Bitbucket + Memtro

What you can do with Bitbucket in Memtro

Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Bitbucket tool, reads what it needs, and answers with the source cited.

• List repositories across your workspaces
• Search pull requests and read them with comments, approvals and changed files
• Browse commits on any branch or path
• Read files or search code across a workspace
• Inspect Pipelines runs with step results and failed-step logs
• Hourly sync of merged or declined pull requests and failed main-branch pipelines

Ask it like this

Questions people ask once Bitbucket is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.

• ›Which pull requests in acme/web are open and unapproved?
• ›What did PR 142 change and who requested changes?
• ›Why did the last pipeline on main fail for the checkout service?
• ›Show the recent commits touching src/billing
• ›Read bitbucket-pipelines.yml from the develop branch

Where it fits

Teams that get the most from Bitbucket in Memtro, with the rest of their stack attached.

• EngineeringKeep decisions from evaporatingDecisions, owners and deadlines are extracted from conversations and tool results into a typed, time-aware memory. Corrections supersede old facts instead of piling up next to them.
• ProductHear what customers actually ask forFeature requests are scattered across tickets, call notes, Slack threads and issues. Memtro reads them where they live, links them to the customers who raised them, and remembers which decision closed each one.
• Agent buildersMemory and tools for the agents you buildPoint your own agent at Memtro over the OpenAI-compatible API or MCP and it gets long-term memory, connectors that read by default and act where you grant it, and model routing without you building any of it.

Questions

Can Memtro change anything in Bitbucket?

Only when you ask, and only what it has been granted: comment on a pull request, on the whole request or inline on one file and line; approve a pull request, take that approval back, or request changes; commit files to a branch as one commit, starting the branch from another when it is new; open a pull request from a branch that is already on Bitbucket; change a pull request's title, description, destination branch or draft state, or decline it; merge a pull request, choosing the strategy and whether the source branch goes. Every other tool reads, searches or lists. The Connections page labels the tools that act, an administrator grants each one by name to the teams that may use it, and a personal connection acts only after its owner allows it.

Who can use a Bitbucket connection?

A personal connection serves only your own requests. A shared connection serves the organisation: everyone, or only the teams an admin chooses. Admins can always add shared connections; other members need the permission.

Does Memtro store my Bitbucket data?

Credentials are encrypted at rest. Tool results are cached briefly so agent loops do not repeat identical calls, and the facts the model extracts are saved to your organisation's memory with provenance (system, record and link) so they can be checked and superseded. An hourly sync anchors recently changed Bitbucket records into memory as entities.

How do I connect Bitbucket?

API key. In your Atlassian account open Security → Create and manage API tokens → Create API token with scopes.