# Chitkara University MCP Server

> Use this tool when you need to interact with Chitkara University's data services using natural language, enabling programmatic access to the university's API for tasks such as retrieving information or performing actions. It solves problems related to automating conversations with university services, providing a seamless interface for agents to query or update data. The server accepts natural language inputs and returns relevant data outputs, making it ideal for use cases that require intuitive and automated interactions with university data.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-chitkara-university  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-chitkara-university

## Description

A Multi-Agent Conversation Protocol server that provides programmatic access to Chitkara University's API, auto-generated using AG2's MCP builder to enable natural language interactions with the university's data services.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cgxtzf05d4)
- **Repository:** <https://github.com/ag2-mcp-servers/chitkara-university>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ag2-mcp-servers-chitkara-university"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-chitkara-university` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-chitkara-university/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
