Infactory MCP
The Infactory MCP Server is a server for interacting with the Infactory API through language models such as Claude, providing functions for project management, query program operations, data source management, and user - team management.
rating : 2.5 points
downloads : 13
What is the Infactory MCP Server?
The Infactory MCP Server is a middleware service that allows you to interact with the Infactory platform using natural language. It serves as a bridge between language models (such as Claude) and the Infactory API, converting your natural language instructions into API calls.How to use the Infactory MCP Server?
You can start the service by using a simple installation command, and then configure the connection in supported clients (such as Claude Desktop, Windsurf, or Cursor). After the configuration is complete, you can directly query and manage projects, data, and resources in Infactory using natural language.Use cases
It is suitable for scenarios that require quick querying of Infactory data, project management, or automated workflows. It is particularly suitable for non - technical users to access complex data using natural language and for developers to build AI - assisted data analysis applications.Main features
Project managementList, view, and create projects in Infactory, including setting the project name, description, and affiliated team
Query programsAccess and execute query programs in projects, supporting parameterized queries
Data source managementView and create data sources in projects, supporting multiple data source types
Users and teamsGet information about the current user and the list of teams within the organization
Advantages and limitations
Advantages
Access Infactory data without writing code
Simplify complex operations through natural language
Support integration with multiple clients
Quick deployment and start using within minutes
Limitations
An effective Infactory API key is required
Some advanced functions still need to be called directly through the API
Depends on the support level of the client for the MCP protocol
How to use
Get an API key
Get your API key (NF_API_KEY) from the Infactory platform
Install the service
Choose one of the following methods to install the MCP server
Client configuration
Add the MCP server configuration to the client you are using (such as Claude Desktop)
Start using
Interact with Infactory using natural language in the client
Usage examples
View the project listQuickly understand all Infactory projects you have access to
Create a new projectCreate a new project through natural language instructions
Perform data analysisRun a predefined query program to obtain analysis results
Frequently Asked Questions
How to get an Infactory API key?
What if the service fails to start?
Which clients are supported?
How to extend the functionality?
Related resources
Infactory official documentation
Complete API documentation and usage guide for the Infactory platform
MCP protocol specification
Official specification document for the Model Context Protocol
GitHub repository
Project source code and issue tracking
Example configuration
Configuration example files for various clients
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points