Cover image
Try Now
2025-04-05

Serveur MCP en infraction

3 years

Works with Finder

2

Github Watches

0

Github Forks

1

Github Stars

Infactory MCP Server

An MCP (Model Context Protocol) server for interacting with Infactory APIs using Claude and other LLMs. This server enables language models to access and manipulate data in your Infactory environment.

Features

  • Project Management: List, retrieve, and create projects
  • Query Programs: List and execute query programs
  • Datasources: List, retrieve, and create datasources
  • User & Team Management: Get current user information and list teams

Getting Started

Prerequisites

  • An Infactory API key
  • Node.js 18+ (for local installation)

Installation

Using NPX (Recommended)

npx -y @infactory/infactory-mcp

Using Docker

docker run -i --rm \
  -e NF_API_KEY="your_api_key_here" \
  @infactory/infactory-mcp

Environment Variables

  • NF_API_KEY (required): Your Infactory API key
  • NF_BASE_URL (optional): Custom API endpoint if using a different environment

Available Tools

Project Tools

  • list_projects: List all available projects

    • No parameters required
  • get_project: Get details of a specific project

    • Parameters:
      • project_id (string): ID of the project to retrieve
  • create_project: Create a new project

    • Parameters:
      • name (string): Project name
      • description (string, optional): Project description
      • team_id (string): Team ID

Query Program Tools

  • list_query_programs: List query programs in a project

    • Parameters:
      • project_id (string): ID of the project
  • execute_query_program: Execute a query program

    • Parameters:
      • queryprogram_id (string): ID of the query program to execute
      • input_data (object, optional): Input data for the query program

Datasource Tools

  • list_datasources: List datasources in a project

    • Parameters:
      • project_id (string): ID of the project
  • get_datasource: Get details of a specific datasource

    • Parameters:
      • datasource_id (string): ID of the datasource
  • create_datasource: Create a new datasource

    • Parameters:
      • name (string): Datasource name
      • project_id (string): ID of the project
      • type (string): Datasource type

User and Team Tools

  • get_current_user: Get information about the current user

    • No parameters required
  • list_teams: List teams in an organization

    • Parameters:
      • organization_id (string): ID of the organization

Usage with Claude Desktop + Windsurf + Cursor

Here is the likely location of your MCP configuration file:

  • Claude Desktop - Add this to your claude_desktop_config.json:
  • Windsurf - Add this to your ~/.codeium/windsurf/mcp_config.json:
  • Cursor - Add this to your ~/.cursor/mcp.json:

Add this to your MCP configuration:

{
  "version": "0.1",
  "mcpServers": {
    "infactory-mcp": {
      "command": "npx",
      "args": ["-y", "@infactory/infactory-mcp"],
      "env": {
        "NF_API_KEY": "nf-************************"
      }
    }
  }
}

Or if you are doing development:

{
  "version": "0.1",
  "mcpServers": {
    "infactory-mcp": {
      "command": "node",
      "args": ["FULL_PATH_TO/infactory-mcp/dist/index.js"],
      "env": {
        "NF_API_KEY": "nf-************************"
      }
    }
  }
}

Example Prompts

Once your MCP server is configured, you can use prompts like these with Claude:

  • "Show me a list of all my Infactory projects"
  • "Get the details for project proj-123abc"
  • "Create a new project called 'Data Analysis' in team team-456xyz"
  • "List all query programs in project proj-123abc"
  • "Execute query program qp-789def"
  • "Tell me about myself (my user account)"

Building from Source

# Clone the repository
git clone https://github.com/yourusername/mcp-server-infactory.git
cd mcp-server-infactory

# Install dependencies
npm install

# Build
npm run build

# Start the server
npm start

# Optional - start inspector (for debugging)
npx @modelcontextprotocol/inspector -e "NF_API_KEY=$NF_API_KEY" node -- dist/index.js

License

MIT License

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • tomoyoshi hirata
  • Sony α7IIIマニュアルアシスタント

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • jae-jae
  • MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.

  • HiveNexus
  • Un bot de chat IA pour les petites et moyennes équipes, soutenant des modèles tels que Deepseek, Open AI, Claude et Gemini. 专为中小团队设计的 Ai 聊天应用 , 支持 Deepseek 、 Open Ai 、 Claude 、 Gemini 等模型。

  • ravitemer
  • Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)

  • patruff
  • Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle

  • Sysc4lls
  • Lecteur de documentation IDA (Sort-of) MCP Server

    Reviews

    4 (1)
    Avatar
    user_MFIyTxuU
    2025-04-16

    I've been using infactory-mcp for a while now, and it's been a game-changer for managing my projects. The intuitive interface and robust features provided by infactory-io make it easy to streamline workflows and boost productivity. Highly recommended for anyone looking to improve their project management processes! Check it out on GitHub: https://github.com/infactory-io/infactory-mcp.