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Infactory Mcp
What is Infactory Mcp
Infactory MCP is a Model Context Protocol server designed for interacting with Infactory APIs using Claude and other language models. It allows language models to access and manipulate data within the Infactory environment.
Use cases
Use cases include managing projects and datasources, executing query programs for data retrieval and analysis, and integrating language models for enhanced data manipulation within the Infactory ecosystem.
How to use
To use Infactory MCP, you need an Infactory API key and Node.js 18+ for local installation. You can install it using NPX or Docker. For NPX, run ‘npx -y @infactory/infactory-mcp’. For Docker, use ‘docker run -i --rm -e NF_API_KEY=“your_api_key_here” @infactory/infactory-mcp’.
Key features
Key features include project management (listing, retrieving, and creating projects), querying programs (listing and executing query programs), managing datasources (listing, retrieving, and creating datasources), and user & team management (getting user information and listing teams).
Where to use
Infactory MCP can be used in various fields such as data analysis, project management, and application development where interaction with Infactory APIs is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Infactory Mcp
Infactory MCP is a Model Context Protocol server designed for interacting with Infactory APIs using Claude and other language models. It allows language models to access and manipulate data within the Infactory environment.
Use cases
Use cases include managing projects and datasources, executing query programs for data retrieval and analysis, and integrating language models for enhanced data manipulation within the Infactory ecosystem.
How to use
To use Infactory MCP, you need an Infactory API key and Node.js 18+ for local installation. You can install it using NPX or Docker. For NPX, run ‘npx -y @infactory/infactory-mcp’. For Docker, use ‘docker run -i --rm -e NF_API_KEY=“your_api_key_here” @infactory/infactory-mcp’.
Key features
Key features include project management (listing, retrieving, and creating projects), querying programs (listing and executing query programs), managing datasources (listing, retrieving, and creating datasources), and user & team management (getting user information and listing teams).
Where to use
Infactory MCP can be used in various fields such as data analysis, project management, and application development where interaction with Infactory APIs is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 keyNF_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
- Parameters:
-
create_project: Create a new project
- Parameters:
name(string): Project namedescription(string, optional): Project descriptionteam_id(string): Team ID
- Parameters:
Query Program Tools
-
list_query_programs: List query programs in a project
- Parameters:
project_id(string): ID of the project
- Parameters:
-
execute_query_program: Execute a query program
- Parameters:
queryprogram_id(string): ID of the query program to executeinput_data(object, optional): Input data for the query program
- Parameters:
Datasource Tools
-
list_datasources: List datasources in a project
- Parameters:
project_id(string): ID of the project
- Parameters:
-
get_datasource: Get details of a specific datasource
- Parameters:
datasource_id(string): ID of the datasource
- Parameters:
-
create_datasource: Create a new datasource
- Parameters:
name(string): Datasource nameproject_id(string): ID of the projecttype(string): Datasource type
- Parameters:
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
- Parameters:
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










