YC-Killer is an open-source AI agents library focused on democratizing access to enterprise-grade AI capabilities. It bundles multiple agents designed for research, trading simulations, executive assistance, contact center automation, and more. The server framework exposes tools to interact with these agents, run experiments, and deploy production-ready configurations. Users can explore agents such as Agentic Deep Research for research workflows, Agentic Quant Hedge Fund for simulated financial strategies, Jarvis-style executive assistance, and scalable multi-agent orchestration with Docker-ready deployments. The library emphasizes modularity, allowing you to run individual agents or compose coordinated multi-agent tasks through the provided APIs and deployment configurations. This MCP server acts as the runtime container for these capabilities, enabling you to start, monitor, and interact with the agent ecosystem from a single entry point.

Prerequisites:

• Node.js (LTS version) and npm or pnpm
• Git

Installation steps:

1. Clone the YC-Killer repository: git clone https://github.com/SingularityResearch YC-Killer.git cd YC-Killer

2. Install dependencies (adjust if a specific package manager is used): npm install

   or

   pnpm install

3. Build or compile assets if required by the repo (follow any agent-specific READMEs if present): npm run build

4. Start the MCP server: npm start

   or if using the provided node entry directly:

   node path/to/server.js

5. Verify the server is running (e.g., via logs or the health endpoint if provided).

Notes:

• Some agents may have additional setup steps (e.g., API keys, Docker prerequisites, or local data stores). Refer to the individual agent READMEs within the repository for agent-specific instructions.

Tips and caveats:

• Environment variables: If the server requires API keys or configuration flags, set them in an .env file or in the environment where you launch the process. Placeholder in this document is VAR_NAME_description.
• Docker deployments: Several YC-Killer agents are designed to run in Docker containers. If you plan to deploy in Docker, ensure Docker is installed and consider using the provided docker-compose.yml files if available.
• Resource considerations: Some agents (e.g., Agentic Quant Hedge Fund or Agentic Call Center) can be resource-intensive. Allocate sufficient CPU/RAM and consider parallelism controls and rate-limiting.
• Security: If exposing the MCP server over a network, enable authentication and secure channels where possible. Review the repository’s security guidelines and the agent authentication mechanisms.
• Updates: The project aggregates multiple agents; keep an eye on individual agent READMEs for updates or breaking changes when upgrading.
• Customization: The modular design typically allows swapping agents or altering orchestration. Check for configuration options to enable/disable agents, adjust concurrency, or modify webhook/WebSocket endpoints.