AgentIndex icon
AgentIndex
context-engineering logo
context-engineering
★ 171
vs
prospectio-api-mcp logo
prospectio-api-mcp
★ 21

context-engineering vs prospectio-api-mcp

context-engineering: Context engineering is the practice of providing LLMs with comprehensive context from various sources. It emphasizes that quality and completeness of context matter more than prompt wording. This repository is a companion resource for a book on context engineering, containing examples and an online prompt builder.; prospectio-api-mcp: Prospectio MCP API is a FastAPI-based application that implements the Model Context Protocol (MCP) for lead prospecting. It follows Clean Architecture principles with persistent storage using PostgreSQL and pgvector. The application provides a three-phase contact enrichment process using Perplexity web search and DuckDuckGo to discover professional information, LinkedIn URLs, and biographical details.

01

TL;DR

context-engineering logo
context-engineeringDev Tooling · ★ 171

Designing AI systems that provide comprehensive context to LLMs

Read context-engineering full review →
prospectio-api-mcp logo
prospectio-api-mcpDev Tooling · ★ 21

Lead prospecting and contact enrichment for sales teams

Read prospectio-api-mcp full review →
02

Side-by-Side Comparison

Field
context-engineering logocontext-engineering
prospectio-api-mcp logoprospectio-api-mcp
Category
Dev Tooling
Dev Tooling
Stars
★ 171
★ 21
License
Apache-2.0
—
Install Command
git clone https://github.com/bonigarcia/context-engineering.git
cp .env.example .env && poetry install
Updated
1d ago
7mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, agentic-ai, context-engineering
agentic-ai, ai, artificial-intelligence
03

Features

context-engineering logocontext-engineering
01Companion resource for the book 'Context Engineering'
02Hands-on examples for each chapter
03Online context-aware prompt builder tool
04Open-source and regularly updated reference
05Structured table of contents covering key topics
prospectio-api-mcp logoprospectio-api-mcp
01Clean Architecture with separation of domain, application, and infrastructure layers
02Three-phase contact enrichment: web search for contact info, LinkedIn URL discovery, and biography gathering
03Persistent storage with PostgreSQL and pgvector for efficient lead and profile management
04Supports both REST API and MCP protocol for flexible integration
05Dependency injection and strategy pattern for pluggable data sources
04

Use Cases

context-engineering logocontext-engineering
↳Designing AI systems that provide comprehensive context to LLMs
↳Learning context engineering principles and patterns
↳Building and testing context-aware prompts across multiple frameworks
prospectio-api-mcp logoprospectio-api-mcp
↳Lead prospecting and contact enrichment for sales teams
↳Integration with MCP-compatible clients like Claude or Gemini for automated workflows
↳Building and maintaining a comprehensive leads database with enriched professional data
FAQ

FAQ

What is the difference between context-engineering and prospectio-api-mcp?
Both context-engineering and prospectio-api-mcp are in the Dev Tooling category. context-engineering has 171 stars, while prospectio-api-mcp has 21 stars.
Which is better, context-engineering or prospectio-api-mcp?
The best choice depends on your use case. Choose context-engineering if Designing AI systems that provide comprehensive context to LLMs, and prospectio-api-mcp if Lead prospecting and contact enrichment for sales teams.
Is context-engineering free or open source?
Yes, context-engineering is open source on GitHub (Apache-2.0).
Is prospectio-api-mcp free or open source?
Yes, prospectio-api-mcp is open source on GitHub.
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