prateek-resume-mcp-server by Pmahindra93 - MCP Server

Prateek Resume MCP Server

A Model Context Protocol (MCP) server that provides structured access to Prateek Mahindra's professional resume data through tools and intelligent prompts for job applications.

Features

🛠️ Tools (Data Retrieval)

Personal Information: Contact details and basic info
Professional Summary: Career overview and expertise
Skills: Technical competencies by category
Experience: Work history with filtering options
Education: Academic background and projects
Volunteering: Community involvement
Search: Find specific qualifications or technologies
Projects: Technical implementations by technology

🤖 Prompts (AI-Powered Analysis)

Role Fit Analyzer: Comprehensive job role compatibility analysis
Cover Letter Generator: Personalized cover letters for applications

Installation

Prerequisites

Node.js (v18 or higher)
npm or yarn

Setup

Clone the repository:

git clone <repository-url>
cd prateek-resume-mcp-server

Install dependencies:

npm install

Build the project:

npm run build

Run the server:

npm start

Usage

With Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "resume-server": {
      "command": "node",
      "args": ["/path/to/prateek-resume-mcp-server/build/index.js"]
    }
  }
}

With Other MCP Clients

The server communicates via stdio and follows the MCP protocol specification.

Available Tools

`get_personal_info`

Returns contact information and location details.

Usage: No parameters required

{
  "name": "Prateek Mahindra",
  "phone": "+447895882898",
  "email": "prateekmahindra@gmail.com",
  "linkedin": "LinkedIn",
  "website": "prateekmahindra.com",
  "location": "London, UK"
}

`get_summary`

Returns professional summary and career overview.

`get_skills`

Returns technical skills organized by category.

Parameters:

category (optional): Filter by "fullStackDevelopment", "dataAnalysis", "design", "aiModels", or "all"

`get_experience`

Returns work experience and achievements.

Parameters:

company (optional): Filter by company name

`get_education`

Returns educational background including degree, GPA, and academic projects.

`get_volunteering`

Returns community involvement and mentoring experience.

`search_qualifications`

Search across all resume sections for specific technologies, skills, or experiences.

Parameters:

query (required): Search term (e.g., "React", "Python", "leadership")

Example Response:

{
  "query": "react",
  "results": [
    {
      "type": "skill",
      "category": "fullStackDevelopment",
      "matches": ["React"]
    },
    {
      "type": "experience",
      "company": "Techfunic Inc.",
      "matches": ["Built language learning platform using React.js"]
    }
  ],
  "totalMatches": 2
}

`get_project_experience`

Returns project details and technical implementations.

Parameters:

technology (optional): Filter projects by specific technology

Available Prompts

`role_fit_analyzer`

Analyzes compatibility between Prateek's profile and a specific job role.

Parameters:

job_description (required): The job posting or role requirements
focus_area (optional): Focus on "technical skills", "leadership", or "cultural fit"

Returns: Comprehensive analysis including:

Overall fit score (1-10)
Key strengths and exact matches
Potential gaps or concerns
Specific interview talking points
Salary expectations
Strategic questions to ask

`cover_letter_generator`

Creates personalized cover letters highlighting relevant experience.

Parameters:

company_name (required): Target company name
role_title (required): Position being applied for

Returns: Professional cover letter with:

Strong opening hook
2-3 relevant achievements with metrics
Company knowledge demonstration
Cultural fit showcase
Confident call to action
Concise format (under 400 words)

Examples

Tool Usage Example

// Get React-related experience
const reactProjects = await callTool("get_project_experience", {
  technology: "react"
});

// Search for AI/ML qualifications
const aiSkills = await callTool("search_qualifications", {
  query: "ai"
});

Prompt Usage Example

// Analyze fit for a senior developer role
const analysis = await getPrompt("role_fit_analyzer", {
  job_description: "Senior Full Stack Developer at TechCorp...",
  focus_area: "technical skills"
});

// Generate cover letter for specific application
const coverLetter = await getPrompt("cover_letter_generator", {
  company_name: "Google",
  role_title: "Senior Software Engineer"
});

Development

Project Structure

src/
├── index.ts          # Main server implementation
├── types/            # TypeScript type definitions
└── utils/            # Utility functions

build/                # Compiled JavaScript output

Scripts

npm run build: Compile TypeScript to JavaScript
npm start: Run the compiled server
npm run dev: Development mode with hot reload

Extending the Server

Adding New Tools

Define the tool in the tools array
Add a case in the CallToolRequestSchema handler
Implement the tool logic

Adding New Prompts

Define the prompt in the prompts array
Add a case in the GetPromptRequestSchema handler
Create the prompt template

Resume Data

The server contains structured data for:

Personal Information: Contact details, location
Professional Summary: Career overview and specialties
Skills: Full-stack development, data analysis, design, AI models
Experience: AIVA Inc., Techfunic Inc., NAML Labs Inc.
Education: NYU Computer Science M.Sc.
Volunteering: Codebar.io coaching experience

All data is current as of January 2025.

License

MIT License - see LICENSE file for details.

Contact

For questions about this MCP server or Prateek's background:

Email: prateekmahindra@gmail.com
Website: prateekmahindra.com
LinkedIn: [LinkedIn Profile]