K Dense BYOK

v1.0.0Data Science & MLstable

An AI co-scientist powered by Scientific Agent Skills running on your desktop.

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What is K Dense BYOK?

K Dense BYOK is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai co-scientist powered by scientific agent skills running on your desktop.

An AI co-scientist powered by Scientific Agent Skills running on your desktop.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • An AI co-scientist powered by Scientific Agent Skills runnin

Use Cases

An AI co-scientist powered by Scientific Agent Skills running on your desktop.
K-Dense-AI

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx k-dense-byok

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use K Dense BYOK

K-Dense BYOK is a local-first AI co-scientist desktop application that runs 140+ scientific skills and 326 workflow templates across genomics, proteomics, drug discovery, materials science, and 18 other disciplines using your own API key (BYOK) via OpenRouter or local Ollama models. It connects to 229 scientific and financial databases including PubMed-scale biomedical resources, and supports 21 specialized sub-agents for citation checking, statistical review, and peer review. Researchers use it to run differential expression analyses, literature reviews, figure generation, and manuscript checking entirely on their own machine without data leaving their environment.

Prerequisites

  • Node.js 18+ and npm or pnpm installed
  • An OpenRouter API key (free tier available) or Ollama installed for local models
  • Git to clone the repository
  • An MCP client such as Claude Desktop or Claude Code
  • Sufficient local compute for Ollama if avoiding cloud API keys
1

Clone the repository

Clone the K-Dense BYOK repository to your local machine.

git clone https://github.com/K-Dense-AI/k-dense-byok.git
cd k-dense-byok
2

Configure your API key

Copy the example environment file and add your OpenRouter API key. OpenRouter gives access to OpenAI, Anthropic, Google, xAI, and Qwen models through one key.

cp .env.example .env
# Edit .env and add:
# OPENROUTER_API_KEY=sk-or-your-key-here
3

Start the application

Run the start script to launch the K-Dense BYOK web interface locally.

./start.sh
4

Access the web interface

Open your browser and navigate to http://localhost:3000. The initial setup will configure available scientific skills and databases.

5

Configure Claude Desktop as MCP client

Register K-Dense BYOK as an MCP server in your Claude Desktop config to use its scientific skills directly in Claude conversations.

{
  "mcpServers": {
    "k-dense-byok": {
      "command": "npx",
      "args": ["k-dense-byok"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-your-key-here"
      }
    }
  }
}

K Dense BYOK Examples

Client configuration

Claude Desktop configuration for K-Dense BYOK using an OpenRouter API key.

{
  "mcpServers": {
    "k-dense-byok": {
      "command": "npx",
      "args": ["k-dense-byok"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-your-openrouter-key"
      }
    }
  }
}

Prompts to try

Example scientific workflows you can run using K-Dense BYOK's 140+ skill library.

- "Run a differential expression analysis on counts.csv comparing treated vs control and plot a volcano plot"
- "Search PubMed for recent papers on CRISPR base editing in hematopoietic stem cells and summarize the top 5"
- "Check my manuscript introduction.docx for citation accuracy and flag unsupported claims"
- "Generate a figure showing protein structure comparison between these two PDB IDs"
- "Run a statistical power analysis for my planned clinical trial with n=50 per arm"

Troubleshooting K Dense BYOK

start.sh fails with permission denied

Make the script executable with 'chmod +x start.sh' before running it.

OpenRouter API calls fail with 401 unauthorized

Verify that OPENROUTER_API_KEY is correctly set in .env (starts with 'sk-or-'). Check your OpenRouter dashboard to confirm the key is active and has available credits.

Scientific databases return no results

Some databases require internet access and may be rate-limited. Ensure you are connected to the internet and try reducing the scope of your query. Check the k-dense-byok GitHub issues for known database outages.

Frequently Asked Questions about K Dense BYOK

What is K Dense BYOK?

K Dense BYOK is a Model Context Protocol (MCP) server that ai co-scientist powered by scientific agent skills running on your desktop. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install K Dense BYOK?

Follow the installation instructions on the K Dense BYOK GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with K Dense BYOK?

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

Is K Dense BYOK free to use?

Yes, K Dense BYOK is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

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Quick Config Preview

{ "mcpServers": { "k-dense-byok": { "command": "npx", "args": ["-y", "k-dense-byok"] } } }

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

Read the full setup guide →

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