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glaksmono/finbud-data-mcp

by Various

AI & Developer centric financial data API

G

MCP

glaksmono/finbud-data-mcp

Added 1 June 2026

#financial-data #financial-markets #mcp #mcp-server

Overview

A TypeScript-based MCP server that provides a financial data API for AI agents and developers. It exposes structured market data endpoints that can be consumed by LLMs or custom toolchains.

Best for

Best for
Developers who need a quick MCP bridge to financial data for AI experiments or small-scale tools

Use cases

  • Fetch real-time or historical stock prices for analysis
  • Integrate financial data into AI agent workflows
  • Build automated trading or portfolio monitoring tools

How to use

Install

npm install finbud-data

Example client config

{\n  "apiKey": "YOUR_API_KEY",\n  "maxRetries": 2,\n  "timeout": 60000,\n  "logLevel": "warn",\n  "logger": null,\n  "fetch": null,\n  "fetchOptions": {}\n}

Notes

A TypeScript-based MCP server that provides a financial data API for AI agents and developers. It exposes structured market data endpoints that can be consumed by LLMs or custom toolchains.

4 stars on GitHub. Last updated 2025-06-21. Licensed Apache-2.0.

Use cases

  • Fetch real-time or historical stock prices for analysis
  • Integrate financial data into AI agent workflows
  • Build automated trading or portfolio monitoring tools

Pros

  • Simple MCP interface works with any MCP-compatible client
  • TypeScript codebase is easy to extend or debug
  • Lightweight and focused on a single data domain

Cons

  • Limited to data provided by the underlying API (no guarantee of coverage)
  • No built-in caching or rate limiting for high-frequency use
  • Documentation and community support are minimal

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple MCP interface works with any MCP-compatible client
  • TypeScript codebase is easy to extend or debug
  • Lightweight and focused on a single data domain

Cons

  • Limited to data provided by the underlying API (no guarantee of coverage)
  • No built-in caching or rate limiting for high-frequency use
  • Documentation and community support are minimal
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