# release-intel

> release-intel — barissozudogru-release-intel-mcp. Use this tool when you need to generate release intelligence from GitHub repository data to create structured context for release notes, changelogs, and summaries. It correlates commits, pull requests, issues, and contributors between two git refs, solving problems of manual data aggregation and release note creation. The tool takes GitHub repository data as input and produces organized release intelligence as output, ideal for use during software release cycles.

Canonical page: https://skillsregistry.net/skills/barissozudogru-release-intel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/barissozudogru-release-intel-mcp

## Description

An MCP server that generates release intelligence from GitHub repository data, correlating commits, pull requests, issues, and contributors between two git refs to produce structured context for release notes, changelogs, and summaries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ciq3xw7235)
- **Repository:** <https://github.com/barissozudogru/release-intel-mcp>

## 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": "barissozudogru-release-intel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barissozudogru-release-intel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barissozudogru-release-intel-mcp/pull`

---
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