MCP Toolkit Pro
# MCP Toolkit Pro
**Premium MCP Server for AI Agents** — GitHub integration, code analysis, and project management.
## What is this?
MCP Toolkit Pro is a Model Context Protocol (MCP) server that gives AI agents powerful tools to interact with GitHub, analyze code, and manage projects. It's the fastest way to add GitHub capabilities to any AI agent.
## Features
### GitHub Integration
- **Search Repositories** — Find repos by keyword, language, or topic
- **Read Files** — Access any file in any public GitHub repository
- **List Issues** — Browse issues with filtering by state and labels
- **List Pull Requests** — View PRs with author and status info
- **Read READMEs** — Get repository documentation instantly
### Code Analysis
- **Code Quality Analysis** — Detect issues, complexity, and best practices
- **Language Detection** — Auto-detect programming languages
- **Issue Detection** — Find TODOs, FIXMEs, console.logs, and more
### Project Management
- **Task List Generator** — Create structured task lists from descriptions
- **Priority Sorting** — Organize tasks by priority and status
## Quick Start
```bash
# Install
npm install mcp-toolkit-pro
# Or clone and build
git clone https://github.com/yourusername/mcp-toolkit-pro.git
cd mcp-toolkit-pro
npm install
npm run build
```
## Configuration
Add to your MCP client config:
```json
{
"mcpServers": {
"mcp-toolkit-pro": {
"command": "node",
"args": ["path/to/mcp-toolkit-pro/dist/index.js"]
}
}
}
```
## Pro Features (Coming Soon)
- **GitHub Write Operations** — Create issues, PRs, and manage workflows
- **Batch Operations** — Process multiple items at once
- **Custom Templates** — Create and save custom tool configurations
- **Priority Support** — Direct line to the developer
## License
MITTDQS
Scored across 7 tools
Most tools have clearly distinct purposes: code analysis, task list creation, and the various GitHub read/search operations. The only potential confusion is between github_read_file and github_readme, since readme is a special case of file reading, but the descriptions make the distinction clear enough.
GitHub tools consistently use a 'github_' prefix followed by a verb_noun pattern (e.g., github_search_repos, github_list_issues), but the two non-GitHub tools (analyze_code, create_task_list) lack any prefix. This mixed convention — some tools namespaced, others not — reduces naming consistency.
With 7 tools, the set falls comfortably within the ideal 3-15 range. The count feels reasonable for a server that covers both general utility functions and GitHub-specific operations, though it could be seen as slightly sparse for a 'Toolkit Pro' label.
The GitHub toolset is read/search-only, lacking any create, update, or delete operations for issues or PRs. The task list tool only supports creation, with no way to update or delete tasks, creating dead-ends in workflows. For a general-purpose toolkit, the absence of write operations and task lifecycle management represents significant gaps.