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kjpou1/forexfactory-mcp

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An MCP (Model Context Protocol) server that exposes ForexFactory economic calendar data as structured tools and resources for agentic workflows.

Overview

An MCP (Model Context Protocol) server that exposes as resources and tools. Designed for use in , LLMs, and trading assistants. * ✅ Retrieve by time period (today, this_week, custom, etc.) * ✅ Access via (for subscription-style access) * ✅ Access via (direct calls from clients/agents) * ✅ JSON-first responses for easy integration * ⚡ Integrates with LangChain, n8n, or any MCP-compatible client This project is . The (retrieving ForexFactory economic calendar events via MCP tools and resources), but we are still: * Expanding features (prompts, deployment options) * Improving documentation and examples We welcome feedback and contributions while we continue building out the ecosystem. (See repo for full details — this is a high-level layout for contributors.) * Python 3.12+ * uv or pip * A modern terminal or MCP-compatible client

README

📅 ForexFactory MCP Server

An MCP (Model Context Protocol) server that exposes ForexFactory economic calendar data as resources and tools.

Designed for use in agentic workflows, LLMs, and trading assistants.



🚀 Features

  • ✅ Retrieve economic calendar events by time period (today, this_week, custom, etc.)
  • ✅ Access via MCP resources (for subscription-style access)
  • ✅ Access via MCP tools (direct calls from clients/agents)
  • ✅ JSON-first responses for easy integration
  • ⚡ Integrates with LangChain, n8n, or any MCP-compatible client

📌 Development Status

This project is actively developed. The core functionality is stable (retrieving ForexFactory economic calendar events via MCP tools and resources), but we are still:

  • Expanding features (prompts, deployment options)
  • Improving documentation and examples

We welcome feedback and contributions while we continue building out the ecosystem.



🔧 Installation

Requirements

  • Python 3.12+
  • uv or pip
  • A modern terminal or MCP-compatible client

Setup

# Clone repo
git clone https://github.com/kjpou1/forexfactory-mcp.git
cd forexfactory-mcp

# Install dependencies
uv sync   # or: pip install -e .

# Install Playwright browser binaries
uv run playwright install chromium
# or, if using pip/venv:
playwright install chromium

# Copy example environment and adjust if needed
cp .env.example .env

▶️ Usage

⚡ Quickstart

Start the server with default settings (stdio transport):

uv run ffcal-server

Run with HTTP transport:

uv run ffcal-server --transport http --host 0.0.0.0 --port 8080

SSE transport (⚠️ deprecated)

uv run ffcal-server --transport sse --host 127.0.0.1 --port 8001

Environment variable defaults

MCP_TRANSPORT=http
MCP_HOST=0.0.0.0
MCP_PORT=8080

🏷️ Namespace

Default namespace:

ffcal

Override via .env:

NAMESPACE=ffcal

📦 Resources

Name Path Description
events_today ffcal://events/today Today’s events
events_week ffcal://events/week All events this week
events_range ffcal://events/range/{start}/{end} Custom date range

🛠️ Tools

Name Type Description
ffcal_get_calendar_events Tool Retrieve events for a given period

Supported values:

today, tomorrow, yesterday, this_week, next_week, last_week, this_month, next_month, last_month, custom

📝 Prompts

Name Description
ffcal_daily_prep Trader prep note for today
ffcal_weekly_outlook Weekly macro event summary
ffcal_volatility_grid Weekly event-risk heatmap
ffcal_trade_map_scenarios Scenario map for specific events

🧩 Prompt Styles

All prompts support a style parameter to control formatting. Default:

style: str = "bullet points"

See the Output Style Reference for available formats.


💻 Client Examples

Example: Using MCP CLI

mcp call ffcal:get_calendar_events time_period=this_week

Example: Using in Python

from mcp.client.session import Session
async with Session("ws://localhost:8000") as session:
    result = await session.call_tool("ffcal:get_calendar_events", {"time_period": "today"})
    print(result)

Example: LangChain Integration

from langchain.agents import initialize_agent
from langchain_mcp import MCPToolkit

toolkit = MCPToolkit.from_server_url("ws://localhost:8000", namespace="ffcal")
agent = initialize_agent(toolkit.tools)
response = agent.run("What are today's USD-related high impact events?")
print(response)

📘 Client Configuration Reference

📖 docs/CLIENT_CONFIG_REFERENCE.md

Includes:

  • ✅ Example configs for Claude Desktop (local + Docker)
  • 🐳 Docker build and setup
  • 🧩 VS Code MCP integration (future)
  • 🧪 Testing + troubleshooting checklist
  • 🔍 Inspector setup for visual debugging






🤝 Contributing

  1. Fork the repo
  2. Create a feature branch
  3. Commit with a clear message
  4. Push and open a PR

📜 License

MIT License – see LICENSE for details.

View the full README on GitHub

Install

This server does not publish a one-line install command.

Open the repository installation guide New to MCP? Start with the mcpskill.org guide →