# RSI Calculator MCP for AI Agents AI Agent Connect

> RSI Calculator MCP for technical analysis. This tool lets your AI agent calculate Relative Strength Index values using Wilder's smoothing, SMA, or EMA. It also identifies overbought and oversold market conditions and detects momentum shifts through price and RSI divergence.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_bvxyql7LqzuwVHZN7jkgyVuTknYi0qiEqQlNgvtx/ai-agent-connect
- **Tags:** rsi, trading, momentum, indicators, quant

## Description

Technical analysis usually requires jumping between spreadsheets and charting platforms to manually calculate momentum indicators. This MCP changes that by giving your AI client the ability to perform precise quantitative calculations on demand. Instead of you feeding raw price data into a prompt and hoping the math is right, your agent can now run deterministic RSI calculations using standard methods like Wilder's smoothing, SMA, or EMA. It goes beyond basic math by spotting market extremes and identifying when price action and momentum are moving in opposite directions. Whether you are building a trading bot or just want a smarter way to analyze market trends, this tool acts as a reliable bridge for any agent performing financial math. You can connect to this through the Vinkius catalog and immediately start running momentum checks without setting up local math libraries or complex environments.

## Tools

### analyze_rsi_extremes
Checks if RSI values indicate overbought or oversold market conditions. This helps your agent identify potential trend reversals.

### calculate_rsi
Computes the Relative Strength Index using Wilder's, SMA, or EMA. It provides the exact math needed for technical charting.

### detect_divergence
Finds mismatches between price movement and RSI momentum. This identifies hidden shifts in market strength.

## Prompt Examples

**Prompt:** 
```
Calculate the RSI for these closing prices: [44.3, 44.8, 45.1, 44.9, 45.5, 46.0, 45.8, 46.2, 46.5, 47.0, 46.8, 47.2, 47.5, 48.0] using wilders smoothing.
```

**Response:** 
```
The calculated RSI for the provided price series using Wilder's smoothing is **68.42**.
```

**Prompt:** 
```
Is an RSI value of 75 considered overbought?
```

**Response:** 
```
Yes, an RSI value of 75 is considered **overbought**. 

In technical analysis, an RSI above 70 typically indicates that an asset is overextended to the upside, suggesting a potential pullback or reversal.
```

**Prompt:** 
```
Check if there is a divergence between these prices [100, 105, 110, 108] and these RSI values [50, 55, 52, 54].
```

**Response:** 
```
A **bearish divergence** was detected.

| Metric | Value |
| :--- | :--- |
| Price Trend | Higher Peak (110) |
| RSI Trend | Lower Peak (55) |

Because the price reached a higher peak while the RSI reached a lower peak, momentum is weakening despite the price increase.
```

## Capabilities

### Calculate momentum indicators
Your agent computes precise RSI values using Wilder's, SMA, or EMA smoothing methods.

### Spot market extremes
Identify when an asset is overbought or oversold based on specific RSI thresholds.

### Detect momentum shifts
Find bearish or bullish divergences where price and momentum move in different directions.

### Perform quantitative analysis
Run deterministic math on price series to get reliable technical signals.

## Use Cases

### Automated Trend Reversal Detection
A trader asks their agent to watch a price series and alert them when RSI hits extreme levels using analyze_rsi_extremes.

### Spotting Bearish Divergences
An analyst uses detect_divergence to see if a rising price trend is actually losing momentum.

### Custom Momentum Calculation
A developer uses calculate_rsi to generate specific RSI values for a custom trading strategy.

### Backtesting Signal Accuracy
A quant uses the tool to verify if historical RSI extremes would have predicted specific market moves.

## Benefits

- Eliminate manual math errors by letting your agent run deterministic RSI calculations.
- Identify market reversals faster using analyze_rsi_extremes to spot overbought conditions.
- Catch hidden momentum shifts by using detect_divergence to find price/RSI mismatches.
- Switch between Wilder's, SMA, and EMA smoothing methods instantly with calculate_rsi.
- Reduce the need for complex local Python environments for simple technical indicators.

## How It Works

The bottom line is your agent gets a reliable math engine for technical momentum analysis.

1. Connect your AI client to the RSI Calculator via Vinkius
2. Provide a list of closing prices or existing RSI values to your agent
3. Receive specific signals like divergence alerts or overbought/oversold status

## Frequently Asked Questions

**How can I use the RSI Calculator MCP for my trading bot?**
You can provide price data to your agent, and it will use the RSI Calculator MCP to generate momentum signals, identify overbought conditions, or detect divergences to trigger your bot's logic.

**Does the RSI Calculator MCP support different smoothing methods?**
Yes, you can choose between Wilder's smoothing, Simple Moving Average (SMA), or Exponential Moving Average (EMA) for your RSI calculations.

**Can this RSI Calculator MCP find bearish divergences?**
Yes, it includes a specific tool to detect when price action and RSI momentum are moving in opposite directions, which is a key signal for trend reversals.

**How do I know if an asset is overbought using this MCP?**
You can use the tool to check RSI extremes. If the RSI value exceeds standard thresholds like 70, your agent will identify the asset as overbought.

**Is the RSI math in this MCP accurate?**
Yes, the calculations are deterministic. This means your agent performs exact mathematical operations rather than estimating values, ensuring consistent results every time.

**What smoothing methods are supported?**
The server supports Wilder's smoothing, Simple Moving Average (SMA), and Exponential Moving Average (EMA).

**How do I detect market reversals?**
You can use `analyze_rsi_extremes` to find overbought or oversold signals, or `detect_divergence` to find discrepancies between price action and RSI momentum.

**Can I use this with Cursor or Claude Desktop?**
Yes, this MCP server can be connected to Cursor, Claude Desktop, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.