ForexFactory MCP Server

ForexFactory MCP Server

Enables access to ForexFactory economic calendar data through MCP resources and tools. Supports retrieving economic events by time periods for integration with trading assistants and agentic workflows.

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📅 ForexFactory MCP Server

Python License MCP uv

Contributions welcome Status PRs Welcome Made with Love

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.


📂 Project Structure

forexfactory-mcp/
│── src/forexfactory_mcp/   # Main package
│   ├── models/             # Schemas & enums
│   ├── services/           # Scraper + data normalization
│   ├── tools/              # MCP tool definitions
│   ├── resources/          # MCP resource definitions
│   ├── prompts/            # Prompt templates (optional MCP prompts)
│   ├── utils/              # Shared helpers & config
│   └── server.py           # FastMCP server entrypoint
│
│── examples/               # Example clients
│── tests/                  # Unit tests
│── .env.example            # Copy to .env for config
│── pyproject.toml          # Dependencies & metadata
│── README.md               # Documentation
│── .python-version         # Python version pin (3.12)

(See repo for full details — this is a high-level layout for contributors.)


🔧 Installation

Requirements

  • Python 3.12+ (see .python-version for exact version)
  • 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 .

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

▶️ Usage

Start the MCP server

uv run forexfactory_mcp.server

The server will expose MCP resources, prompts, and tools that clients can call.


🏷️ Namespace

This MCP server registers under the namespace:

ffcal

You can override this in your .env file:

NAMESPACE=ffcal

All tools and resources are exposed with this prefix.

Examples:

  • ffcal_get_calendar_events
  • ffcal:events_week
  • ffcal:events_today

📦 Resources

Resources expose economic calendar events for fixed time windows or a custom date range. They are useful for streaming or subscription-based access to calendar data.

Name Path Description
events_today ffcal://events/today Economic calendar events scheduled for today
events_yesterday ffcal://events/yesterday Events from yesterday
events_tomorrow ffcal://events/tomorrow Events scheduled for tomorrow
events_week ffcal://events/week All events this week
events_this_week ffcal://events/this_week Explicit alias for this week’s events
events_next_week ffcal://events/next_week All events scheduled for next week
events_last_week ffcal://events/last_week Events from last week
events_this_month ffcal://events/this_month All events scheduled for this month
events_next_month ffcal://events/next_month All events scheduled for next month
events_last_month ffcal://events/last_month Events from last month
events_range ffcal://events/range/{start}/{end} Custom date range (YYYY-MM-DD to YYYY-MM-DD)

🛠️ Tools

Tools are direct, parameterized calls that allow you to query economic events dynamically.

Name Type Description Parameters
ffcal_get_calendar_events Tool Retrieve events for a given period time_period (str), start_date (YYYY-MM-DD), end_date (YYYY-MM-DD)

Supported time_period values

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

When custom is used, you must also pass start_date and end_date.


📝 Prompts

Unlike resources (which return structured event data) and tools (which query events dynamically), prompts generate structured text outputs — trader notes, playbooks, and scenario analyses — that can be directly integrated into workflows or reports.

All prompt names are prefixed with the configured namespace (default: ffcal_). If you override NAMESPACE in your .env, replace the prefix accordingly.

Name Description Why Use
ffcal_daily_prep Summarize today’s calendar into a trader prep note. Quick morning scan to know which events matter today.
ffcal_daily_playbook Generate an FX daily trading playbook for today. Structured trade plan aligned with key macro drivers.
ffcal_weekly_outlook Summarize upcoming week’s high-impact events. Helps prepare positioning for the week ahead.
ffcal_weekly_outlook_next_week Draft a Sunday note for next week’s events. Pre-market research note for weekend review.
ffcal_cross_asset_radar Cross-asset spillover radar relevant to FX markets. Highlights risks from equities, bonds, and commodities that may spill into FX.
ffcal_positioning_flow_note Note on positioning, ETF flows, and options expiries. Capture sentiment and positioning context beyond the economic calendar.
ffcal_volatility_grid Weekly event-risk heatmap presented as a grid. Visualize which days/times carry the most volatility risk.
ffcal_trade_map_scenarios Scenario map for a chosen event with trading implications. Anticipate market reactions and map trade scenarios ahead of the release.

💻 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)

⚙️ Configuration

No special config is required, but you may set environment variables.

Variable Default Description
NAMESPACE ffcal MCP namespace for tools/resources
SCRAPER_TIMEOUT_MS 5000 Timeout for Playwright (milliseconds)
LOCAL_TIMEZONE system local (fallback UTC) Local timezone override (e.g., Europe/Luxembourg)
INCLUDE_FIELDS (empty → default fields) Comma-separated list of fields to include, or * for all fields
EXCLUDE_FIELDS (empty → none) Comma-separated list of fields to exclude (applied after INCLUDE_FIELDS)

Include/Exclude Fields

You can control which event fields are returned by the MCP server using INCLUDE_FIELDS and EXCLUDE_FIELDS.

Processing Rules

  1. If both are empty → the server returns a default lean set:

    id, title, currency, impact, datetime, forecast, previous, actual
    
  2. If INCLUDE_FIELDS=* → all available fields are included.

  3. If INCLUDE_FIELDS is set → only the specified fields are included. Example:

    INCLUDE_FIELDS=id,name,currency,date,forecast,previous,actual
    
  4. If both INCLUDE_FIELDS and EXCLUDE_FIELDS are set

    • First, apply INCLUDE_FIELDS.
    • Then, remove any fields listed in EXCLUDE_FIELDS.

Example Configurations

# Default lean set (no INCLUDE/EXCLUDE set)
INCLUDE_FIELDS=
EXCLUDE_FIELDS=

# All fields
INCLUDE_FIELDS=*
EXCLUDE_FIELDS=

# Minimal fields
INCLUDE_FIELDS=id,name,currency,date,forecast,previous,actual

# Include impact fields, but exclude noisy metadata
INCLUDE_FIELDS=impactName,impactClass,date,currency
EXCLUDE_FIELDS=dateline,hasLinkedThreads

Supported Fields

Category Fields
Identity id, ebaseId, title, name, prefixedName, trimmedPrefixedName
Titles soloTitle, soloTitleFull, soloTitleShort
Metadata notice, dateline, country, currency
Links url, soloUrl, editUrl, hasLinkedThreads, siteId
Status Flags hasNotice, hasDataValues, hasGraph, checkedIn, isMasterList, firstInDay, greyed, upNext
Impact impact, impactName, impactClass, impactTitle
Timing datetime, timeLabel, timeMasked, date
Values actual, previous, revision, forecast, leaked, actualBetterWorse, revisionBetterWorse
Display showGridLine, hideHistory, hideSoloPage, showDetails, showGraph, enableDetailComponent, enableExpandComponent, enableActualComponent, showExpanded

Example .env

# =====================================================
# 🌐 MCP Namespace
# =====================================================
# Namespace prefix for all tools and resources.
# Default: ffcal
NAMESPACE=ffcal

# =====================================================
# ⚙️ Scraper Configuration
# =====================================================
# Timeout for Playwright in milliseconds
# Default: 5000 (5s)
SCRAPER_TIMEOUT_MS=2000

# Local timezone override (uses system local if not set)
# Example: Europe/Luxembourg
#LOCAL_TIMEZONE=Europe/Luxembourg

# =====================================================
# 📊 Event Fields
# =====================================================
# Control which fields to include/exclude in normalized event data.
# - If both are empty, only the default lean set of fields is included.
# - If INCLUDE_FIELDS=* → all fields are included.
# - If both are set, INCLUDE_FIELDS is applied first, then EXCLUDE_FIELDS removes fields.

INCLUDE_FIELDS=
EXCLUDE_FIELDS=

# Example usage:
# INCLUDE_FIELDS=id,name,country,currency,date,actual,forecast,previous
# EXCLUDE_FIELDS=notice,dateline,hasLinkedThreads,checkedIn,firstInDay

🧪 Testing

pytest -v

📊 Roadmap

  • [ ] Event filters by currency and impact
  • [ ] Historical event backfill
  • [ ] In-memory caching (to reduce repeated scraping)
  • [ ] Docker container for deployment
  • [ ] MCP prompts for querying events in natural language

🤝 Contributing

  1. Fork this repo
  2. Create a feature branch: git checkout -b feature/my-feature
  3. Commit changes: git commit -m "Add my feature"
  4. Push branch: git push origin feature/my-feature
  5. Open a Pull Request

📜 License

MIT License – see LICENSE for details.

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