Stock Research MCP Server
Provides comprehensive stock intelligence and technical analysis by integrating Alpha Vantage and Finnhub data. It enables users to generate detailed research reports and retrieve real-time market metrics, indicators, and news sentiment.
README
Stock Research MCP Server (Python)
Production-grade MCP server for stock intelligence with:
- Alpha Vantage + Finnhub provider fallback
- Deterministic indicators/metrics/scoring
- Claude narrative analysis constrained to computed data
- Dual MCP transport modes:
stdio(Claude Desktop local) andhttpwith selectable SSE/streamable endpoints (Render)
File Tree
mcp_server/
├── main.py
├── tools/
│ └── stock_tools.py
├── providers/
│ ├── base.py
│ ├── alpha_vantage.py
│ ├── finnhub.py
│ └── router.py
├── scoring/
│ └── engine.py
├── indicators/
│ └── technical.py
├── analysis/
│ ├── metrics.py
│ ├── signal_engine.py
│ └── claude_engine.py
├── schemas/
│ └── models.py
├── config/
│ └── settings.py
└── utils/
├── logging.py
└── http.py
tests/
├── test_indicators.py
├── test_metrics.py
└── test_scoring.py
Requirements
- Python 3.11+
- API keys:
CLAUDE_API_KEYALPHA_VANTAGE_API_KEYFINNHUB_API_KEY
Setup
python -m venv .venv
. .venv/Scripts/activate
pip install -r requirements.txt
copy .env.example .env
Run (Claude Desktop local via stdio)
Set in .env:
TRANSPORT_MODE=stdio
Run:
python -m mcp_server.main
Run (Render remote via HTTP)
Set in .env:
TRANSPORT_MODE=http
HTTP_TRANSPORT=sse # or streamable
HOST=0.0.0.0
PORT=8000
Run:
python -m mcp_server.main
Tools
- Existing research/report tools:
stock_research_report(primary)analyze_stockget_priceget_ohlcvget_technicalsget_fundamentalsget_news_sentiment
- Trading-style tools:
get_stock_priceget_quoteget_company_profileget_candlesget_stock_newsget_rsiget_macdget_key_financials
Tests
pytest -q
Render Deployment
- Push repo to GitHub.
- Create a Render Web Service.
- Build command:
pip install -r requirements.txt
- Start command:
python -m mcp_server.main
- Environment variables:
TRANSPORT_MODE=httpHTTP_TRANSPORT=sse(orstreamable)HOST=0.0.0.0PORT=8000CLAUDE_API_KEY,ALPHA_VANTAGE_API_KEY,FINNHUB_API_KEY
- MCP endpoints:
- SSE mode (
HTTP_TRANSPORT=sse):https://<render-service-domain>/ssehttps://<render-service-domain>/messages/(POST)
- Streamable mode (
HTTP_TRANSPORT=streamable):https://<render-service-domain>/mcp
- SSE mode (
- Optional health check endpoint:
https://<render-service-domain>/health
Claude Desktop Config (local stdio)
Example MCP server entry:
{
"mcpServers": {
"stock-research": {
"command": "python",
"args": ["-m", "mcp_server.main"],
"env": {
"TRANSPORT_MODE": "stdio",
"CLAUDE_API_KEY": "YOUR_KEY",
"ALPHA_VANTAGE_API_KEY": "YOUR_KEY",
"FINNHUB_API_KEY": "YOUR_KEY"
}
}
}
}
Transport Notes
TRANSPORT_MODE=auto(default) auto-selects:httpwhen hosted (PORTorRENDERenv present)stdiolocally
HTTP_TRANSPORT=sseuses:GET /ssePOST /messages/
HTTP_TRANSPORT=streamableuses:POST /mcp
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.