PROJECT 01
MCP server for querying a local knowledge base
Example hands-on exercise
MODEL CONTEXT PROTOCOL
MCP Development with Python.
Learn to create Model Context Protocol (MCP) servers that connect AI applications to tools, data sources, and APIs using Python.
MCP ServersTools & ResourcesPython
Bangalore, Karnataka, India · Request fees, duration & batch timings
01 / LEARNCore concepts
Understand the foundations
02 / PRACTICEApplied exercises
Work with practical examples
03 / BUILDProject ideas
Explore hands-on workflows
PROGRAM OVERVIEW
What you could learn.
A suggested progression of topics for MCP Development with Python. The final lesson plan can be confirmed with the institute before enrollment.
01Model Context Protocol (MCP) fundamentals
02MCP clients, servers, and transports
03Creating Python tools and resource endpoints
04Integrating third-party APIs and data sources
05Authentication, permissions, and secure tool design
06Testing and debugging MCP integrations
Recommended starting point
Intermediate Python and familiarity with JSON and APIs recommended.
PRACTICAL LEARNING
Learning outcomes.
Explore the capabilities this course aims to develop.
Explain MCP components and common use cases
Create a Python MCP server exposing tools
Apply basic validation and access controls
PORTFOLIO PRACTICE
Project ideas.
Examples of practice projects that could support the learning journey.
PROJECT 02
API-connected tool server for an AI assistant
Example hands-on exercise
LET'S CONNECT
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