Portfolio MCP Server
Enables searching and retrieving portfolio data including experience, skills, and contact information through natural language queries.
README
Portfolio MCP Server
A dual-stack Model Context Protocol (MCP) server for Srikanth Karthikeyan's portfolio data, available in both Node.js and Python implementations with containerized deployment options.
Features
The server provides the following tools:
🔍 search_portfolio
Search through portfolio data by keywords, category, or content.
Parameters:
query(required): Search query to find relevant informationcategory(optional): Filter by specific categorylimit(optional): Maximum results to return (default: 10)
📂 get_portfolio_categories
Get all available categories in the portfolio data.
🎯 get_portfolio_item
Get a specific portfolio item by ID.
Parameters:
id(required): The ID of the portfolio item
📞 get_contact_info
Get all contact information.
💻 get_tech_stack
Get detailed information about technical skills and tools.
Parameters:
type(optional): Filter by specific tech type
🚀 Installation & Deployment
Package Registries
Node.js Packages (Both Registries)
# From npmjs.com (public)
npm install srikanth-mcp-portfolio-server
# From GitHub Packages
npm install @srikanth-karthi/srikanth-mcp-portfolio-server
Python Package
# From PyPI (public)
pip install srikanth-mcp-portfolio
Docker Deployment (Multiple Registries)
From Docker Hub (Public)
# Node.js version
docker run -it srikanthkarthi/mcp-portfolio-server:nodejs-latest
# Python version
docker run -it srikanthkarthi/mcp-portfolio-server:python-latest
# Multi-runtime version
docker run -it srikanthkarthi/mcp-portfolio-server:multi-latest
From GitHub Container Registry
# Node.js version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:nodejs-latest
# Python version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:python-latest
# Multi-runtime version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:multi-latest
Using Docker Compose (Local Development)
# Choose one:
docker compose up mcp-portfolio-nodejs # Node.js only
docker compose up mcp-portfolio-python # Python only
docker compose up mcp-portfolio-multi # Both runtimes
Development Setup
Node.js Development
npm install
npm run dev
Python Development
pip install -e .
python -m mcp_portfolio_server.server
🔧 Claude Desktop Integration
Using Docker Hub (Public)
{
"mcpServers": {
"portfolio": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"srikanthkarthi/mcp-portfolio-server:latest"
]
}
}
}
Using GitHub Container Registry
{
"mcpServers": {
"portfolio": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/srikanthkarthi/mcp-portfolio-server:latest"
]
}
}
}
Using npm Package (Public Registry)
{
"mcpServers": {
"portfolio": {
"command": "npx",
"args": ["srikanth-mcp-portfolio-server"]
}
}
}
Using npm Package from GitHub Packages
{
"mcpServers": {
"portfolio": {
"command": "npx",
"args": ["@srikanth-karthi/srikanth-mcp-portfolio-server"]
}
}
}
Using Python Package
{
"mcpServers": {
"portfolio": {
"command": "python",
"args": ["-m", "mcp_portfolio_server.server"]
}
}
}
Development Mode
{
"mcpServers": {
"portfolio": {
"command": "node",
"args": ["/path/to/mcp-portfolio/src/index.js"],
"cwd": "/path/to/mcp-portfolio"
}
}
}
📦 Automated Building & Publishing
GitHub Actions Workflows
The repository includes automated CI/CD workflows:
- Triggers: Git tags (
v*) or manual workflow dispatch - Builds: Multi-architecture Docker images (AMD64/ARM64)
- Publishes:
- Node.js package to GitHub Packages
- Python package to PyPI
- Docker images to GitHub Container Registry
Manual Building
Docker Build Commands
# Build Node.js image
docker build --target nodejs -t mcp-portfolio:nodejs .
# Build Python image
docker build --target python -t mcp-portfolio:python .
# Build multi-runtime image
docker build --target multi -t mcp-portfolio:multi .
Configuration Options
| Environment Variable | Description | Default |
|---|---|---|
NODE_ENV |
Node.js environment | production |
PYTHONUNBUFFERED |
Python output buffering | 1 |
DATA_PATH |
Portfolio data file path | /app/db/portfolio-data/ai-portfolio.json |
Switch between Node.js and Python in multi-runtime container:
# In docker-compose.yml, uncomment to use Python:
command: ["python3", "-m", "mcp_portfolio_server.server"]
Data Categories
The server provides access to the following portfolio categories:
- Profile Summary: Overview and introduction
- Current Position: Job title, company, duration
- Current Work: Responsibilities and projects
- Experience: Work history and achievements
- Education: Academic background
- Tech Stack: Programming languages, frameworks, tools
- Certifications: Professional certifications
- Volunteerism: Community service and activities
- Contact: Social media and professional links
- Languages: Language proficiency
Example Queries
- Search for cloud experience:
search_portfolio("cloud", "Experience") - Get all tech stack info:
get_tech_stack() - Find contact information:
get_contact_info() - Search for certifications:
search_portfolio("aws certification")
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。