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R.A.M.A--Research-Automation-Using-MCP-Architechture-Agentic-AI
Project RAMA is an agentic AI framework designed to accelerate scientific discovery. It automates large-scale literature synthesis and then generates novel, testable hypotheses by identifying research gaps using a Model Context Protocol (MCP) Server, n8n for workflow automation, and a FAISS-indexed vector database for
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InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest nimishsarpande712/R.A.M.A--Research-Automation-Using-MCP-Architechture-Agentic-AIAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx r.a.m.a--research-automation-using-mcp-architechture-agentic-ai
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"r.a.m.a--research-automation-using-mcp-architechture-agentic-ai": {
"command": "uvx",
"args": [
"r.a.m.a--research-automation-using-mcp-architechture-agentic-ai"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
r.a.m.a--research-automation-using-mcp-architechture-agentic-ai — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt