MCP Server For Alpha Vantage

Created By
nazimboudeffaa year ago
Overview

what is MCP Server For Alpha Vantage?

MCP Server For Alpha Vantage is a server application designed to interface with the Alpha Vantage API, allowing users to access financial data and analytics.

how to use MCP Server For Alpha Vantage?

To use the MCP Server, clone the repository, install the necessary dependencies, set up your API key in a .env file, and run the server using the provided command.

key features of MCP Server For Alpha Vantage?

  • Easy setup with Python and uv package manager
  • Compatibility with MCP clients like Claude for Desktop
  • Access to real-time financial data from Alpha Vantage

use cases of MCP Server For Alpha Vantage?

  1. Fetching stock market data for analysis.
  2. Integrating financial data into applications.
  3. Building custom financial dashboards.

FAQ from MCP Server For Alpha Vantage?

  • What are the prerequisites for using MCP Server?

You need Python 3.12+, the uv package manager, and an MCP-compatible client.

  • Is there a demo API key available?

Yes, you can use the demo API key provided in the setup instructions.

  • Can I use this server for other financial APIs?

This server is specifically designed for Alpha Vantage, but it can be adapted for other APIs with modifications.

Server Config

{
  "mcpServers": {
    "alphavantage": {
      "command": "C:\\Users\\YOU_USERNAME\\AppData\\Local\\Programs\\Python\\Python313\\Scripts\\uv.EXE",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "C:\\Users\\YOUR_USERNAME\\Documents\\GitHub\\mcp-server-alphavantage\\server.py"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
nazimboudeffa
Star
-
Language
-
License
-

Recommend Servers

View All
Mnemom

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Docwand

13 hours ago