"A server for obtaining economic data and reports from reputable sources like FRED and CBOE" matching MCP servers:

An MCP server that provides economic intelligence using FRED data, including series search, metadata, observations, comparisons, and a curated macroeconomic knowledge graph with GraphRAG, digital twin simulation, and explainability.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

A local MCP server that gives Claude and other MCP clients access to Federal Reserve Economic Data (FRED) — 800,000+ economic time series covering GDP, inflation, employment, interest rates, and more.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables users to search, retrieve, and explore economic data series from the Federal Reserve Economic Data (FRED) API using natural language.

Enables AI agents to search and retrieve FRED economic time series, including vintage (as-published) data, with tools for series search, observation retrieval, release calendar, revision history, and more.

Enables searching and retrieving economic data from the Federal Reserve Economic Data (FRED) API, including time series, categories, releases, and popular indicators.

Enables querying and retrieving Federal Reserve Economic Data (FRED) including series, categories, releases, sources, and tags, with support for stdio and HTTP transports and bring-your-own-key authentication.

An MCP server that provides access to the full FRED API (Federal Reserve Economic Data), including the Maps API for regional and geographic data.

Enables LLM agents to query US macroeconomic time series from FRED, including GDP, CPI, unemployment, and interest rates, for contextual research.

Integrates the FRED (Federal Reserve Economic Data) API with MCP, enabling AI assistants to retrieve economic time series data such as GDP, inflation, and interest rates.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Enables users to query and explore economic data from FRED, supporting tools for searching series, retrieving observations, and browsing categories. It provides comprehensive access to financial datasets, including GeoFRED maps and raw endpoint passthrough for advanced research.

Enables pulling live Federal Reserve economic data (SOFR, Treasury yields, Fed funds rate, mortgage rates, CPI, PCE) for CRE capital markets analysis through an MCP client.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Credit and payments for AI agent developers — over MCP. No crypto required