I

Inkeep MCP Server Python

The Inkeep MCP server project is developed based on Python and manages and retrieves product document content through the RAG technology provided by the Inkeep platform.
2 points
7

What is the Inkeep MCP Server?

The Inkeep MCP Server is an intelligent Q&A service based on the Model Context Protocol. It can provide users with accurate answers and solutions by analyzing your product documents and content.

How to use the Inkeep MCP Server?

You need to register an Inkeep account first, obtain an API key, and then configure the connection through an MCP client (such as Claude Desktop) to use it.

Applicable scenarios

It is suitable for scenarios where you need to quickly obtain product document information, such as technical support and product usage guidance.

Main features

Intelligent Q&AProvide natural language Q&A services based on your product documents
Document retrievalQuickly retrieve relevant information from product documents
Seamless integrationIntegrate with various AI clients through the MCP protocol

Advantages and limitations

Advantages
Provide accurate answers based on the latest document content
Easy to integrate into existing workflows
Support natural language queries
Limitations
Need to upload and organize documents in advance
The quality of answers depends on the quality of documents
Require an API key for access

How to use

Obtain an API key
Log in to the Inkeep Dashboard, create an API integration in the project settings, and obtain the key
Install dependencies
Use the uv tool to install Python dependencies
Configure the MCP client
Add the Inkeep MCP server settings to the Claude Desktop configuration file

Usage examples

Product document queryWhen users need to understand specific product features
TroubleshootingWhen users encounter problems using the product

Frequently Asked Questions

How to obtain an Inkeep API key?
What should I do if the server fails to start?
How to update the document content?

Related resources

Inkeep official website
Inkeep product homepage
MCP protocol documentation
Official documentation for the Model Context Protocol
uv tool GitHub
Python project management tool
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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