Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Screener MCP Server compare HDFC Bank and ICICI Bank"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for Indian stock market data — search companies, analyze fundamentals, compare stocks, browse sectors and screens. Powered by screener-unofficial-api.
Tool | Description |
| Search companies by name |
| Full company snapshot (overview, ratios, analysis) |
| Single financial tab (ratios, P&L, balance-sheet, etc.) |
| Side-by-side comparison of 2+ companies |
| Browse 50+ market sectors |
| Companies in a specific sector |
| Browse/search public stock screens |
| Run a screen and get matching companies |
| Top sectors + trending screens |
| Verify API connectivity |
Related MCP server: india-stock-mcp
URI | Content |
| Company profile |
| Sector listing |
| Screen results |
Prompt | Workflow |
| Guided company deep-dive |
| Find stocks matching criteria |
| Structured comparison |
git clone https://github.com/sahiljani/screener-mcp-server.git
cd screener-mcp-server
pip install -e .Add to ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"screener": {
"command": "python3",
"args": ["-m", "screener_mcp.server"],
"cwd": "/path/to/screener-mcp-server",
"env": {
"SCREENER_API_BASE_URL": "https://screener.janisahil.com",
"PYTHONPATH": "/path/to/screener-mcp-server/src"
}
}
}
}Add to ~/.claude/settings.json:
{
"mcpServers": {
"screener": {
"command": "python3",
"args": ["-m", "screener_mcp.server"],
"cwd": "/path/to/screener-mcp-server",
"env": {
"SCREENER_API_BASE_URL": "https://screener.janisahil.com",
"PYTHONPATH": "/path/to/screener-mcp-server/src"
}
}
}
}Restart Claude Code/Desktop after adding the config.
# 1. Run the screener API locally
git clone https://github.com/sahiljani/screener-unofficial-api.git
cd screener-unofficial-api
pip install -r requirements.txt
uvicorn app.main:app --port 8098
# 2. Point MCP server to localhost
export SCREENER_API_BASE_URL=http://127.0.0.1:8098Variable | Default | Description |
|
| Screener API base URL |
| (none) | Optional API key |
|
| HTTP request timeout |
MCP Python SDK (FastMCP)
httpx (async HTTP)
screener-unofficial-api (data source)
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
MFAPI.in MCP — Indian mutual-fund NAV (net asset value) data.
SEBI orders, RBI notifications, MCA filings, NSE/BSE announcements, AMFI NAV.
Twelve Data MCP: real-time & historical market data (stocks, crypto, forex, etc).
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sahiljani/screener-mcp-server'
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