Bitbucket
This Bitbucket Server MCP implementation, developed for managing pull requests in Bitbucket Server environments, provides a TypeScript-based interface for AI assistants to interact with Bitbucket Server's API. Built using the Model Context Protocol SDK, it offers tools for creating, retrieving, merging, and declining pull requests, as well as adding comments and fetching diffs. The implementation focuses on streamlining PR workflows, making it easier for AI models to assist in code review processes and PR management. It's particularly useful for development teams using Bitbucket Server who want to integrate AI assistance into their PR workflows, enabling more efficient code reviews, automated PR creation, and status updates without requiring deep knowledge of Bitbucket Server's API intricacies.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Bitbucket from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.