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Finance and payments · MCP server

Quantoracle: MCP server, setup and security

Quantoracle is an open-source MCP server published on GitHub that lets an AI agent price options, calculate risk metrics and optimize financial portfolios. Its repository has 13 stars and its last commit is from October 22, 2026 and it is licensed under MIT.

Score
61/100
Adoption (stars) 11/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Quantoracle does

According to its repository: “Deterministic quant finance tools: options pricing, risk metrics, portfolio optimization, Monte Carlo, technical indicators, crypto/DeFi and FX/macro.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Quantoracle is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #99 by stars.

Topics declared by the repository: backtesting, black-scholes, crypto, defi, derivatives, fastapi.

Installing and connecting Quantoracle

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Quantoracle. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 4, 2026, the QuantOracledev/quantoracle repository has 13 stars and 2 forks, with 1 open issues. It has more stars than 31% of the servers in the directory. It received changes this month. Version published in the registry: 2.4.2 (May 31, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Finance ToolkitFinance Toolkit : 5.5K5.5KTradingMCPTradingMCP : 5.1K5.1KTradememory protocolTradememory protocol : 1.4K1.4KCNEquityCNEquity : 846846Metatrader MCP serverMetatrader MCP server : 837837EVMoleEVMole : 473473OpenAccountantsOpenAccountants : 460460AkTools MCP ServerAkTools MCP Server : 391391QuantoracleQuantoracle : 1313
GitHub stars of the most followed servers in the category (log scale); Quantoracle in orange. Checked October 25, 2026.

Verdict

Quantoracle is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Quantoracle?

Quantoracle is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of QuantOracledev/quantoracle.

Is Quantoracle free?

The code is published under the MIT licence and can be used free of charge.

Is Quantoracle safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by QuantOracledev on GitHub. Check who maintains it before giving it access.

What are the alternatives to Quantoracle?

In the same category: TradingMCP, Finance Toolkit, Tradememory protocol, and Tapetide Indian Stock Market MCP. TradingMCP and Finance Toolkit score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score