SiftingIO MCP Server

by SiftingIO

350 downloads

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GitHub

Other
API

About

MCP server for connecting AI agents to real-time and historical market data, including symbol lookup, live prices, OHLCV, fundamentals, market hours, and market news.

Details

Author: SiftingIO
Downloads: 350
Categories: Other, API

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name SiftingIO MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

From the repository

Install the server from its GitHub repository (https://github.com/SiftingIO/siftingio-mcp-python) and configure it with your SiftingIO API credentials. Enable the desired market data categories (e.g., US equities, forex, crypto, commodities, fundamentals, market news) based on your SiftingIO plan. The server then exposes MCP tools that the agent framework can call for data retrieval.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "siftingio mcp server": {
            "siftingio": {
                "command": "siftingio-mcp",
                "env": {
                    "SIFTING_API_KEY": "sft_..."
                }
            }
        }
    }
}

McpServers

{
    "siftingio": {
        "command": "siftingio-mcp",
        "env": {
            "SIFTING_API_KEY": "sft_..."
        }
    }
}

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.

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

SiftingIO MCP

What it provides

Why this matters

Example use cases

Available market data categories

Designed for structured agent workflows

Repository

SiftingIO resources

About SiftingIO

Install

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