Skip to main contentReal-World Use Cases
Discover how teams are using Tydli to connect AI agents with their APIs and workflows.
Customer Support AI
Connect Claude to your CRM, ticketing system, and knowledge base.
The Scenario
Your support team handles hundreds of tickets daily. You want AI to help agents find customer information, create tickets, and suggest solutions faster.
How It Works
Deploy your CRM API, ticketing system API, and knowledge base API as MCP servers with Tydli. Connect them all to Claude Desktop.
Example Interaction
Agent: “Can you look up customer [email protected] and show me their recent tickets?”
Claude: Uses your MCP servers to:
- Search CRM for customer [email protected]
- Retrieve customer ID and account details
- Query ticketing system for recent tickets
- Format and present the information
Claude can search customer records, create support tickets, and suggest solutions from your documentation - all through natural conversation.
APIs You Might Use
- Zendesk, Intercom, or custom ticketing system
- Salesforce, HubSpot, or custom CRM
- Confluence, Notion, or custom knowledge base
Development Workflow
Integrate GitHub, Jira, and CI/CD pipelines with AI agents.
The Scenario
Developers spend significant time context-switching between GitHub, Jira, and CI/CD dashboards. You want AI to help manage the entire workflow from a single interface.
How It Works
Deploy GitHub API, Jira API, and your CI/CD platform API as MCP servers. Connect to Claude Desktop or Continue.dev in VS Code.
Example Interaction
Developer: “Create a new branch, list open PRs, and check build status”
Claude: Uses your MCP servers to:
- Create a new Git branch via GitHub API
- List all open pull requests
- Check CI/CD pipeline status
- Report back with comprehensive status
It handles all three APIs seamlessly with context awareness.
APIs You Might Use
- GitHub, GitLab, or Bitbucket
- Jira, Linear, or Asana
- CircleCI, Jenkins, or GitHub Actions
Business Intelligence
Let AI query your analytics, databases, and reporting tools.
The Scenario
Your team needs to pull reports from multiple data sources. Creating custom SQL queries or navigating complex BI tools takes too much time.
How It Works
Deploy your analytics platform API, database API, and reporting tool API as MCP servers. Give ChatGPT or Claude access.
Example Interaction
Analyst: “What were our top 5 products by revenue last quarter? Compare to previous quarter.”
ChatGPT: Uses your MCP servers to:
- Query sales database for Q3 2024 revenue
- Query sales database for Q2 2024 revenue
- Calculate product rankings and comparisons
- Format results with insights
ChatGPT can pull sales data, compare metrics across periods, and generate insights without writing SQL.
APIs You Might Use
- Snowflake, BigQuery, or PostgreSQL
- Tableau, Looker, or Power BI
- Google Analytics, Mixpanel, or Amplitude
E-commerce Assistant
Connect Shopify, inventory systems, and payment processors.
The Scenario
You run an e-commerce business and want to provide customers with an AI-powered shopping assistant that can check inventory, process orders, and handle returns.
How It Works
Deploy your e-commerce platform API, inventory management API, and payment processor API as MCP servers. Build a custom AI assistant powered by Claude or ChatGPT.
Example Interaction
Customer: “Do you have the blue widget in size large? If so, I’d like to order 2.”
AI Assistant: Uses your MCP servers to:
- Check inventory for “blue widget size large”
- Verify stock availability (2+ in stock)
- Create order in e-commerce system
- Process payment via payment API
- Send confirmation with tracking info
An AI-powered shopping assistant that checks inventory, processes orders, and handles returns through your APIs - completely automated.
APIs You Might Use
- Shopify, WooCommerce, or custom e-commerce
- ShipStation, EasyPost, or custom fulfillment
- Stripe, PayPal, or Square
Additional Use Cases
Marketing Automation
Connect your marketing stack (email, CRM, analytics) to create campaigns, segment audiences, and analyze performance through AI.
Financial Operations
Integrate accounting software, payment processors, and banking APIs for automated reconciliation and reporting.
HR & People Operations
Connect HRIS, payroll, and benefits systems to answer employee questions and automate onboarding.
Content Management
Link CMS, DAM, and publishing tools to manage content creation, editing, and distribution workflows.
DevOps & Monitoring
Integrate monitoring tools, cloud platforms, and incident management for AI-assisted operations.
Building Your Own Use Case
1. Identify Your APIs
What systems do you use regularly that have APIs?
- SaaS platforms (Salesforce, Slack, etc.)
- Internal services (databases, microservices)
- Third-party integrations (payment processors, shipping)
2. Check for OpenAPI Specs
Most modern APIs provide OpenAPI/Swagger specifications:
- Check API documentation for “OpenAPI”, “Swagger”, or “API Spec”
- Look for
.json or .yaml spec files
- Use tools to generate specs from API docs if needed
3. Deploy with Tydli
- Create a new deployment in Tydli
- Upload your OpenAPI spec
- Configure authentication
- Get your MCP server URL
4. Connect to Your AI
- Claude Desktop: Add to
claude_desktop_config.json
- ChatGPT: Use custom GPT with MCP support
- Custom app: Use MCP client libraries
5. Test and Iterate
- Start with simple queries
- Expand to complex workflows
- Monitor usage and performance
- Refine your OpenAPI spec for better AI understanding
Need Inspiration?
Check out our community showcase:
- Browse the Tydli Explore page for public MCP servers
- Join our Discord to see what others are building
- Share your use case and get feedback from the community
Next Steps
