financedeveloper-tools

mcp-byul

byul-ai

by byul-ai

mcp-byul: Access real-time financial data via the Byul API — breaking economic news, Fear & Greed Index, and a global ec

The Byul Finance MCP provides real-time financial data via the Byul API, including breaking economic news, the Fear & Greed Index, and an economic calendar for global events.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Real-time financial dataRequires Byul API keyNode.js 18+ required

best for

  • / Financial analysts tracking market news
  • / Developers building trading apps
  • / Investors researching specific stocks
  • / Economic research and analysis

capabilities

  • / Fetch breaking financial news
  • / Search news by company symbol
  • / Filter news by importance level
  • / Query economic calendar events
  • / Access Fear & Greed Index data
  • / Paginate through historical news

what it does

Provides real-time financial data via the Byul API including breaking economic news, Fear & Greed Index, and economic calendar events.

about

mcp-byul is an official MCP server published by byul-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. mcp-byul: Access real-time financial data via the Byul API — breaking economic news, Fear & Greed Index, and a global ec It is categorized under finance, developer tools.

how to install

You can install mcp-byul in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

mcp-byul is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

@byul/mcp

Compliant with the latest Model Context Protocol (MCP) specification.

Links

Overview

@byul/mcp is a stdio-based MCP server that proxies the Byul REST API. It exposes a small set of MCP tools and a resource that forward requests to Byul endpoints and return the original JSON response, plus a short article-count summary string.

Requirements

  • Node.js 18+
  • BYUL_API_KEY environment variable

Quick start

BYUL_API_KEY=byul_xxxxxxxxxxxxx npx -y @byul/mcp

Configuration

Register this server as an MCP provider in your LLM client. The client will launch the server via stdio and communicate using JSON-RPC over stdin/stdout.

Parameters

  • Tools (summary; see @docs for the full spec)
    • news_fetch → proxies GET /news with filters: limit, cursor, sinceId, minImportance, q, symbol, startDate, endDate
  • Resource (summary; see @docs for the full spec)
    • byul://news{?limit,cursor,sinceId,minImportance,q,symbol,startDate,endDate}

Each response contains:

  • A summary string like “Returned N articles”
  • The original JSON payload from the Byul API

Available Tools

news_fetch

  • Description: Fetch latest financial news
  • Parameters:
    • limit (number, optional) – number of articles (1-100)
    • cursor (string, optional) – pagination cursor from previous page
    • sinceId (string, optional) – return articles created after this ID
    • minImportance (number, optional) – minimum importance (1-10)
    • q (string, optional) – search query
    • symbol (string, optional) – stock symbol (e.g., AAPL)
    • startDate (string, optional) – ISO 8601 start timestamp (UTC)
    • endDate (string, optional) – ISO 8601 end timestamp (UTC)
  • Example request:
Fetch top 5 news articles about AAPL from the past week

Security

  • Provide the API key via the BYUL_API_KEY environment variable only. Do not hardcode credentials in code or configs.

Platform setup

1) Cursor (latest)

~/.cursor/mcp.json or project .cursor/mcp.json:

{
  "mcpServers": {
    "byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": { "BYUL_API_KEY": "byul_xxxxxxxxxxxxx" }
    }
  }
}

2) Claude Code (VS Code extension)

CLI

claude mcp add -e BYUL_API_KEY=byul_xxxxxxxxxxxxx --scope user byul npx -- -y @byul/mcp

Settings JSON

{
  "mcpServers": {
    "byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": { "BYUL_API_KEY": "byul_xxxxxxxxxxxxx" }
    }
  }
}

3) Claude Desktop

claude_desktop_config.json:

{
  "mcpServers": {
    "byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": { "BYUL_API_KEY": "byul_xxxxxxxxxxxxx" }
    }
  }
}

4) VS Code

Workspace .vscode/mcp.json:

{
  "mcpServers": {
    "byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": { "BYUL_API_KEY": "byul_xxxxxxxxxxxxx" }
    }
  }
}

5) Windsurf

windsurf_mcp.json:

{
  "mcpServers": {
    "mcp-server-byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": {
        "BYUL_API_KEY": "byul_xxxxxxxxxxxxx"
      }
    }
  }
}

6) Gemini CLI

~/.gemini/settings.json:

{
  "mcpServers": {
    "byul": {
      "command": "npx",
      "args": ["-y", "@byul/mcp"],
      "env": { "BYUL_API_KEY": "byul_xxxxxxxxxxxxx" }
    }
  }
}

If the mcpServers object does not exist, create it. This package supports stdio (local) transport only.

Troubleshooting

  • Missing API key

    • Error example: Missing BYUL_API_KEY environment variable
    • Fix: set BYUL_API_KEY in your environment before launching the server
  • Corporate proxy / firewall

    • npx must reach the registry to download @byul/mcp on first run; configure your proxy settings accordingly
  • Windows / WSL path and env

    • PowerShell example:
      $env:BYUL_API_KEY = "byul_xxxxxxxxxxxxx"
      npx -y @byul/mcp
      
  • Transport scope

    • This package covers only stdio transport. HTTP/SSE transports are intentionally not covered in this guide.

Compliant with the latest Model Context Protocol (MCP) specification.

FAQ

What is the mcp-byul MCP server?
mcp-byul is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for mcp-byul?
This profile displays 57 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.657 reviews
  • Tariq Gonzalez· Dec 24, 2024

    Strong directory entry: mcp-byul surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hana Jackson· Dec 24, 2024

    According to our notes, mcp-byul benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Dec 20, 2024

    I recommend mcp-byul for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Tariq Sanchez· Dec 20, 2024

    I recommend mcp-byul for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anika Desai· Dec 12, 2024

    We evaluated mcp-byul against two servers with overlapping tools; this profile had the clearer scope statement.

  • Nikhil Li· Nov 15, 2024

    I recommend mcp-byul for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Amina Ramirez· Nov 15, 2024

    mcp-byul has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Yash Thakker· Nov 11, 2024

    Strong directory entry: mcp-byul surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Daniel Zhang· Nov 11, 2024

    Strong directory entry: mcp-byul surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hana Khan· Nov 3, 2024

    mcp-byul is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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