lindy-deploy-integration

0
0
Source

Configure deployment pipelines for Lindy AI integrations. Use when deploying to production, setting up staging environments, or automating agent deployments. Trigger with phrases like "deploy lindy", "lindy deployment", "lindy production deploy", "release lindy agents".

Install

mkdir -p .claude/skills/lindy-deploy-integration && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8912" && unzip -o skill.zip -d .claude/skills/lindy-deploy-integration && rm skill.zip

Installs to .claude/skills/lindy-deploy-integration

About this skill

Lindy Deploy Integration

Overview

Lindy agents run on Lindy's managed infrastructure. Deployment focuses on your integration layer: webhook receivers, callback handlers, and application code that Lindy agents interact with via HTTP Request actions and webhook triggers.

Prerequisites

  • Lindy agents configured and tested
  • Application with webhook receiver endpoints
  • Deployment platform (Vercel, Railway, Docker, AWS, GCP)
  • Lindy API key and webhook secrets

Instructions

Step 1: Prepare Application for Deployment

// src/server.ts — Production-ready Lindy webhook receiver
import express from 'express';
import helmet from 'helmet';

const app = express();
app.use(helmet());
app.use(express.json({ limit: '1mb' }));

// Health check for load balancer
app.get('/health', (req, res) => {
  res.json({
    status: 'ok',
    timestamp: new Date().toISOString(),
    version: process.env.APP_VERSION || 'unknown',
  });
});

// Lindy webhook receiver with auth verification
app.post('/lindy/callback', (req, res) => {
  const auth = req.headers.authorization;
  if (auth !== `Bearer ${process.env.LINDY_WEBHOOK_SECRET}`) {
    return res.status(401).json({ error: 'Unauthorized' });
  }

  // Respond immediately, process async
  res.json({ received: true });

  // Async processing
  processWebhook(req.body).catch(err => {
    console.error('Webhook processing error:', err);
  });
});

async function processWebhook(payload: any) {
  const { taskId, status, result } = payload;
  // Your business logic here
  console.log(`Task ${taskId}: ${status}`, result);
}

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => console.log(`Listening on :${PORT}`));

Step 2: Docker Deployment

# Dockerfile
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY dist/ ./dist/
EXPOSE 3000
ENV NODE_ENV=production
HEALTHCHECK --interval=30s --timeout=3s \
  CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]
# Build and run
docker build -t lindy-integration .
docker run -d \
  -p 3000:3000 \
  -e LINDY_API_KEY="$LINDY_API_KEY" \
  -e LINDY_WEBHOOK_SECRET="$LINDY_WEBHOOK_SECRET" \
  --name lindy-app \
  lindy-integration

Step 3: Vercel Deployment

# Install Vercel CLI
npm i -g vercel

# Set secrets
vercel secrets add lindy-api-key "$LINDY_API_KEY"
vercel secrets add lindy-webhook-secret "$LINDY_WEBHOOK_SECRET"

# Deploy
vercel --prod
// vercel.json
{
  "env": {
    "LINDY_API_KEY": "@lindy-api-key",
    "LINDY_WEBHOOK_SECRET": "@lindy-webhook-secret"
  }
}

Step 4: Update Lindy Agent Webhook URLs

After deployment, update all Lindy agents with production URLs:

  1. In Lindy dashboard, open each agent with a webhook trigger
  2. Navigate to the HTTP Request action (if agent calls your API)
  3. Update URL from dev/staging to production:
    OLD: https://abc123.ngrok.io/lindy/callback
    NEW: https://api.yourapp.com/lindy/callback
    
  4. For webhook triggers, callers need the Lindy-generated URL (unchanged)
  5. Test with a sample webhook to verify end-to-end

Step 5: Post-Deploy Verification

#!/bin/bash
echo "=== Post-Deploy Verification ==="

PROD_URL="https://api.yourapp.com"

# Health check
echo "[1/3] Health check..."
curl -sf "$PROD_URL/health" | jq .

# Webhook endpoint reachable
echo "[2/3] Webhook endpoint..."
STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
  -X POST "$PROD_URL/lindy/callback" \
  -H "Authorization: Bearer $LINDY_WEBHOOK_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"test": true}')
echo "Webhook endpoint: HTTP $STATUS (expect 200)"

# Trigger a test agent run
echo "[3/3] Agent trigger test..."
curl -s -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_ID" \
  -H "Authorization: Bearer $LINDY_WEBHOOK_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"event": "deploy.verify", "env": "production"}'
echo "Agent triggered — check Tasks tab in Lindy dashboard"

Step 6: Rollback Plan

# If deployment fails, rollback:
# Vercel
vercel rollback

# Docker
docker stop lindy-app
docker run -d --name lindy-app-rollback \
  -e LINDY_API_KEY="$LINDY_API_KEY" \
  -e LINDY_WEBHOOK_SECRET="$LINDY_WEBHOOK_SECRET" \
  lindy-integration:previous-tag

# Update Lindy agents back to previous URLs if needed

Deployment Checklist

StepVerification
Build passesnpm run build exits 0
Tests passnpm test all green
Secrets configuredAPI key + webhook secret in platform
Health check respondsGET /health returns 200
Webhook auth worksPOST with valid token returns 200
Webhook auth rejectsPOST without token returns 401
Lindy agent URLs updatedHTTP Request actions point to prod
End-to-end testTrigger agent, receive callback

Error Handling

IssueCauseSolution
Webhook 502App crashed/not runningCheck container logs, restart
Webhook timeoutSlow processingRespond 200 immediately, process async
Wrong URL in LindyNot updated post-deployUpdate HTTP Request action URLs
SSL errorCertificate issueVerify HTTPS cert is valid
Secret mismatchDev secret in prodVerify production secrets match Lindy config

Resources

Next Steps

See lindy-webhooks-events for advanced webhook patterns.

d2-diagram-creator

jeremylongshore

D2 Diagram Creator - Auto-activating skill for Visual Content. Triggers on: d2 diagram creator, d2 diagram creator Part of the Visual Content skill category.

6532

svg-icon-generator

jeremylongshore

Svg Icon Generator - Auto-activating skill for Visual Content. Triggers on: svg icon generator, svg icon generator Part of the Visual Content skill category.

9029

automating-mobile-app-testing

jeremylongshore

This skill enables automated testing of mobile applications on iOS and Android platforms using frameworks like Appium, Detox, XCUITest, and Espresso. It generates end-to-end tests, sets up page object models, and handles platform-specific elements. Use this skill when the user requests mobile app testing, test automation for iOS or Android, or needs assistance with setting up device farms and simulators. The skill is triggered by terms like "mobile testing", "appium", "detox", "xcuitest", "espresso", "android test", "ios test".

15922

performing-penetration-testing

jeremylongshore

This skill enables automated penetration testing of web applications. It uses the penetration-tester plugin to identify vulnerabilities, including OWASP Top 10 threats, and suggests exploitation techniques. Use this skill when the user requests a "penetration test", "pentest", "vulnerability assessment", or asks to "exploit" a web application. It provides comprehensive reporting on identified security flaws.

4915

designing-database-schemas

jeremylongshore

Design and visualize efficient database schemas, normalize data, map relationships, and generate ERD diagrams and SQL statements.

12014

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

5110

You might also like

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

1,4071,302

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

1,2201,024

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

9001,013

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

958658

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

970608

pdf-to-markdown

aliceisjustplaying

Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.

1,033496

Stay ahead of the MCP ecosystem

Get weekly updates on new skills and servers.