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Knowledge Base

An implementation of the MCP server based on txtai, providing semantic search, knowledge graph, and AI text processing functions.
Knowledge management and memorySearch tools#Semantic Search#Knowledge Graph#Text Processing#Local AI.Python
2.5 points
9.3K
Open Site

Overview

Installation

Content Details

Alternatives

What is the MCP Server?

The MCP server is a knowledge management tool built on txtai. It helps enterprises efficiently manage and utilize knowledge assets through semantic search, knowledge graph, and text processing functions.

How to Use the MCP Server?

You can start using it in just a few steps: install the MCP server, load the knowledge base, and execute queries or tasks.

Applicable Scenarios

It is suitable for fields such as enterprise internal knowledge base construction, academic research, and technical document management.

Main Functions

Semantic Search
Perform intelligent search based on semantics rather than keywords to quickly find relevant information.
Knowledge Graph
Automatically generate a knowledge graph to facilitate the exploration and association of different information nodes.
Text Processing Pipeline
Support advanced text processing tasks such as summary generation and entity extraction.
Causal Relationship Enhancement
Improve the relevance and accuracy of search results through causal relationships.
Advantages
Powerful semantic search ability
Support for local deployment to protect data privacy
Flexible knowledge base expansion and update
Limitations
Requires certain computing resources
May require technical support for complex configurations

How to Use

Install the MCP Server
Install the MCP server via pip or the uvx tool.
Load the Knowledge Base
Specify the knowledge base path and start the server.
Execute a Query
Initiate a query request using the command - line tool or API.

Usage Cases

Case 1: Enterprise Knowledge Base Query
Employees can quickly search for company policies and processes through the knowledge base.
Case 2: Academic Research Support
Researchers can use the knowledge graph function to discover associated information in papers.

Frequently Asked Questions

Does the MCP server support multiple languages?
How to update an existing knowledge base?

Related Resources

Official Documentation
Detailed installation and usage guide.
GitHub Repository
Source code and example projects.
Video Tutorials
Systematic introductory videos.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "kb-server": {
      "command": "/your/home/project/.venv/bin/kb-mcp-server",
      "args": [
        "--embeddings", 
        "/path/to/knowledge_base.tar.gz"
      ],
      "cwd": "/path/to/working/directory"
    }
  }
}

{
  "mcpServers": {
    "kb-server": {
      "command": "uvx",
      "args": [
        "kb-mcp-server@0.2.6",
        "--embeddings", "/path/to/knowledge_base",
        "--host", "localhost",
        "--port", "8000"
      ],
      "cwd": "/path/to/working/directory"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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