MACD & RSI Oscillator Engine MCP Server for Pydantic AIGive Pydantic AI instant access to 1 tools to Calculate Macd Rsi

Name: MACD & RSI Oscillator Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MACD & RSI Oscillator Engine through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The MACD & RSI Oscillator Engine MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to MACD & RSI Oscillator Engine "
            "(1 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MACD & RSI Oscillator Engine?"
    )
    print(result.data)

asyncio.run(main())

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About MACD & RSI Oscillator Engine MCP Server

The Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) are complex oscillators that require multiple passes of exponential averages. Asking an LLM to compute RSI over 100 days is a guaranteed failure. This engine integrates institutional-grade TS indicator math into the Vinkius edge runtime, providing autonomous trading and analysis agents with perfect signals.

Pydantic AI validates every MACD & RSI Oscillator Engine tool response against typed schemas, catching data inconsistencies at build time. Connect 1 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

The MACD & RSI Oscillator Engine MCP Server exposes 1 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 MACD & RSI Oscillator Engine tools available for Pydantic AI

When Pydantic AI connects to MACD & RSI Oscillator Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning technical-analysis, trading-signals, quantitative-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate macd rsi on MACD & RSI Oscillator Engine

Provide data array and configuration parameters. Calculates MACD or RSI technical oscillators from a price array

Connect MACD & RSI Oscillator Engine to Pydantic AI via MCP

Follow these steps to wire MACD & RSI Oscillator Engine into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from MACD & RSI Oscillator Engine with type-safe schemas

Why Use Pydantic AI with the MACD & RSI Oscillator Engine MCP Server

Pydantic AI provides unique advantages when paired with MACD & RSI Oscillator Engine through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MACD & RSI Oscillator Engine integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your MACD & RSI Oscillator Engine connection logic from agent behavior for testable, maintainable code

MACD & RSI Oscillator Engine + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the MACD & RSI Oscillator Engine MCP Server delivers measurable value.

Type-safe data pipelines: query MACD & RSI Oscillator Engine with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple MACD & RSI Oscillator Engine tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query MACD & RSI Oscillator Engine and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock MACD & RSI Oscillator Engine responses and write comprehensive agent tests

Example Prompts for MACD & RSI Oscillator Engine in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with MACD & RSI Oscillator Engine immediately.

"Calculate the 14-period RSI for this daily stock price array. Tell me if the final day is below 30 (Oversold)."

"Run the MACD calculator. Check the last 3 days and tell me if the MACD line has crossed above the Signal line (bullish)."

"I see the price making a new high here. Calculate the RSI and tell me if the RSI is making a lower high (bearish divergence)."

Troubleshooting MACD & RSI Oscillator Engine MCP Server with Pydantic AI

Common issues when connecting MACD & RSI Oscillator Engine to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MACD & RSI Oscillator Engine + Pydantic AI FAQ

Common questions about integrating MACD & RSI Oscillator Engine MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your MACD & RSI Oscillator Engine MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.