# Saiten MCP Server

> Use this tool when you need to streamline the evaluation of hackathon submissions on GitHub, automating tasks such as data collection, scoring, and report generation. It solves problems of scoring consistency and outlier detection, providing a standardized framework for feedback generation. The Saiten MCP Server takes in GitHub issue data and outputs ranked reports, making it ideal for hackathon organizers and judges seeking to efficiently manage and evaluate submissions.

Canonical page: https://skillsregistry.net/skills/aktsmm-fy26-techconnect-saiten  
JSON: https://api.skillsregistry.net/v1/skills/aktsmm-fy26-techconnect-saiten

## Description

Automates the evaluation of GitHub hackathon submissions by providing tools to collect issue data, apply scoring rubrics, and generate ranking reports. It enables a multi-agent system to manage scoring consistency, statistical outlier detection, and feedback generation through the GitHub CLI.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z2597dfao4)
- **Repository:** <https://github.com/aktsmm/FY26_techconnect_saiten>

## 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": "aktsmm-fy26-techconnect-saiten"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aktsmm-fy26-techconnect-saiten` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aktsmm-fy26-techconnect-saiten/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