
Software Development Internship
Lead Generation MCP
Today's Plan
09:00
Morning Stand-up
11:00
Workshop
14:00
Focus Time
16:00
Coffee Talks
What You'll Build
A web-based AI-powered lead generation platform and embedded MCP (Model Context Protocol) server enabling users and external AI agents to discover, enrich, evaluate, score, and qualify B2B leads through an end-to-end automated workflow.
To Do
Lead Qualification & Scoring Engine
AI Engine & Workflow Orchestration
Web Application & Lead Generation UI
Embedded MCP Server Integration
+2
In Progress
Lead Generation Workflow & Data Model
ICP Discovery & Definition Engine
Lead Discovery & Search Engine
Lead Enrichment Pipeline
In Review
Done
R&D and Technology Selection
Your tasks may vary depending on your project, mentor, and team. These are examples of the kind of work you'll experience.
Project Timeline
Follow the project from kickoff to final presentation.
R&D and Technology Selection
Exploration of lead discovery data sources, web search and data providers, enrichment services, LLM providers, MCP libraries, scoring approaches, and the technologies required for an AI-powered lead generation engine.
Done
Lead Generation Workflow & Data Model
Designing the end-to-end lead generation workflow and data model covering ICP definition, lead discovery, company and contact enrichment, qualification, scoring, filtering, and result management.
In Progress
ICP Discovery & Definition Engine
Building an AI-assisted workflow for defining and structuring an Ideal Customer Profile using company characteristics, industry, geography, company size, technologies, business signals, roles, and other qualification criteria.
In Progress
Lead Discovery & Search Engine
Developing the lead discovery pipeline that identifies potential companies and contacts based on ICP criteria, search queries, market segments, and configurable discovery parameters.
In Progress
Lead Enrichment Pipeline
Building the enrichment workflow for collecting and normalizing additional company and contact information such as industry, company size, website, location, technologies, decision-maker roles, public profiles, and relevant business signals.
In Progress
Lead Qualification & Scoring Engine
Implementing configurable AI-assisted qualification and scoring models that evaluate discovered and enriched leads against ICP criteria and generate explainable lead scores, qualification signals, and confidence levels.
To Do
AI Engine & Workflow Orchestration
Building the internal AI engine that coordinates discovery, enrichment, qualification, and scoring steps, manages prompts and structured outputs, and enables automated multi-step lead generation workflows.
To Do
Web Application & Lead Generation UI
Developing the user interface for defining ICPs, configuring lead generation workflows, monitoring execution, reviewing discovered leads, inspecting enrichment data, and analyzing qualification and scoring results.
To Do
Embedded MCP Server Integration
Defining and implementing MCP Tools and Resources that expose lead discovery, ICP analysis, enrichment, qualification, scoring, and workflow capabilities to external AI agents and MCP-compatible clients.
To Do
AI Agent & MCP Interoperability
Testing the MCP server with external AI agents and clients to ensure agents can discover available tools, provide structured parameters, execute lead generation workflows, and consume structured lead intelligence results.
To Do
End-to-End Testing & Lead Quality Evaluation
Testing complete ICP-to-scored-lead workflows, validating enrichment accuracy, evaluating scoring consistency, handling incomplete or conflicting data, and verifying both UI-driven and AI-agent-driven execution scenarios.
To Do
What You'll Walk Away With
By the end of the program, you'll leave with practical experience and tangible outcomes.
Guidance and Tools
Meet the mentor leading this project and explore the tools you'll use throughout the internship.

Ready to Build It?
If this project feels like the right challenge, we'd love to see what you'll bring to the team.
Start your application and