MCP.so
登录

GemFireMCPServer MCP Server

@jomartin-999

基本信息

分类

其他

许可证

Apache-2.0 license

传输方式

stdio

作者

jomartin-999

关于 GemFireMCPServer MCP Server

暂无概览

#gemfire#mcp#server#vector-search#financial-documents

GemFireMCPServer MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

GemFireMCPServer MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is GemFireMCPServer?

GemFireMCPServer is a Spring Boot–based MCP server that integrates VMware GemFire with Spring AI to enable fast, vector-based semantic search over financial documents. It is designed for developers using MCP clients like Claude Desktop to build Retrieval-Augmented Generation (RAG) workflows.

How to use GemFireMCPServer?

Clone the repository, configure GemFire artifact access credentials from Broadcom, set application.properties with GemFire cluster details and ONNX model paths, build with Gradle, start a GemFire cluster with the VectorDB extension, then register the server as an MCP tool in Claude Desktop. Three tools become available: add_financial_doc, list_available_financial_docs, and search_financial_docs.

Key features of GemFireMCPServer

  • MCP-compliant endpoints for document ingestion, listing, and querying
  • Local ONNX-based embeddings via Spring AI
  • Vector and metadata storage in VMware GemFire
  • File metadata stored in a dedicated GemFire region
  • Fast, in-memory semantic search

Use cases of GemFireMCPServer

  • Upload financial documents and automatically chunk, embed, and store them in GemFire
  • Browse metadata of all stored documents from an MCP client
  • Ask natural‑language questions about documents and receive RAG‑generated answers

常见问题

1

What runtime does GemFireMCPServer require?

Java 17+, Gradle (or Maven), VMware GemFire 10.x+, and the GemFire VectorDB extension are required. An MCP client like Claude Desktop is used to interact with the server.

2

How are embeddings generated?

The server uses a local ONNX‑exported version of the `sentence-transformers/all-MiniLM-L6-v2` model. You must export the model with `optimum-cli` and place `model.onnx` and `tokenizer.json` on the classpath.

3

Where are documents and metadata stored?

All vector embeddings are stored in a GemFire vector index named `financialDocuments`. File metadata (name, size) is kept in a separate GemFire region defined by the `gemfire.region.docsMetadata` property.

4

How is the server invoked by the client?

The server uses the MCP STDIO transport, so it is launched as a subprocess by the MCP client (e.g., via `java -jar` in Claude Desktop’s configuration file). No HTTP server is involved.

5

What authentication is needed for GemFire dependencies?

Access to the GemFire artifact repository requires a Broadcom customer support username and a personal access token, which are configured in `gradle.properties` or Maven’s `settings.xml`.

评论

其他 分类下的更多 MCP 服务器