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QuantOracledev/quantoracle

by Various

63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no s

Q

MCP

QuantOracledev/quantoracle

Added 1 June 2026

#agentkit #ai-agent #backtesting #black-scholes #crypto #defi #derivatives #fastapi

Overview

QuantOracledev/quantoracle is an open-source TypeScript library providing 63 deterministic quant computation tools for autonomous financial agents. It covers options, derivatives, risk, portfolio statistics, crypto/DeFi, macro/FX, and time value of money calculations. The tools offer 1,000 free calls per day with no signup required.

Best for

Best for
Developers building autonomous trading or risk agents that need deterministic quant functions.

Use cases

  • Running automated financial calculations within trading or risk bots
  • Backtesting portfolio statistics and derivative pricing models
  • Integrating deterministic quant functions into DeFi or macro analysis agents

How to use

Install

npx quantoracle-mcp

Tools exposed

  • npx

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT

Notes

QuantOracledev/quantoracle is an open-source TypeScript library providing 63 deterministic quant computation tools for autonomous financial agents. It covers options, derivatives, risk, portfolio statistics, crypto/DeFi, macro/FX, and time value of money calculations. The tools offer 1,000 free calls per day with no signup required.

5 stars on GitHub. Last updated 2026-05-31. Licensed MIT.

Use cases

  • Running automated financial calculations within trading or risk bots
  • Backtesting portfolio statistics and derivative pricing models
  • Integrating deterministic quant functions into DeFi or macro analysis agents

Pros

  • Deterministic outputs are reliable for automated agent workflows
  • Broad coverage of financial domains in a single library
  • High free tier (1,000 calls/day) with no signup barrier

Cons

  • Limited to deterministic computations; no stochastic or simulation methods
  • Dependency on a single GitHub repository for availability
  • Crypto/DeFi tools may lag behind fast-changing protocols

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Deterministic outputs are reliable for automated agent workflows
  • Broad coverage of financial domains in a single library
  • High free tier (1,000 calls/day) with no signup barrier

Cons

  • Limited to deterministic computations; no stochastic or simulation methods
  • Dependency on a single GitHub repository for availability
  • Crypto/DeFi tools may lag behind fast-changing protocols
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