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davidvc/code-knowledge-mcptool

MCP tool that lets Cline inquire about a code base

Before you install: no copy-paste command · no license recorded · link reachable

First step: git clone https://github.com/yourusername/code-knowledge-tool.git

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Install command from the repository
pip install code-knowledge-tool

Parsed from the README we fetched on 2026-11-06; we have not executed it.

This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score
score 1,003 · 10 sources · mcp
Install
pip install code-knowledge-tool
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: pip install code-knowledge-tool. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# Code Knowledge Tool

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A knowledge management tool for code repositories using vector embeddings. This tool helps maintain and query knowledge about your codebase using advanced embedding techniques.
## Building and Installing
### 1. Build the Package
First, you need to build the distribution files:
bash
# Clone the repository
git clone https://github.com/yourusername/code-knowledge-tool.git
cd code-knowledge-tool
# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate
# Install build tools
python -m pip install --upgrade pip build
# Build the package
python -m build
This will create two files in the dist/ directory:
codeknowledgetool-0.1.0-py3-none-any.whl (wheel file for installation)
codeknowledgetool-0.1.0.tar.gz (source distribution)
### 2. Install the Package
#### Prerequisites
1. Ensure Ollama is installed and running:
bash
# Install Ollama (if not already installed)
curl https://ollama.ai/install.sh | sh
# Start Ollama service
ollama serve
2. Install the package:
##### Option 1: Install from wheel file (recommended for usage)
bash
# Navigate to where you built the package
cd /path/to/codeknowledgetool
# Install from the wheel file
pip install dist/codeknowledgetool-0.1.0-py3-none-any.whl
##### Option 2: Install in editable mode (recommended for development)
This option is best if you want to modify the tool or contribute to its development:
bash
# Assuming you're already in the code-knowledge-tool directory
# and have activated your virtual environment
# Install in editable mode with development dependencies
pip install -e ".[dev]"
## Integration with RooCode/Cline
1. Copy the MCP configuration to your settings:
For Cline (VSCode):
bash
# Open the settings file
open ~/Library/Application\ Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/clinemcpsettings.json
Add this configuration:
json
"mcpServers": {
"codeknowledge": {
"command": "python",
"args": ["-m", "codeknowledgetool.mcptool"],
"env": {
"PYTHONPATH": "${workspaceFolder}"
For RooCode:
bash
# Open the settings file
open ~/Library/Application\ Support/RooCode/roocodeconfig.json
Add the same configuration as above.
2. Restart RooCode/Cline to load the new tool.
## Using as Memory Bank and RAG Context Provider
This tool can serve as your project's memory bank and RAG context provider. To set this up:
1. Copy the provided template to your project:
bash
cp clinerulestemplate.md /path/to/your/project/.clinerules
2. Customize the rules and patterns in .clinerules for your project's needs
The template includes comprehensive instructions for:
Knowledge base management
RAG-based development workflows
Code quality guidelines
Memory management practices
See clinerulestemplate.md for the full configuration and usage details.
## Features
Local vector storage for code knowledge
Efficient embedding generation using Ollama
Support for multiple file types
Context-aware code understanding
Integration with RooCode and Cline via MCP
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/davidvc-code-knowledge-mcptool/)
Source
awesome · https://github.com/davidvc/code-knowledge-mcptool
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