Skip to main content
Glama
deenesjakoruzh
Bisma474

RAG Config Generator MCP

by Bisma474
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

RAG Config Generator MCP

自然言語の説明に基づいてRAG（Retrieval-Augmented Generation）パイプライン構成を生成するMCP（Model Context Protocol）サーバーです。

ライブデモ

Related MCP server: Chalee MCP RAG

機能

  • 完全な構成を生成: RAGのユースケースを自然言語で記述する

  • チャンキング戦略: ドキュメントタイプに基づくチャンキング推奨を取得

  • 埋め込み: ユースケースと予算に基づく埋め込みモデル推奨を取得

  • ベクターストア: データサイズとレイテンシに基づくベクターストア推奨を取得

APIエンドポイント

エンドポイント

説明

GET /

サーバー情報

GET /generate-rag-config?description=...

完全なRAG構成を生成

GET /suggest-chunking?doc_type=...&doc_size=...

チャンキング推奨

GET /suggest-embeddings?use_case=...&budget=...

埋め込み推奨

GET /suggest-vector-store?data_size=...&latency=...

ベクターストア推奨

インストール

pip install -r requirements.txt

使用方法

Gradio UIを実行

python app.py

http://localhost:7860 で開きます

MCPサーバーを実行

python server.py

MCPサーバーは http://localhost:8000/mcp で利用可能です

プロジェクト構造

mcp/
├── server.py           # FastAPI + MCP server
├── rag_configs.py      # RAG config templates and logic
├── app.py              # Gradio UI
├── api/
│   └── index.py        # Vercel serverless function
├── requirements.txt    # Python dependencies
├── vercel.json         # Vercel configuration
└── README.md           # Documentation

技術スタック

  • バックエンド: Python、FastAPI、FastAPI-MCP

  • フロントエンド: Gradio、HTML/CSS/JS

  • デプロイ: Vercel（API）、Hugging Face Spaces（UI）

ライセンス

MIT

This server cannot be installed

F
license - not found
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • IndexFoundry MCP

    Mnehmos
    F
    license
    -
    quality
    B
    maintenance
    Creates deterministic, auditable vector databases from any content source with deployable RAG applications. Supports multiple embedding providers and vector databases with fine-grained pipeline control or project-based workflows.
    11
    5

  • Chalee MCP RAG

    PrettyKing
    F
    license
    -
    quality
    D
    maintenance
    Enables RAG (Retrieval-Augmented Generation) capabilities with document processing, vector storage, and intelligent Q\&A using OpenAI embeddings and semantic search.

  • CanvasXpress MCP Server

    neuhausi
    F
    license
    -
    quality
    B
    maintenance
    Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provided data headers and column types.
    1

View all related MCP servers

Related MCP Connectors

  • MyAITwin

    A personal RAG database you build from chat, so AI creates work that sounds like you.

  • No-Shell Agent Architect MCP

    Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.

  • InsideOut (Riley)

    Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Bisma474/rag-config-generator-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server