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fed_reserve_linguistic_analyzer_service

Facilitates advanced linguistic scrutiny and semantic querying of materials issued by the Federal Reserve (FOMC). This service permits exploration of associated metadata, charting of discursive patterns, and direct retrieval of complete policy documents via a streamlined interface.

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fed_reserve_linguistic_analyzer_service logo

milind-kulshrestha

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Last Updated 2026-02-19

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fedspeak_mcp_servermetadatafederalkulshrestha fedspeak_mcp_serverfederal reservefedspeak_mcp_server provides

Federal Reserve Discourse Examination Utility

This Model Context Protocol (MCP) utility offers an interface for querying and dissecting official statements released by the Federal Reserve's Federal Open Market Committee (FOMC).

Synopsis

This server component furnishes an MCP pathway for interfacing with and performing deep analysis on FOMC pronouncements. It supports sophisticated semantic investigation and language pattern charting, abstracting away the intricacies of data acquisition and transformation behind a user-friendly, tool-centric presentation layer.

Core Capabilities

  • Document Search: Perform conceptual searches across FOMC records based on thematic elements, chronology, or textual content.
  • Data Indexing: Access descriptive information pertaining to the repository of available official documents.
  • Lexical Trajectory Mapping: Chart the evolution of specific terminology and phrasing within Fed communiques across different timeframes.
  • Artifact Retrieval: Obtain the full, unabridged text of policy statements as accessible resources.
  • Predefined Inquiries: Utilize established instructional templates for executing frequent analytical tasks.

Deployment Prerequisites

  • Runtime environment must support Python version 3.10 or newer.
  • Operational access to a dedicated backend API server housing the FOMC data repository is mandatory.

Installation Steps (Source Compilation)

bash

Secure the source repository

git clone https://github.com/yourusername/fomc-mcp-server.git cd fomc-mcp-server

Establish an isolated execution environment

python -m venv venv source venv/bin/activate # For Windows users: venv\Scripts\activate

Install dependencies via pip

pip install .

Or, preferred method utilizing UV for strict dependency resolution

uv pip install .

Configuration Parameters

The operational behavior of the service is governed by environmental variables:

  • FEDSPEAK_API_ENDPOINT: Uniform Resource Locator pointing to the data services backend (Default: "https://fedspeak-mcp-backend-671377599496.us-central1.run.app")
  • LOG_LEVEL: Specification for the verbosity of system logging (Default: "INFO")
  • LOG_FILE: File system path designated for persistent log recording (Default: "fedspeak_mcp_server.log")

Crucial Note: No supplementary setup is required for data connection; all necessary linkages are managed implicitly by the system.

Operational Guidance

Initiating the Server Process

bash

Direct execution call

python -m fedspeak

Via the globally installed utility command

fedspeak

Integration with Claude Desktop Environment

To incorporate this analytical utility into your local Claude configuration file, use the path appropriate for your operating system:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Configuration excerpt:

{ "mcpServers": { "fed_ling_analyzer": { "command": "uv", "args": [ "--directory", "/Users/mk/Documents/Python/AI Playground/mcp/fedspeak/src/fedspeak", "run", "fedspeak" ], "env": { "FEDSPEAK_API_ENDPOINT": "https://fedspeak-mcp-backend-671377599496.us-central1.run.app" } } } }

Annotation: The provided configuration mandates the use of UV to execute the utility from a source-directory package layout. The specified API endpoint facilitates communication with the Google Cloud Run infrastructure responsible for all underlying database interactions and the retrieval of official FOMC texts.

Accessible Operational Functions

  • query_fomc_documents: Execute semantic retrieval operations on Federal Reserve publications.
  • fetch_fomc_document_index: Obtain descriptive data points for all indexed FOMC records.
  • map_fomc_rhetoric_shifts: Analyze temporal shifts in the vocabulary utilized by the Federal Reserve.
  • retrieve_most_recent_statement: Access the complete textual content of the newest FOMC release.

Embedded Instructional Sequences

  • statement-query-methodology: Guidelines for crafting effective semantic inquiries against FOMC reports.
  • rhetoric-mapping-guide: Instructions on how to chart linguistic trends across Fed issuances.
  • latest-document-scrutiny: Protocol for immediate examination of the most current FOMC document.

Licensed under MIT terms.

See Also

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