ResearchTwin Federated Network

v0.1.1Search & Data Extractionstable

For AI agents and humans: Discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. Compute S-Index impact metrics combining citation data from Semantic Scholar and Google Scholar with

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What is ResearchTwin Federated Network?

ResearchTwin Federated Network is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to for ai agents and humans: discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. compute s-index impact metrics combining citation ...

For AI agents and humans: Discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. Compute S-Index impact metrics combining citation data from Semantic Scholar and Google Scholar with

This server falls under the Search & Data Extraction and Analytics categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • For AI agents and humans: Discover researchers, publications

Use Cases

Discover researchers and publications across federated network
Compute S-Index impact metrics
martinfrasch

Maintainer

LicenseMIT License
Languagepython
Versionv0.1.1
UpdatedFeb 12, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install mcp-server-researchtwin

Manual Installation

pip install mcp-server-researchtwin

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about ResearchTwin Federated Network

What is ResearchTwin Federated Network?

ResearchTwin Federated Network is a Model Context Protocol (MCP) server that for ai agents and humans: discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. compute s-index impact metrics combining citation data from semantic scholar and google scholar with It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ResearchTwin Federated Network?

Install via pip with: pip install mcp-server-researchtwin. Then configure your AI client to connect to this MCP server.

Which AI clients work with ResearchTwin Federated Network?

ResearchTwin Federated Network works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ResearchTwin Federated Network free to use?

Yes, ResearchTwin Federated Network is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "researchtwin": { "command": "pip", "args": ["install", "mcp-server-researchtwin"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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