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MCP server · AI

LLM MCP RAG

by · github.com/KelvinQiu802/llm-mcp-rag

LLM + MCP + RAG = Magic

Unclaimed last commit a year ago ai
InstallView source
59Fair

Scored 11 days ago · breakdown

About LLM MCP RAG

LLM MCP RAG is an MCP server published by KelvinQiu802 in the AI category: lLM + MCP + RAG = Magic.

The repository has 581 stars and 97 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/KelvinQiu802/llm-mcp-rag

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

LLM + MCP + RAG

目标

  • Augmented LLM (Chat + MCP + RAG)
  • 不依赖框架
    • LangChain, LlamaIndex, CrewAI, AutoGen
  • MCP
    • 支持配置多个MCP Serves
  • RAG 极度简化板
    • 从知识中检索出有关信息，注入到上下文
  • 任务
    • 阅读网页 → 整理一份总结 → 保存到文件
    • 本地文档 → 查询相关资料 → 注入上下文

The augmented LLM

image.png

classDiagram
    class Agent {
        +init()
        +close()
        +invoke(prompt: string)
        -mcpClients: MCPClient[]
        -llm: ChatOpenAI
        -model: string
        -systemPrompt: string
        -context: string
    }
    class ChatOpenAI {
        +chat(prompt?: string)
        +appendToolResult(toolCallId: string, toolOutput: string)
        -llm: OpenAI
        -model: string
        -messages: OpenAI.Chat.ChatCompletionMessageParam[]
        -tools: Tool[]
    }
    class EmbeddingRetriever {
        +embedDocument(document: string)
        +embedQuery(query: string)
        +retrieve(query: string, topK: number)
        -embeddingModel: string
        -vectorStore: VectorStore
    }
    class MCPClient {
        +init()
        +close()
        +getTools()
        +callTool(name: string, params: Record<string, any>)
        -mcp: Client
        -command: string
        -args: string[]
        -transport: StdioClientTransport
        -tools: Tool[]
    }
    class VectorStore {
        +addEmbedding(embedding: number[], document: string)
        +search(queryEmbedding: number[], topK: number)
        -vectorStore: VectorStoreItem[]
    }
    class VectorStoreItem {
        -embedding: number[]
        -document: string
    }

    Agent --> MCPClient : uses
    Agent --> ChatOpenAI : interacts with
    ChatOpenAI --> ToolCall : manages
    EmbeddingRetriever --> VectorStore : uses
    VectorStore --> VectorStoreItem : contains

依赖

git clone git@github.com:KelvinQiu802/ts-node-esm-template.git
pnpm install
pnpm add dotenv openai @modelcontextprotocol/sdk chalk**

LLM

MCP

RAG

向量

  • 维度
  • 模长
  • 点乘 Dot Product
    • 对应位置元素的积，求和
  • 余弦相似度 cos
    • 1 → 方向完全一致
    • 0 → 垂直
    • -1 → 完全想法

image.png

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README fetched from the repository 5 days ago. The original is authoritative.

Questions

About LLM MCP RAG

How do I install LLM MCP RAG?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is LLM MCP RAG safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LLM MCP RAG still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.