Confluence

Live

OAUTH 2.0

COLLABORATION

Project Management

Every runbook, RFC, and team wiki page your team writes in Confluence. Confluence MCP gives your agent authenticated access to your knowledge base scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the Confluence account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
Confluence
agent · Acme Q3
Run
Find all runbooks tagged 'on-call' updated in the last 30 days.
S
confluence_search
82ms
Knowledge agent
7 runbooks updated. Top hits: incident response playbook (Oct 28), database failover (Oct 25), webhook retry policy (Oct 22), auth outage runbook (Oct 19), payment gateway escalation (Oct 18).
Sources: 7 pages, on-call space, last 30 days
confluencemcp
7 pages
18:29
Message Claude...

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_access_by_email_check
Check access by email
Check site access for a list of emails. Returns the subset of emails from the input list that do NOT currently have access to the Confluence site. Requires permission to access the Confluence site.
Parameters
Name
Type
Required
Description
emails
array
Required
JSON array of email addresses to check for site access
confluence_attachment_comments_get
Get attachment comments
confluence_attachment_delete
Delete attachment
confluence_attachment_versions_get
Get attachment versions
confluence_attachments_list
List attachments
confluence_blogpost_create
Create blogpost
confluence_blogpost_labels_get
Get blogpost labels
confluence_blogpost_property_update
Update blogpost property
confluence_blogpost_versions_list
List blogpost versions
confluence_custom_content_children_get
Get custom content children
confluence_database_ancestors_get
Get database ancestors
confluence_database_delete
Delete database
confluence_folder_create
Create folder
confluence_folder_direct_children_get
Get folder direct children
confluence_footer_comment_like_users_get
Get footer comment like users
confluence_inline_comment_like_users_get
Get inline comment like users
confluence_inline_comments_list
List inline comments
confluence_label_pages_get
Get label pages
confluence_page_custom_content_get
Get page custom content
confluence_page_like_count_get
Get page like count
confluence_page_property_delete
Delete page property
confluence_page_property_update
Update page property
confluence_page_versions_get
Get page versions
confluence_search
Search
confluence_smart_link_create
Create smart link
confluence_space_blogposts_list
List space blogposts
confluence_space_get
Get space
confluence_space_permissions_list
List space permissions
confluence_space_role_assignments_set
Set space role assignments
confluence_space_role_mode_get
Get space role mode

For more tools, view docs.

Build your Agent
Drop the toolkit in, point it at the user, and your knowledge agent can use Confluence from the first run.
Python · LlamaIndex
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 });
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 }],
});
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
Copied
Find pages tagged [label] in [space].
Copy the prompt
Copied
Get the latest runbook for [topic].
Copy the prompt
Copied
Show me pages updated this week.
Copy the prompt
Copied
List pages in [space name].
Action & creation
Copy the prompt
Copied
Create a runbook in [space]: [title] with [body].
Copy the prompt
Copied
Update [page name] to add [section].
Copy the prompt
Copied
Comment on [page]: [text].
Copy the prompt
Copied
Move [page] under [parent page].
Reporting & audits
Copy the prompt
Copied
Which pages are outdated (no edit in 90 days)?
Copy the prompt
Copied
List page owners in [space].
Copy the prompt
Copied
Find duplicate pages on [topic].
Copy the prompt
Copied
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.
1
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
2
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
3
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
4
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.
Engineering Teams
Engineering standup agent
Pulls commits from GitHub and GitLab, tracks issue movement in Jira, and posts a per-engineer standup brief to Slack. Each engineer's activity is read on their own delegated OAuth.
Engineering Teams
DevOps assistant agent
Polls GitHub for failing checks and stale PRs, opens Linear issues for the ones that need work, and posts a daily digest to Slack. It acts as the engineer, not a shared service account.
Engineering Teams
Slack triage
Polls Slack for new messages, classifies bugs and support requests with a LangGraph router, files GitHub issues or Zendesk tickets, and confirms in the thread.
People Ops and HR teams
Performance review collector
Collects review feedback from Airtable and Google Forms scoped to each manager's direct reports, writes per-employee summaries to Notion, and DMs the manager a Slack digest.
Test other agents
Same per-user auth pattern across other knowledge agents and MCP connectors. Working code, live demos, fork what fits.
ENGINEERING
Engineering standup agent
Pull commits from GitHub and GitLab, track Jira issue movement, and post a per-engineer standup brief to Slack.
ENGINEERING
DevOps assistant agent
Poll GitHub for failing checks and stale pull requests, open Linear issues for the ones that need work, and digest to Slack.
ENGINEERING
Slack triage agent
Classify new Slack messages as bugs or support requests, file the GitHub issue or Zendesk ticket, and reply in the thread.
PEOPLE OPS
Performance review collector agent
Collect review feedback from Airtable and Google Forms per manager, summarise each report in Notion, and DM the digest in Slack.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
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
FAQs
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?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Confluence?
Yes. Pass a tool name filter to listScopedTools so the knowledge agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Confluence.

What happens when a user revokes Confluence access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Which Confluence spaces can the agent search?
Only spaces the authorizing user has read access to. Page restrictions, space permissions, and Atlassian group scoping all apply. Private pages and restricted runbooks stay inaccessible.

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
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""confluence"": {
""url"": ""https://mcp.scalekit.com/confluence"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.confluence]
url = ""https://mcp.scalekit.com/confluence""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""confluence"": {
""url"": ""https://mcp.scalekit.com/confluence"",
""type"": ""http""
}
}
}