Quant Research MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 84 installs a week from pypi. Last commit 13 Jun 2026.
Paper-backed quant trading methods and a deterministic, no-LLM decision helper for serious traders.
Today is the operative word: we check Quant Research MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add quant-research-mcp -- uvx quant-research-mcp
{
"mcpServers": {
"quant-research-mcp": {
"command": "uvx",
"args": [
"quant-research-mcp"
]
}
}
}
[mcp_servers.quant-research-mcp]
command = "uvx"
args = ["quant-research-mcp"]
{
"mcpServers": {
"quant-research-mcp": {
"command": "uvx",
"args": [
"quant-research-mcp"
]
}
}
}
{
"servers": {
"quant-research-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"quant-research-mcp"
]
}
}
}
Deterministic stock screening, backtesting, and factor analysis for AI trading agents
Quant research, backtesting, marketplace subscriptions, editable forks, copy trading, and execution.
MCP server for end-to-end trading on Kalshi prediction markets: discover, research, trade.
Honest backtests and paper trading for US options and equities, driven by your agent.
Backtest plain-English trading strategies on real market data: graded results, honesty flags.
Connect AI assistants to eToro for portfolio analysis, market research, and trading.
MCP server for jPOS and ISO 8583. Deterministic payment protocol tools for AI agents.
The data and trading platform for AI: decades of US market data, backtests in seconds.
Answers built from our own checks of this server.