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Marketaux MCP Server

MCP Server

Real-time news search via Marketaux API

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About

Provides a Model Context Protocol server that queries the Marketaux API for news articles based on entities, symbols, industries, countries, and date ranges. Useful for integrating up-to-date financial news into conversational agents.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Marketaux MCP Server

The Marketaux MCP Server bridges the gap between AI assistants and real‑time financial news by exposing Marketaux’s search API as a set of MCP tools. For developers building AI workflows that require up‑to‑date market intelligence, this server eliminates the need to write custom HTTP clients or manage authentication flows. By simply adding a configuration entry, Claude (or any MCP‑compatible assistant) can query news articles, press releases, and other financial documents filtered by entity, industry, country, or ticker symbol—all through a single tool call.

What problem does it solve?

Financial analysts and traders often need to surface relevant news for a specific company or sector within seconds. Traditional approaches involve manual API requests, data parsing, and context management. The Marketaux MCP Server automates this pipeline: it handles API key storage, request construction, and response formatting so the assistant can focus on reasoning. This reduces boilerplate code, speeds up prototype development, and ensures that the assistant’s responses are grounded in fresh market data.

Core capabilities

  • Entity‑centric search: Filter results by ticker symbols, company names, or industry classifications.
  • Geographic targeting: Narrow down news to specific countries, useful for regional market analysis.
  • Temporal controls: Specify publication dates (, , or exact day) to capture the latest events or historical trends.
  • Language selection: Retrieve articles in a preferred language, enabling multilingual support for global teams.

All these parameters are exposed through the tool, which internally calls Marketaux’s “search all” endpoint. The server returns structured JSON that the assistant can parse and embed directly into responses or dashboards.

Use cases

  • Real‑time alerting: A trading bot can ask the assistant to fetch news about a stock that just hit a new high, then decide whether to adjust positions.
  • Research assistants: Academic researchers can query sector‑specific news archives to support literature reviews or sentiment studies.
  • Compliance monitoring: Compliance officers can request all news related to a regulated entity within a fiscal quarter, ensuring timely risk assessments.
  • Portfolio insights: Portfolio managers can ask for recent news across multiple holdings, receiving a consolidated briefing that the assistant formats into a concise report.

Integration with AI workflows

Once configured, the server appears as an available tool in Claude’s environment. Developers can chain it with other MCP tools—such as data retrieval or sentiment analysis—to build sophisticated, multi‑step pipelines. Because the server handles authentication via an environment variable (), it fits neatly into CI/CD pipelines and containerized deployments. The tool’s declarative interface also allows developers to expose only the parameters they need, keeping prompts clean and focused.

Unique advantages

  • Zero‑code integration: No custom HTTP client or API wrapper is required; the MCP server encapsulates all network logic.
  • Secure key management: API keys are stored in environment variables, preventing accidental exposure in code repositories.
  • Free tier compatibility: Designed to work with Marketaux’s free endpoint, making it accessible for hobbyists and small teams.
  • Community‑approved: Added to the popular list, indicating trust and reliability within the MCP ecosystem.

In summary, the Marketaux MCP Server empowers AI assistants to deliver timely, entity‑focused financial news with minimal setup. By turning a complex external API into a simple tool call, developers can accelerate the creation of data‑driven applications and enhance decision‑making workflows across finance, research, and compliance domains.