SiftingIO MCP Server
SiftingIO MCP
SiftingIO MCP is a Model Context Protocol server that gives AI agents structured access to financial market data.
Instead of asking an AI agent to search the web for prices, symbols, market hours, fundamentals, or historical data, SiftingIO MCP exposes market data as explicit tools. This helps agent workflows request the right dataset, use the correct symbol, receive structured JSON responses, and avoid guessing or scraping financial information from unstable sources.
SiftingIO MCP is designed for developers building financial AI agents, research assistants, market intelligence tools, portfolio copilots, trading dashboards, internal analytics workflows, and automated reporting systems.
What it provides
SiftingIO MCP connects AI agents to SiftingIO market data APIs, including:
- Symbol lookup
- Live market snapshots
- Real-time price data
- Historical OHLCV data
- Market hours and market status
- Fundamentals and company-level data
- Market news
- Forex, crypto, stocks, commodities, and related datasets
The goal is to make market data available to agents as controlled tools, not as open-ended web search.
Why this matters
Financial AI workflows need fresh, structured, and timestamped data.
A language model may know general financial concepts, but it should not be expected to guess a live price, invent a ticker symbol, scrape a random page, or assume that a market is open. For production workflows, the agent needs clear tools with predictable inputs and outputs.
SiftingIO MCP helps with this by exposing financial data operations through the MCP interface. An agent can call a specific tool for a price snapshot, historical bars, symbol information, market hours, or fundamentals, then use the structured response in its reasoning or final answer.
Example use cases
SiftingIO MCP can support workflows such as:
- Financial research assistants that retrieve prices, symbols, fundamentals, and market context
- AI agents that answer questions about stocks, forex, crypto, commodities, or market hours
- Portfolio copilots that combine asset prices, historical data, and market news
- Trading dashboards that use agents for explanation, monitoring, or workflow automation
- Internal analytics agents that pull structured financial data for reports
- Market intelligence tools that combine live data, historical bars, fundamentals, and news
- Agent workflows that need to check whether a market is currently open before running a task
Available market data categories
Depending on the SiftingIO plan and enabled datasets, the MCP server can be used with SiftingIO data across:
- US equities
- Forex
- Crypto
- Commodities
- DEX datasets
- Fundamentals
- Market news
- Market hours
- Historical OHLCV
Designed for structured agent workflows
SiftingIO MCP is not intended to replace an orchestration layer. The agent framework should still decide what to do, when to call tools, and how to enforce workflow guardrails.
SiftingIO MCP focuses on the data/tool layer: giving the agent safe and explicit market data tools to call.
This is useful when building agents that need to avoid:
- hallucinated ticker symbols
- stale or missing market data
- unsupported market names
- uncontrolled web scraping
- inconsistent financial data formats
- unclear timestamps or market status
Repository
GitHub: https://github.com/SiftingIO/siftingio-mcp-python
SiftingIO resources
Website: https://sifting.io
Documentation: https://sifting.io/docs
Symbol catalog: https://sifting.io/symbols
Market hours: https://sifting.io/market-hours
Integrations: https://sifting.io/integrations
About SiftingIO
SiftingIO provides real-time and historical financial market data APIs for teams building trading platforms, fintech products, analytics tools, dashboards, AI agents, and internal data workflows.
Coverage includes US equities, forex, crypto, commodities, DEX datasets, fundamentals, market news, market hours, and historical OHLCV data through REST and WebSocket APIs.
Server Config
{
"mcpServers": {
"siftingio": {
"command": "siftingio-mcp",
"env": {
"SIFTING_API_KEY": "sft_..."
}
}
}
}