OptionContext
Official MCP Server for Indian Stock Market (NSE & BSE) equities, futures context, and option chains.
README
OptionContext MCP Server
Official Model Context Protocol (MCP) Server for the OptionContext Stock and Options Data APIs. This premium integration delivers rich analytical and structural data for Indian Stock Markets directly into LLM agents and clients supporting the Model Context Protocol.
Installation
You can install the OptionContext MCP package using pip, or run it on-demand with Node and LLM-centric workflows.
Installation via pip
pip install optioncontext_mcp
Direct Run with uvx (Python environment)
uvx optioncontext-mcp
Configuration
To use the OptionContext MCP Server, you must specify your API key and base endpoint URL. You can configure these options via environment variables:
OPTIONCONTEXT_API_KEY: Your Agent-as-a-Service API key.OPTIONCONTEXT_BASE_URL: The OptionContext endpoint gateway URL (defaults tohttps://mcp.optioncontext.comif omitted).
For local or custom API gateway environments, OPTIONCONTEXT_BASE_URL will fallback automatically to FASTAPI_BASE_URL if defined.
Available Tools
The MCP Server exposes the following powerful market analytical tools to any connected client:
-
suggest_symbols- Description: Search and resolve correct ticker symbols (e.g., searching 'Reliance' to get 'RELIANCE').
- Arguments:
query(string): The search text or company name.
-
get_market_context- Description: Fetch live quote details, last traded price (LTP), volume, and context for Stocks, Indices, and Futures.
- Arguments:
symbol(string): Ticker symbol (e.g. 'NIFTY', 'BANKNIFTY', 'RELIANCE').expiry(string, optional): Expiry cycle ('SPOT', 'NEAR', 'FAR', 'NEXT'). Default is 'SPOT'.asset_type(string, optional): Asset category ('stock', 'index', 'future', 'auto'). Default is 'auto'.api_key(string, optional): Override API Key. If omitted, uses environment key.
-
get_option_chain- Description: Fetch complete option chain matrix including PCR, ATM strike, CE/PE quotes, volume, and Greeks.
- Arguments:
symbol(string): Underlying index or stock ticker (e.g. 'NIFTY', 'BANKNIFTY').api_key(string, optional): Override API Key. If omitted, uses environment key.
-
get_historical_data- Description: Fetch historical daily/intraday OHLCV candles (Requires Plan B subscription).
- Arguments:
symbol(string): Ticker symbol.from_date(string): YYYY-MM-DD.to_date(string): YYYY-MM-DD.interval(string, optional): Candle interval ('ONE_MINUTE', 'FIVE_MINUTE', 'FIFTEEN_MINUTE', 'ONE_DAY'). Default is 'ONE_DAY'.api_key(string, optional): Override API Key.
Disclaimer & Risk Warning:
- Data Delay: All market prices, quotes, and option chains provided represent the last completed minute (minimum 1-minute delayed feed) and are not real-time tick feeds.
- Accuracy: Data is provided on an 'as-is' basis without warranties of absolute accuracy or timeliness.
- No Liability: The service is strictly for analytical/educational purposes. We assume no liability for any trading losses or investment decisions.
- Regulatory Risk Disclosure: Trading in derivatives (options and futures) involves high risk. Past performance is not indicative of future results.
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.