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    • What is FMCP
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  • FMCP
    • Protocol Overview
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  • Core Purpose: Bridging the Semantic Gap
  • Why FMCP is Necessary
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  1. FMCP

Protocol Overview

The Financial Model Context Protocol (FMCP) is an open standard specifically designed for finance. It serves as the foundational semantic layer that enables AI agents to reliably understand and interact with diverse financial systems, both centralized (CeFi) and decentralized (DeFi).

Core Purpose: Bridging the Semantic Gap

The primary goal of FMCP is to provide a shared language for AI in finance. It achieves this by defining:

  • Standardized Schemas: Common data structures for representing financial entities, instruments, and market data. This ensures that an AI agent interprets, for example, an 'ETH-Arbitrum-USDC-Pool-LP-Token' consistently, regardless of the underlying platform.

  • Standardized Operations: Clearly defined actions and their expected behaviors, such as provide_liquidity, claim_rewards, place_order, or swap_assets. This allows agents to perform operations reliably across different exchanges or protocols.

  • Rich Contextual Interactions: Mechanisms for agents to receive and understand responses from financial systems in a way that provides actionable context. This goes beyond simple data retrieval, enabling agents to make informed decisions based on the feedback they receive.

Why FMCP is Necessary

Generic agent interaction protocols (like MCP or A2A) or fragmented traditional financial APIs fall short because they lack embedded deep financial semantics. FMCP addresses this by:

  • Standardizing Assets: Providing a clear and unambiguous way to identify and describe financial assets across different chains, layers, and platforms.

  • Standardizing Actions: Ensuring that financial operations have consistent meaning and parameters.

  • Embedding Financial Semantics: Building in the vocabulary and understanding of core financial concepts directly into the protocol.

By providing this robust semantic framework, FMCP empowers AI agents to move beyond simple automation and achieve a higher degree of financial intelligence, adaptability, and autonomy when interacting with the complex financial world. It is the key to unlocking reliable and sophisticated agent-driven financial applications.

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Last updated 29 days ago