.
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 checksi2 of 2 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 297/wk · ★ 0
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 on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 2 of 2 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- 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 …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"researchsearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/researchsearch",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add researchsearch -- npx -y @reneturcios/researchsearch mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"researchsearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/researchsearch",
"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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"researchsearch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/researchsearch",
"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.
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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
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 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
- ✓ Pass
Still maintained
Code last changed 11 days ago
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5857 servers in this category
- Published to the registry more recently than 78% of the other 5857 servers in this category
- Basic checks equal to or better than 100% of the other 5857 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 Researchsearch safe?
It passed 2 of 2 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 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).
Is it still maintained?
The GitHub repo last changed 11 days ago, and the latest version (0.1.0) reached the registry 11 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
What can I use instead?
In the same category: Ruflo, Context7, Metabase
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
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.
researchsearch
researchsearch is a research desk for the web, powered by the Tavily API. It searches with ranked, content-bearing results (and an optional generated answer), pulls the clean text out of specific pages, crawls a site page by page under limits you set, and maps a site's structure so you can see what is there before you read it. It works from the command line or as an MCP server for agents.
A Tavily API key is required. Put it in the TAVILY_API_KEY environment variable; without it, every operation stops with an error that names the missing variable, before any request is made.
Install
export TAVILY_API_KEY="tvly-..."npx @reneturcios/researchsearch search "composting basics"
Or run the container image:
docker run -i -e TAVILY_API_KEY="tvly-..." ghcr.io/cloudcorprecords/researchsearchThe container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
CLI
# Search; results print as JSONresearchsearch search "composting basics" researchsearch search "rate decision" --topic news --days 3 --max-results 5 --answer
Extract the clean content of one or more pages
researchsearch extract https://example.com/article researchsearch extract https://example.com/a https://example.com/b --depth advanced
Crawl a site from a starting page
researchsearch crawl https://example.com --max-depth 2 --limit 25 researchsearch crawl https://example.com --instructions "Focus on the guides"
Map a site's structure (URLs only, no page content)
researchsearch map https://example.com --max-depth 1 --limit 50
researchsearch --version
Exit codes: 0 on success, 1 when an operation fails (a missing TAVILY_API_KEY, an HTTP error from the service, an unreachable host), 2 for usage errors.
MCP server
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/researchsearch mcpMCP client configuration:
{"mcpServers": { "researchsearch": { "command": "npx", "args": ["-y", "@reneturcios/researchsearch", "mcp"], "env": { "TAVILY_API_KEY": "tvly-..." } } } }
Tools
| Tool | Input | What it returns |
|---|---|---|
tavily-search | query (string, required), search_depth, topic, days, max_results, include_answer, include_raw_content, include_domains, exclude_domains (all optional) | Ranked results with content excerpts and scores, plus a generated answer and raw page content when requested. |
tavily-extract | urls (string array, required), extract_depth, include_images, query (optional) | The clean extracted content of each page, with failures reported separately. |
tavily-crawl | url (string, required), max_depth, max_breadth, limit, instructions, extract_depth (optional) | The pages visited from the starting URL, each with its extracted content. |
tavily-map | url (string, required), max_depth, max_breadth, limit, instructions (optional) | The list of URLs reachable from the starting page, without page content. |
Each tool is one call to the matching Tavily API endpoint. Only the parameters you set are sent — unset optionals are omitted so the service applies its own defaults — and each response is the service's JSON, passed back unchanged.
Development
npm installnpm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures) npm run dev # run the CLI from source via tsx
License
MIT — see LICENSE.