Zero "Glue Code": You don't need to write Python scripts to fetch data, parse JSON, and feed it to the LLM. The MCP server handles the data fetching automatically.
Smarter Agents: Instead of hallucinating financial data, your AI agent has a direct, real-time line to FMP's database. It can "call" the right tool exactly when it needs to answer a question.
Token Efficiency: You no longer need to paste massive API documentation into the prompt to teach the AI how to use FMP. The protocol handles the tool definitions efficiently, saving your context window for actual analysis.

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