Schema | forex-predict-mcp

forex-predict-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
get_market_featuresA	Fetch and compute the feature vector for a forex pair. ticker: 'EURUSD=X' or 'GBPUSD=X' Returns {ticker, as_of, features: {feature_name: value}} on success, or {error: reason} if the ticker is unsupported or data cannot be fetched. Call this first, inspect the features, then pass them to get_forex_signal.
get_forex_signalA	Run the XGBoost model with pre-computed features from get_market_features. ticker: 'EURUSD=X' or 'GBPUSD=X' features: the features dict returned by get_market_features() Returns {ticker, as_of, signal (UP/DOWN), prob_up, confidence} on success, or {error: reason} if features are missing or the ticker is unsupported.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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