# bitbucket-server-mcp

> bitbucket-server-mcp — upendrasengar-bitbucket-server-mcp. Use this tool when you need to manage and interact with Bitbucket Server repositories, pull requests, and code reviews through natural language inputs. It enables file browsing, PR management, and review actions, solving problems such as streamlining development workflows and enhancing collaboration. The tool accepts natural language commands as input and outputs repository data, PR updates, and review results, making it ideal for developers and teams seeking to simplify their code management processes.

Canonical page: https://skillsregistry.net/skills/upendrasengar-bitbucket-server-mcp  
JSON: https://api.skillsregistry.net/v1/skills/upendrasengar-bitbucket-server-mcp

## Description

Enables to interact with Bitbucket Server repositories, pull requests, and code reviews, including file browsing, PR management, and review actions through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c36oa29g8j)
- **Repository:** <https://github.com/Upendrasengar/bitbucket-server-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": "upendrasengar-bitbucket-server-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/upendrasengar-bitbucket-server-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/upendrasengar-bitbucket-server-mcp/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