Bitbucket MCP | OAuth Bitbucket connector for AI agents

Tools your devops agent reaches for on Bitbucket, scoped per user.

CALL ANY TOOL

List repos, pull requests, pipelines, and issues. Track reviewers and CI status.

bitbucket_repos_list

List repos

List Bitbucket repositories accessible to the user.

Parameters

Name

Type

Required

Description

workspace

string

Required

Workspace slug

role

string

Optional

Role filter: owner, admin, contributor, member

bitbucket_pull_requests_list

List pull requests

bitbucket_pull_request_get

Get pull request

bitbucket_pipelines_list

List pipelines

bitbucket_issues_list

List issues

Build your Agent

Drop the toolkit in, point it at the user, and your devops agent can use Bitbucket from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["bitbucket"], toolNames: ["bitbucket_repos_list", "bitbucket_pull_requests_list", "bitbucket_pull_request_get"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

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import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["bitbucket"], toolNames: ["bitbucket_repos_list", "bitbucket_pull_requests_list", "bitbucket_pull_request_get"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["bitbucket"], toolNames: ["bitbucket_repos_list", "bitbucket_pull_requests_list", "bitbucket_pull_request_get"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

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import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/bitbucket",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using Bitbucket.

Search & recall

Copy the prompt

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List all open PRs in [repo].

Copy the prompt

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Show me failed pipelines in the last 24 hours.

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Which PRs are assigned to me?

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Get the status of pipeline [pipeline_id].

Action & reviews

Copy the prompt

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Approve PR #[id] in [repo].

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Comment on PR #[id]: [text].

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Trigger a pipeline on [branch].

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Create an issue in [repo]: [title].

CI & releases

Copy the prompt

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Which builds are running right now?

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List all merged PRs this week.

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Get the latest pipeline status on main.

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Compare CI run times by stage in [repo].

SEE HOW AUTH WORKS

Users authorize Bitbucket once. Their credentials stay vaulted, every call is checked, and every action is logged.

Authorize

Your user connects

Bitbucket

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

Store

Their

Bitbucket

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

Resolve

When your agent calls a

Bitbucket

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

Audit

Every

Bitbucket

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other devops agents and MCP connectors. Working code, live demos, fork what fits.

ENGINEERING

Auto-release notes agent

Group merged GitHub PRs by feature, fix, or chore and publish release notes per tag. No manual changelog grooming.

GitHub

View agent

ENGINEERING

DevOps assistant agent

Triage GitHub incidents, open Linear tickets, and notify the on-call channel in Slack with context already attached.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

PR reviews attributed to a bot account

A shared Bitbucket token looks fine in a demo. In production, every PR comment, pipeline trigger, and repo write logs as the integration. Workspace attribution breaks. Reviewer identity breaks. Scalekit resolves the actual developer's token so every Bitbucket action is attributed correctly.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Bitbucket today. GitHub, GitLab, Linear tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit

Frequently Asked Questions

Does the agent access Bitbucket as the user or as a shared key?

As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Bitbucket oauth 2.0 stored?

Can I limit what the agent is allowed to do in Bitbucket?

What happens when a user revokes Bitbucket access?

Does the agent respect Bitbucket workspace and repo roles?

Start in your coding agent

Up and running in one command

Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up

Claude Code REPL

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/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack

Cursor Code REPL

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# ~/.cursor/mcp.json
{
""mcpServers"": {
""bitbucket"": {
""url"": ""https://mcp.scalekit.com/bitbucket"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}

Codex Code REPL

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# ~/.codex/config.toml
[mcp_servers.bitbucket]
url = ""https://mcp.scalekit.com/bitbucket""
auth_env = ""SCALEKIT_TOKEN""

Copilot Code REPL

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# .vscode/mcp.json
{
""servers"": {
""bitbucket"": {
""url"": ""https://mcp.scalekit.com/bitbucket"",
""type"": ""http""
}
}
}