io.github.CloudCorpRecords/researchsearch
Web search, page extraction, crawling, and site mapping powered by the Tavily API.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
@reneturcios/researchsearchclaude mcp add researchsearch -- npx -y @reneturcios/researchsearch@0.1.0 mcp
{
"mcpServers": {
"researchsearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/researchsearch@0.1.0",
"mcp"
]
}
}
}
ghcr.io/cloudcorprecords/researchsearch:0.1.0claude mcp add researchsearch -- docker run -i --rm ghcr.io/cloudcorprecords/researchsearch:0.1.0 mcp
{
"mcpServers": {
"researchsearch": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/cloudcorprecords/researchsearch:0.1.0",
"mcp"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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/researchsearch
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
CLI
# Search; results print as JSON
researchsearch 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 mcp
MCP 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 install
npm 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.
Frequently asked questions
What is io.github.CloudCorpRecords/researchsearch?
Web search, page extraction, crawling, and site mapping powered by the Tavily API.
How do I install io.github.CloudCorpRecords/researchsearch?
It runs on your machine. In Claude Code: claude mcp add researchsearch -- npx -y @reneturcios/researchsearch@0.1.0 mcp. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.CloudCorpRecords/researchsearch need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.CloudCorpRecords/researchsearch open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.CloudCorpRecords/researchsearch?
It is published by CloudCorpRecords. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.