mcp-server-chart vs codebase-mcp

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	codebase-mcp by danyQe
Stars	★ 4,068	★ 43
30d uses	10,239	—
Score	84	42
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsProductivity
Language	TypeScript	Python
Last commit	this month	7 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

codebase-mcp · Summary

Privacy-first AI coding assistant that turns Claude into a powerful MCP-based development tool with semantic search, memory, and quality-checked code generation.

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

codebase-mcp · Use cases

Creating new features with auto-formatting and quality-scoped code generation
Refactoring existing code with AI assistance and dependency injection patterns
Continuing development with persistent memory that recalls previous progress and mistakes

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

codebase-mcp · Install

Prerequisites

Python 3.11+
Claude Desktop (or any MCP-compatible client)
Git installed
[uv](https://github.com/astral-sh/uv) package manager (recommended)

Installation

**Clone the repository:**

git clone https://github.com/danyQe/codebase-mcp.git
cd codebase-mcp

**Install globally:**

# Install uv if you haven't
pip install uv

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txt

# Install formatters globally
pip install black ruff

**Configure Gemini API:**

cp .env.example .env
# Get free API key from: https://aistudio.google.com/app/apikey
# Add to .env:
GEMINI_API_KEY=your_api_key_here

**Configure Claude Desktop:**

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "codebase-manager": {
      "command": "/path/to/your/.venv/bin/python",
      "args": [
        "/path/to/codebase-mcp/mcp_server.py"
      ]
    }
  }
}

**Start the FastAPI server:**

python main.py /path/to/your/project

Use with Claude Desktop by restarting it and starting to chat - Claude now has access to 13+ MCP tools!

Comparison generated from public README + GitHub signals. Last updated automatically.