Metis MCP Tools

@dagron78

代码仓库

基本信息

分类

版本控制

传输方式

stdio

作者

dagron78

关于 Metis MCP Tools

A demo repository for testing the GitHub MCP server

#metis#mcp #tools #database-management#vector-store#document-processing#llm-interaction

Metis MCP Tools 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

Metis MCP Tools 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 Metis MCP Tools?

Metis MCP Tools is a collection of Model Context Protocol (MCP) servers designed to extend the Metis RAG application. It provides functionality for database management, vector store operations, document processing, and LLM interactions, enabling language models to access and act on external data.

How to use Metis MCP Tools?

Clone the repository, install dependencies with npm install, start the desired server(s) using node tools/<server>.js, and connect from your application via an MCP client. Each tool is a separate server: database-tool, vector-store-tool, document-processing-tool, llm-interaction-tool.

Key features of Metis MCP Tools

PostgreSQL database management (init, query, schema, list tables)
Vector store operations with Chroma (collection CRUD, query)
Document loading from PDF, DOCX, TXT, MD
Document chunking and code block extraction
LLM integration with OpenAI and Anthropic (text generation, embeddings, prompt templates)

Use cases of Metis MCP Tools

Enable an LLM to query a PostgreSQL database within a RAG pipeline
Perform semantic search on document collections via vector store queries
Automatically load, chunk, and process uploaded documents for indexing
Generate structured summaries or embeddings from raw text using LLMs

常见问题

How do I set up the database tool?

Initialize a connection by calling `init_database_connection` with host, port, database, user, and password.

What vector store does the vector-store-tool use?

It uses Chroma. You can initialize the store, create or get collections, add documents, and query for similar documents.

Which file formats are supported by the document processing tool?

PDF, DOCX, TXT, and MD files are supported for loading and chunking.

What LLM providers are available?

OpenAI and Anthropic are supported. You can initialize models, generate text, use prompt templates, and generate embeddings.

Are the servers started individually?

Yes, each tool runs as its own MCP server. Start them separately with `node tools/<server>.js`.

版本控制分类下的更多 MCP 服务器

MCP Git Ingest

adhikasp

A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.

316

MCP Atlassian

sooperset

MCP server for Atlassian tools (Confluence, Jira)

5.5K

Atlassian Jira MCP Server

aashari

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.

mcp-github-trending MCP Server

hetaoBackend

MCP server for getting github trending repos & developers

Atlassian Bitbucket MCP Server