technicalindicators Connector for AI agents.
1 live capability
Generate precise technical indicators for stock and crypto trend analysis.
Waiting for input…
Why people use technicalindicators
Moving Average Engine for Precise Financial Technical Indicators
With the Moving Average Engine, that manual math is gone. You just hand the raw data to your agent, and it uses this Connector to spit out the exact SMA or EMA you need. You get professional-grade technical indicators without the risk of hallucinated figures.
What Vinkius changes
You get mathematically perfect financial indicators instead of AI-generated guesses.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Backtesting Trading Strategies
A researcher asks the agent to find every point where a 50-day SMA crossed above a 200-day SMA in a 10-year dataset to identify historical golden crosses.
- Real-world use case 02
Real-time Crypto Trend Spotting
A trader provides hourly prices for a new token and asks for a 9-period EMA to see if the short-term momentum is shifting.
- Real-world use case 03
Portfolio Health Reporting
An analyst feeds in a year of closing prices for a diverse basket of stocks to generate a summary of moving averages for a quarterly review.
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 moving average
The calculate_moving_average capability computes the exact SMA or EMA for a provided list of numbers. It removes the risk of the AI making math errors on long sequences of price data.
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_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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": {
"moving-average-engine": {
"url": "https://edge.vinkius.com/vk_preview_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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": {
"moving-average-engine": {
"url": "https://edge.vinkius.com/vk_preview_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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": {
"moving-average-engine": {
"url": "https://edge.vinkius.com/vk_preview_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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": {
"moving-average-engine": {
"url": "https://edge.vinkius.com/vk_preview_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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 moving-average-engine --transport http "https://edge.vinkius.com/vk_preview_yObZ9Wa8rWCH5ieIN5NqxTcHgntxaQFBGWm3ngsF/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 quantitative analyst or retail trader who needs precision. If you're tired of your AI hallucinating numbers that don't add up, this is for you.
Quantitative Researcher
Running backtests on historical data where every decimal point matters for accurate strategy validation.
Crypto Trader
Spotting short-term trends in highly volatile markets using EMA signals to time entries and exits.
Financial Data Analyst
Automating the generation of technical indicators for large-scale portfolio reports and quarterly reviews.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMACD & RSI Oscillator Engine
Calculate exact MACD and Relative Strength Index (RSI) technical indicators local for quantitative analysis.
Bollinger Bands Engine
Calculate moving standard deviation and Bollinger Bands for financial time-series deterministically.
Alpha Vantage
Access stock market data via Alpha Vantage. get real-time quotes, time series, technical indicators and crypto/forex data from any AI agent.
Twelve Data
Access real-time stock quotes, crypto prices, forex rates, and technical indicators via AI.
Max Drawdown Calculator
Calculate maximum drawdown, recovery periods, and stress indicators from historical price series.
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.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about technicalindicators.
The practical details behind the request, access and result.
Can the Moving Average Engine handle large datasets?
Yes, it's designed to process long arrays of data that would normally cause an AI to lose track of the numbers.
Does this Connector support both SMA and EMA?
It supports both Simple Moving Averages and Exponential Moving Averages, giving you flexibility for different types of analysis.
Will the Moving Average Engine make mistakes on my stock data?
No, it uses native JavaScript to perform the math, which eliminates the hallucinations common in standard AI models.
Can I use the Moving Average Engine for crypto prices?
Absolutely. It works with any numerical time-series data, including hourly, daily, or weekly crypto prices.
How accurate are the results from the Moving Average Engine?
The results are mathematically exact. It doesn't estimate or approximate; it computes the figures based on the exact numbers you provide.
Do I need to provide the math formulas to the agent?
No, the Connector handles the entire calculation logic for you. You just need to provide the price data and the period you're interested in.
SMA vs EMA?
SMA (Simple Moving Average) weights all data points equally. EMA (Exponential) gives more weight to recent prices, making it react faster to price changes.
How large can the data array be?
It can handle arrays with tens of thousands of data points instantly, limited only by the Context Window used to pass the JSON to the capability.
Is this identical to TradingView?
Yes, it uses the exact same mathematical formulas used by institutional platforms like TradingView and Bloomberg.
One connection away
Give your agent a direct line to technicalindicators.
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