Tinder API MCP Server
A Model Context Protocol server that provides a standardized interface for interacting with the Tinder API, handling authentication, request processing, rate limiting, caching, and error handling.
README
Tinder API MCP Server
A Model Context Protocol (MCP) server for the Tinder API, implemented in TypeScript.
Overview
This MCP server provides a standardized interface for interacting with the Tinder API. It handles authentication, request processing, rate limiting, caching, and error handling, making it easier to build applications that integrate with Tinder.
Features
- Authentication Management: Support for SMS and Facebook authentication methods
- Request Handling: Validation, transformation, and forwarding of API requests
- Response Processing: Parsing, validation, and transformation of API responses
- Rate Limiting: Protection against API rate limits
- Caching: Efficient caching of API responses
- Error Handling: Standardized error responses
- Security: Secure token storage and HTTPS communication
Architecture
The server follows a modular architecture with the following components:
- API Gateway: Entry point for MCP tools and resources
- Authentication Service: Handles user authentication flows
- Request Handler: Processes and forwards API requests
- Rate Limiter: Manages API rate limits
- Cache Manager: Caches API responses
- Error Handler: Standardizes error responses
Installation
-
Clone the repository:
git clone https://github.com/yourusername/tinder-api-mcp-server.git cd tinder-api-mcp-server -
Install dependencies:
npm install -
Create a
.envfile based on.env.example:cp .env.example .env -
Edit the
.envfile with your configuration settings.
Development
-
Start the development server:
npm run dev -
Build the project:
npm run build -
Run the production server:
npm start -
Run tests:
npm test
API Endpoints
Authentication
POST /mcp/auth/sms/send: Send SMS verification codePOST /mcp/auth/sms/validate: Validate SMS verification codePOST /mcp/auth/facebook: Authenticate with FacebookPOST /mcp/auth/captcha: Verify CAPTCHAPOST /mcp/auth/refresh: Refresh authentication token
User
GET /mcp/user/:userId: Get user profileGET /mcp/user/recommendations: Get user recommendationsPUT /mcp/user/profile: Update user profileGET /mcp/user/matches: Get user matches
Interaction
POST /mcp/interaction/like/:targetUserId: Like a userPOST /mcp/interaction/superlike/:targetUserId: Super like a userPOST /mcp/interaction/pass/:targetUserId: Pass on a userPOST /mcp/interaction/boost: Boost profilePOST /mcp/interaction/message/:matchId: Send messageGET /mcp/interaction/messages/:matchId: Get messages for a match
MCP Tools and Resources
POST /mcp/tools: Execute MCP toolGET /mcp/resources/:resourceId: Access MCP resourceGET /mcp/info: Get server information
MCP Tools
The server provides the following MCP tools:
authenticate_sms: Authenticate user with SMSauthenticate_facebook: Authenticate user with Facebookverify_captcha: Verify CAPTCHA responselike_user: Like a user profilesuper_like_user: Super like a user profilepass_user: Pass on a user profileboost_profile: Boost user profile visibilityget_user_profile: Get user profile informationget_recommendations: Get potential matchesclear_cache: Clear cacheget_rate_limits: Get rate limit information
MCP Resources
The server provides the following MCP resources:
api-docs: API documentationserver-status: Server status information
Security Considerations
- Never hardcode secrets or API keys
- Use environment variables for sensitive information
- Implement proper authentication for all endpoints
- Use HTTPS for all communications
- Sanitize input and output data
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.