technicalindicators Connector for AI agents.
1 live capability
Get precise market volatility indicators for financial time-series analysis.
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Why people use technicalindicators
Bollinger Bands Engine: Ending LLM Math Hallucinations in Trading
This Connector changes that. You just feed the raw price list to your agent, and it gets the exact Upper, Middle, and Lower bands back instantly. It turns a tedious manual calculation into a single, accurate data point.
What Vinkius changes
You get mathematically perfect technical indicators instead of AI hallucinations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Identifying Bollinger Squeezes
A trader asks their agent to find periods where the Bollinger Bands shrink by 50% in a BTC price history to spot potential breakouts.
- Real-world use case 02
Populating Financial Dashboards
A developer uses the Connector to pull 200-day Bollinger Bands for a portfolio of 50 different stocks to display on a web app.
- Real-world use case 03
Detecting Price Breakouts
A researcher asks the agent to list every date where a stock's closing price was strictly greater than its Upper Band.
Complete set · 1capability
The complete technicalindicators capability set.
These are the exact actions your AI can choose when you ask it to work with technicalindicators.
01
1 capability in this set.
Part of 1 available through technicalindicators.
- 01 Capability
Calculate bollinger bands
Give an array of numbers and optional period or stdDev to get exact Upper, Middle, and Lower bands. This allows your agent to perform precise volatility analysis on any price history.
Set up in minutes
One URL. Then ask technicalindicators to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use technicalindicators from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it technicalindicators, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable technicalindicators for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the technicalindicators URL.
- Step 03
Save and start
Save the connection and enable technicalindicators in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"bollinger-bands-engine": {
"url": "https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using technicalindicators
Open Agent mode in chat and ask: "Using technicalindicators, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"bollinger-bands-engine": {
"url": "https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using technicalindicators
Ask Copilot: "Using technicalindicators, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"bollinger-bands-engine": {
"url": "https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using technicalindicators
Open Cascade and ask: "Using technicalindicators, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"bollinger-bands-engine": {
"url": "https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using technicalindicators
Ask Cline: "Using technicalindicators, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add bollinger-bands-engine --transport http "https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using technicalindicators
Ask Claude: "Using technicalindicators, show me...". 1 tools are ready
Where the request belongs
Work technicalindicators can move forward.
This is for the quant trader or fintech developer who can't afford a hallucinated price point. If you're building a trading bot or a portfolio dashboard, you need math that actually works.
Quant Trader
Analyzes crypto or stock price history to find entry and exit points based on volatility.
Fintech Developer
Builds dashboards that need to display technical indicators without writing complex math libraries.
Data Scientist
Processes large time-series datasets to identify market trends and price extremes.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Outlier Detection Engine
Identify statistical anomalies in massive datasets local using deterministic Z-Score and IQR methods. Stop LLMs from guessing which rows are outliers.
Portfolio Volatility Calculator
Calculate asset volatility, pairwise covariance, and portfolio risk metrics.
Beta Calculator
Calculate asset volatility sensitivity, Jensen's Alpha, and risk classification relative to market benchmarks.
Bring your own AI
Change the model, client or framework. Keep technicalindicators connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Void -
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Cherry Studio -
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Chorus -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about technicalindicators.
The practical details behind the request, access and result.
Can Bollinger Bands Engine handle crypto prices?
Yes, it works on any numeric array, so it is perfect for BTC, ETH, or any other asset you track.
Why can't I just let the AI calculate the bands?
AI models are notoriously bad at rolling math. This Connector ensures the numbers are 100% accurate every time you ask.
What periods can I use with Bollinger Bands Engine?
You can set any period you want, like 20, 50, or 200, depending on your specific trading style or analysis needs.
Does it handle the standard deviation too?
Yes, it calculates the rolling standard deviation automatically to form the bands based on your specified multiplier.
Is this for real-time trading?
It is perfect for analyzing price history to find signals or building capabilities that use those signals for automated trading.
What are the default parameters?
The default is a 20-period moving average with a 2.0 standard deviation multiplier, which is the industry standard set by John Bollinger.
How do I spot breakouts?
When prices break above the Upper Band, it signals strong momentum (or overbought conditions). Breaking below the Lower Band signals a sell-off (or oversold conditions).
Can it be used for non-financial data?
Absolutely. Bollinger Bands are just rolling standard deviations. You can use them to detect statistical anomalies in server latency or sensor temperatures.
One connection away
Give your agent a direct line to technicalindicators.
Connect technicalindicators once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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