Overview
What is GemFireMCPServer?
GemFireMCPServer is a Spring Boot-based Model Context Protocol (MCP) server that utilizes VMware GemFire and Spring AI to enable fast, vector-based search over financial documents.
How to use GemFireMCPServer?
To use GemFireMCPServer, set up the server with the required dependencies, upload financial documents, and interact with the server through an MCP client like Claude Desktop to perform semantic searches.
Key features of GemFireMCPServer?
- MCP-compliant endpoints for document ingestion, listing, and querying.
- Local, ONNX-based embeddings with Spring AI.
- Vector and metadata storage in VMware GemFire.
- Fast, in-memory semantic search capabilities.
Use cases of GemFireMCPServer?
- Uploading and managing financial documents for analysis.
- Performing semantic searches to extract insights from financial data.
- Integrating with AI tools for enhanced document querying and retrieval.
FAQ from GemFireMCPServer?
- What technologies are required to run GemFireMCPServer?
You need Java 17+, Gradle or Maven, and VMware GemFire 10.x+.
- Can I use any MCP client with GemFireMCPServer?
Yes, any MCP-compliant client like Claude Desktop can be used.
- Is there a specific setup for embedding models?
Yes, the server requires an ONNX-exported embedding model for generating vector representations of documents.
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