Skip to main content
Glama

MCP Server

by Teeksss
GitHub
Python
  • Linux
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

MCP Server (Multi-Model + RAG + LLM Platform)

Kurulum Rehberi

Gereksinimler

  • Python 3.9+
  • Node.js 16+ (frontend için)
  • Tesseract (OCR desteği için)
  • (Linux/Mac: sudo apt install tesseract-ocr veya brew install tesseract)
  • pip veya poetry (isteğe bağlı)

1. Backend Kurulumu

a) Sanal Ortam Oluştur

python -m venv venv source venv/bin/activate

b) Bağımlılıkları Yükle

pip install -r requirements.txt # veya poetry install

c) Ortam Değişkenleri

.env dosyasını oluştur:

cp .env.example .env

Gerekirse OPENAI_API_KEY ve diğer alanları doldur.

d) Veritabanını Başlat

python -c "from src.models.database import init_db; init_db()"

e) Sunucuyu Çalıştır

uvicorn src.main:app --reload

2. Frontend (Web) Kurulumu

cd web npm install npm start

3. Notlar

  • PDF/OCR için Tesseract kurulmalı.
  • LLM entegrasyonu için OPENAI_API_KEY veya HuggingFace modeli indirecek internet bağlantısı gereklidir.
  • Vektör veritabanı ve LLM eklemek için ilgili Python dosyalarından kolayca genişletebilirsiniz.

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.

  1. Kurulum Rehberi
    1. Gereksinimler
  2. 1. Backend Kurulumu
    1. a) Sanal Ortam Oluştur
    2. b) Bağımlılıkları Yükle
    3. c) Ortam Değişkenleri
    4. d) Veritabanını Başlat
    5. e) Sunucuyu Çalıştır
  3. 2. Frontend (Web) Kurulumu
    1. 3. Notlar

      Related MCP Servers

      • RagDocs MCP Server

        heltonteixeira
        -
        security
        A
        license
        -
        quality
        Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
        Last updated -
        14
        15
        TypeScript
        Apache 2.0

      • Agentsetofficial

        agentset-ai
        A
        security
        A
        license
        A
        quality
        An open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡
        Last updated -
        1
        10
        9
        JavaScript
        MIT License

      • RAG_MCP

        mytechnotalent
        -
        security
        -
        license
        -
        quality
        A Retrieval-Augmented Generation server that enables semantic PDF search with OCR capabilities, allowing users to query document content through any MCP client and receive intelligent answers.
        Last updated -
        1
        Python
        Apache 2.0

      • MCP-RAG Server

        sourangshupal
        -
        security
        F
        license
        -
        quality
        Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).
        Last updated -
        4
        Python
        • Linux
        • Apple

      View all related MCP servers

      Appeared in Searches

      New MCP Servers

      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/Teeksss/mcp'

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