Deterministic stock screening, backtesting, and factor analysis for AI trading agents
uvx quantcontext-mcpAdd this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-zomma-dev-quantcontext": {
"command": "uvx",
"args": [
"quantcontext-mcp"
]
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
QuantContext is an MCP server for Deterministic stock screening, backtesting, and factor analysis for AI trading agents. It supports STDIO transport.
Use the generated config in Install. This server runs with uvx quantcontext-mcp; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for uvx quantcontext-mcp. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for uvx quantcontext-mcp. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for uvx quantcontext-mcp. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for uvx quantcontext-mcp. Add required environment variables before starting Cursor or VS Code.
QuantContext uses STDIO transport. Use the package or command config in Install.
QuantContext inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
QuantContext does not advertise a verified auth requirement. If discovery fails, it may still need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
quantcontext-mcpstdio | pypi | 0.1.2 | None advertised |