This is "a" version focued on enabling to web browsing from Claude app of model context procol projects. It's derived from Model Context Protocol and Anthropic's original MCP project. You can see…
MCP-servers is an MCP project maintained in the rascal-3/mcp-servers repository. The maintainer describes its purpose as “This is "a" version focued on enabling to web browsing from Claude app of model context procol projects. It's derived from Model Context Protocol and…”. Read the project documentation for the complete scope.
The project provides a local client configuration using docker. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares PERPLEXITY_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| perplexity_ask | Engage in a conversation with the Sonar API for live web searches. |
| Inputs: | messages (array): An array of conversation messages. |
{
"mcpServers": {
"perplexity-ask": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"PERPLEXITY_API_KEY",
"mcp/perplexity-ask"
],
"env": {
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| PERPLEXITY_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
YouTube videos, channels, playlists, search to JSON: views, likes, dates and full transcripts.
This is a remote MCP server — no local install needed. Point your MCP client at:
Web scraping, Google SERP, Markdown and ChatGPT/Gemini answers as typed tools for AI agents.
Gemini DeepSearch MCP is an automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research.