CF-MCP-Client

0
0 Reviews
7 Stars
CF-MCP-Client is a Spring AI-powered chatbot designed for Cloud Foundry, enabling integration with LLMs, MCP servers, and memGPT for dynamic AI interactions and external tool capabilities.
Added on:
Created by:
May 12 2025
CF-MCP-Client

CF-MCP-Client

0 Reviews
7
0
CF-MCP-Client
CF-MCP-Client is a Spring AI-powered chatbot designed for Cloud Foundry, enabling integration with LLMs, MCP servers, and memGPT for dynamic AI interactions and external tool capabilities.
Added on:
Created by:
May 12 2025
Corby Page
Featured

What is CF-MCP-Client?

This MCP provides a comprehensive platform for deploying AI chatbots on Cloud Foundry with advanced features like connecting to various LLM services, MCP servers, and memGPT for extended memory. It supports binding to different AI models, vector databases, and external APIs, creating flexible and intelligent conversational agents. The application is built with Spring AI, allowing developers to easily extend and customize chatbot functionalities, making it suitable for enterprise AI integrations and intelligent automation tasks.

Who will use CF-MCP-Client?

  • Developers building AI chatbots on Cloud Foundry
  • Organizations integrating LLM and MCP services
  • AI researchers and engineers deploying conversational AI
  • Businesses requiring external tool access via AI
  • Cloud Foundry users managing AI and data connectivity

How to use the CF-MCP-Client?

  • Step1: Ensure prerequisites like Java 21+, Maven 3.8+, and Cloud Foundry access.
  • Step2: Build the application using 'mvn clean package'.
  • Step3: Push the application to Cloud Foundry with 'cf push'.
  • Step4: Create and bind service instances for LLMs, vector databases, MCP servers, and memGPT as needed.
  • Step5: Restart the application to activate bindings.
  • Step6: Upload documents if needed and test the chatbot with integrated AI services.

CF-MCP-Client's Core Features & Benefits

The Core Features
  • Connect to multiple LLM models
  • Bind to MCP servers for API capabilities
  • Integrate with vector databases
  • Use memGPT for extended memory
  • Deploy on Cloud Foundry
The Benefits
  • Flexible integration with AI services
  • Enhanced chatbot intelligence and memory
  • Simplified deployment and management on Cloud Foundry
  • Supports external API and data source interaction
  • Extensible architecture for custom AI workflows

CF-MCP-Client's Main Use Cases & Applications

  • Enterprise customer support chatbots
  • AI research and experimentation platform
  • Automated document query and analysis
  • AI-powered virtual assistant for cloud environments
  • External API integration for complex workflows

FAQs of CF-MCP-Client

Developer

  • cpage-pivotal

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Cloud Platforms

A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
Demo project showcasing MCP protocol integration with Azure OpenAI for seamless AI application interactions.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A dynamic MCP server facilitating interaction with Etherscan's API for blockchain data retrieval.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.

AI Chatbot

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides MCP servers in Python, Go, and Rust for seamless AI tool integration in VS Code.
Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.
Enables Claude Desktop to interact with Hacker News for fetching news, comments, and user data via MCP protocol.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.