Confluence MCP | OAuth Confluence connector for AI agents

Tools your knowledge agent reaches for on Confluence, scoped per user.

CALL ANY TOOL

Search spaces and pages, retrieve content, create runbooks, and update wiki entries.

confluence_search

Search pages

Search Confluence pages and spaces with CQL or simple text query.

Parameters

Name

Type

Required

Description

cql

string

Optional

Confluence Query Language

text

string

Optional

Plain text search

limit

integer

Optional

Max results

confluence_page_get

Get page

confluence_page_create

Create page

confluence_page_update

Update page

confluence_spaces_list

List spaces

confluence_comments_list

List comments

Build your Agent

Drop the toolkit in, point it at the user, and your knowledge agent can use Confluence 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: ["confluence"], toolNames: ["confluence_search", "confluence_page_get", "confluence_page_create"] },
  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: ["confluence"], toolNames: ["confluence_search", "confluence_page_get", "confluence_page_create"] },
  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: ["confluence"], toolNames: ["confluence_search", "confluence_page_get", "confluence_page_create"] },
  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/confluence",
    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 Confluence.

Search & recall

Copy the prompt

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Find pages tagged [label] in [space].

Copy the prompt

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Get the latest runbook for [topic].

Copy the prompt

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Show me pages updated this week.

Copy the prompt

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List pages in [space name].

Action & creation

Copy the prompt

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Create a runbook in [space]: [title] with [body].

Copy the prompt

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Update [page name] to add [section].

Copy the prompt

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Comment on [page]: [text].

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Move [page] under [parent page].

Reporting & audits

Copy the prompt

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Which pages are outdated (no edit in 90 days)?

Copy the prompt

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List page owners in [space].

Copy the prompt

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Find duplicate pages on [topic].

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Compare [page A] and [page B] versions.

SEE HOW AUTH WORKS

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

Authorize

Your user connects

Confluence

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

Confluence

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

Confluence

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

Confluence

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 knowledge agents and MCP connectors. Working code, live demos, fork what fits.

SUPPORT

Support triage agent

Read Zendesk tickets, fetch runbooks from Notion, and route to the right Slack channel with a drafted response.

SUPPORT

Support ticket automation (Google ADK)

Google ADK agent that classifies Zendesk tickets, pulls Notion context, and posts to Slack. End-to-end ticket handoff.

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.

Page edits lose workspace attribution

A shared Confluence integration token looks fine in a demo. In production, every page update and space write logs as the integration, not the user. Page ownership breaks. Space permission scoping breaks. Scalekit resolves the actual user's token so every Confluence action is attributed to the right person.

// 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.

Confluence today. Notion, Google Docs, SharePoint 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 Confluence 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 Confluence oauth 2.0 stored?

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

What happens when a user revokes Confluence access?

Which Confluence spaces can the agent search?

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"": {
""confluence"": {
""url"": ""https://mcp.scalekit.com/confluence"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}

Codex Code REPL

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

Copilot Code REPL

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