RAM SURYA
CHELLUBOYINA
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ALL EXPLORATIONS

AI & EDUCATION

PROJECT NOTES / 2026

Campus AI Toolkit.

Offline teaching tools for MCP-compatible assistants: prompt review, ethics scenarios, workshop plans, quizzes, rubrics, and policy checks.

Explore the source
02 / WORKFLOW STUDYTEACHING WITH AI

A teaching toolkit.
Close at hand.

START WHERE YOU WORK

Your AI
assistant.

MCP-compatible client
LOCAL MCP SERVERTeaching tools,
within reach.

Embedded content. Standard input/output. No network required by the tools.

A FEW THINGS IN THE TOOLKIT
  • Prompt review
  • Ethics scenarios
  • Workshop plans
  • Quizzes & rubrics
Campus AI Toolkit / System study

Selected offline tools exposed to compatible assistants through MCP.

Original diagram · based on public source

01 / THE CONTRIBUTION

My part in the project.

Repository owner and package author, with a public TypeScript MCP server implementation.

02 / INSIDE THE BUILD

The choices underneath.

  1. Use the official MCP SDK and standard input/output transport to work inside compatible AI clients.

  2. Embed teaching content and templates so the tools can operate offline.

  3. Distribute the server as an npm package so it can be installed alongside existing development tools.

03 / STATUS & LIMITS

Where it stands.

  • Prompt and output feedback uses keyword and pattern heuristics, so it is not validated fact checking.
  • Institution-specific policies still need to be checked against the guidance used in a workshop.

04 / KEEP EXPLORING

Read it at the source.

Explore the code and follow the latest state of the project in its repository.

View Campus AI Toolkit on GitHub
About these project notes

Public TypeScript implementation and npm v1.1.0 publication, released in September 2026.