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Daily Ai Agents Mcp Server

@Dailyaiagents

Repository

About Daily Ai Agents Mcp Server

Local-first AI trading signals, market research, backtesting results, and automation tools. Built on a 17-agent OpenClaw AI operating system running on Apple Silicon. 5 tools: trading signals, market research, backtest results, local AI setup guide, and consulting services.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "daily-ai-agents": {
      "url": "https://daily-ai-agents-mcp.dailyaiagents.workers.dev/mcp"
    }
  }
}

Tools

5

Get AI-generated trading signals for prediction markets (Kalshi) and crypto. Includes Kelly Criterion sizing, risk limits, and backtested strategies. All signals generated locally on Apple Silicon — zero cloud dependency.

Research a prediction market or crypto asset using the Daily AI Agents research pipeline. Returns base rate analysis, calibration data, and strategy recommendations based on 3,000+ backtests across 800 markets.

Get backtesting results for trading strategies. Uses the RBI framework: Research -> Backtest -> Incubate. Strategies: MACD, RSI, market-making, barbell, calibration arb, time decay. Benchmarks: >55% win rate, >1.5 profit factor, <20% max drawdown.

Step-by-step guide for setting up a local AI agent system on Mac (Apple Silicon) or Linux. Covers Ollama, OpenClaw, agent architecture, and production deployment. Zero cloud costs.

Information about Daily AI Agents consulting services. Custom AI agent systems built in 2-week sprints. $7,500 flat. Trading bots, content pipelines, business automation — all local-first on your hardware.

Overview

What is Daily Ai Agents Mcp Server?

Daily Ai Agents Mcp Server is a local-first MCP server that provides AI trading signals, market research, backtesting results, and automation tools. It is built on a 17‑agent OpenClaw AI operating system that runs on Apple Silicon.

How to use Daily Ai Agents Mcp Server?

The server offers five tools: trading signals, market research, backtest results, a local AI setup guide, and consulting services. No specific installation or configuration commands are documented in the README.

Key features of Daily Ai Agents Mcp Server

  • Local‑first design keeps data on your device.
  • Generates AI‑driven trading signals.
  • Conducts automated market research.
  • Provides backtesting results.
  • Includes a local AI setup guide.
  • Powered by a 17‑agent OpenClaw AI OS.

Use cases of Daily Ai Agents Mcp Server

  • Obtaining real‑time trading signals for stock or crypto decisions.
  • Running automated market research on selected assets.
  • Backtesting trading strategies with historical data.
  • Setting up a local AI environment for custom experimentation.
  • Accessing expert consulting services for advanced trading workflows.

FAQ from Daily Ai Agents Mcp Server

What hardware is required to run Daily Ai Agents Mcp Server?

The server is built to run on Apple Silicon (M‑series chips).

Is Daily Ai Agents Mcp Server cloud‑based or local?

It is local‑first, meaning data processing and storage happen on your own machine.

How many agents power the system?

The system uses 17 agents within the OpenClaw AI operating system.

What tools does Daily Ai Agents Mcp Server include?

It includes five tools: trading signals, market research, backtest results, a local AI setup guide, and consulting services.

Frequently asked questions

What hardware is required to run Daily Ai Agents Mcp Server?

The server is built to run on Apple Silicon (M‑series chips).

Is Daily Ai Agents Mcp Server cloud‑based or local?

It is local‑first, meaning data processing and storage happen on your own machine.

How many agents power the system?

The system uses 17 agents within the OpenClaw AI operating system.

What tools does Daily Ai Agents Mcp Server include?

It includes five tools: trading signals, market research, backtest results, a local AI setup guide, and consulting services.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

Dailyaiagents

Submitted by

Cooper

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