Poop MCP Client is a Spring Boot application that acts as a client for the Model Control Plane (MCP). It offers RESTful APIs for AI inference, knowledge base management, and semantic search, leveraging Spring AI and Ollama for language model integration, supporting document handling, and environment-based configuration.
Added on:
Created by:
May 09 2025
Poop MCP Client is a Spring Boot application that acts as a client for the Model Control Plane (MCP). It offers RESTful APIs for AI inference, knowledge base management, and semantic search, leveraging Spring AI and Ollama for language model integration, supporting document handling, and environment-based configuration.
Added on:
Created by:
May 09 2025
Alien Poop
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What is Poop MCP Client?
Poop MCP Client is a Spring Boot-based platform enabling comprehensive AI and knowledge management. It provides synchronous and asynchronous chat interfaces, document upload and deletion, and semantic search capabilities via Neo4j as a vector store. It integrates with language models through Spring AI and Ollama, and supports environment-based configurations for deployment. Users can perform AI inference, manage knowledge bases, and execute semantic searches, making it suitable for developing intelligent applications that require dynamic AI interactions and efficient document retrieval.
Who will use Poop MCP Client?
- Developers building AI-powered applications
- Data scientists managing knowledge bases
- Organizations implementing semantic search solutions
- AI researchers testing language model integrations
How to use the Poop MCP Client?
- Step1: Clone the repository from GitHub
- Step2: Configure environment variables for Neo4j, Ollama, and MCP server
- Step3: Build the project using Maven (`mvn clean package`)
- Step4: Run the application (`java -jar target/poop-mcp-client-0.0.1-SNAPSHOT.jar`) or build the Docker image
- Step5: Use the REST API endpoints to interact with AI chat, upload/delete documents, or query the knowledge base
Poop MCP Client's Core Features & Benefits
The Core Features
- AI Chat Interface (sync and async)
- Knowledge Base Upload, Query, and Delete
- Semantic Search with Neo4j
- Document Processing and Splitting
- Environment-Based Configuration
The Benefits
- Supports advanced AI interactions with real-time and batch processing
- Facilitates organized knowledge management and retrieval
- Enables semantic search for deep content understanding
- Flexible setup for deployment environments
- Integrates seamlessly with language models via Spring AI and Ollama
Poop MCP Client's Main Use Cases & Applications
- Building AI chatbots for customer support
- Managing enterprise document repositories
- Implementing semantic search in knowledge-intensive domains
- Developing intelligent virtual assistants
FAQs of Poop MCP Client
Developer
- AlienMCP
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