# mcp-travis

> Use this tool when you need to manage and monitor continuous integration builds, as it enables users to view logs, compare builds, and gain insights through natural language inputs, solving problems related to build management and optimization. It takes natural language queries as input and provides build information and insights as output. Ideal for use in software development and testing contexts where Travis CI is utilized.

Canonical page: https://skillsregistry.net/skills/montana-mcp-travis  
JSON: https://api.skillsregistry.net/v1/skills/montana-mcp-travis

## Description

Enables users to manage Travis CI builds, view logs, compare builds, and get insights through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wyh54gsmlm)
- **Repository:** <https://github.com/Montana/mcp-travis>

## 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": "montana-mcp-travis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/montana-mcp-travis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/montana-mcp-travis/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