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Atlassian Confluence MCP

  • 30 repo stars
  • Updated May 12, 2026
  • mcparmory/registry

com.mcparmory/atlassian-confluence is an MCP server that automates creating, searching, and managing Confluence pages and attachments from your AI coding agent.

About

com.mcparmory/atlassian-confluence is a Model Context Protocol server that connects Claude Code, Cursor, Codex, and similar agents to Atlassian Confluence. developers and small teams use it during the build phase to draft feature specs, migration runbooks, and onboarding pages directly from the IDE, then search and revise existing spaces without context switching. The server exposes tools for creating and managing pages, handling attachments, and querying content so documentation stays current as code changes. It runs over stdio and ships two runtime options: uvx from PyPI (mcparmory-atlassian-confluence) or a Docker image from ghcr.io/mcparmory/atlassian-confluence. You need Atlassian Cloud credentials with appropriate Confluence scopes. This is an integration layer, not a writing skill—it executes against your live Confluence tenant once configured in your agent’s MCP settings.

  • Create and update Confluence pages from agent prompts without opening the browser
  • Search workspace content and manage attachments with full automation support
  • stdio MCP transport with uvx (PyPI) or Docker OCI install paths
  • Published as com.mcparmory/atlassian-confluence v1.0.8 on the MCP Armory registry
  • Pairs with Jira MCP when specs live in Confluence and work tracks in issues

Atlassian Confluence MCP by the numbers

  • Data as of Aug 11, 2026 (Skillselion catalog sync)
terminal
claude mcp add mcparmory-atlassian-confluence -- uvx mcparmory-atlassian-confluence

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repo stars30
Packagemcparmory-atlassian-confluence
TransportSTDIO
AuthNone
Last updatedMay 12, 2026
Repositorymcparmory/registry

What it does

Let your coding agent create, update, search, and attach files on Confluence so product specs and runbooks stay in sync with what you ship.

Who is it for?

Best when you're on Atlassian Cloud and want agent-driven wiki updates during feature work.

Skip if: Skip if you're without Confluence, or those and only need local Markdown in the repo with no Atlassian stack.

What you get

After you register the server, your agent can read and write Confluence content in-thread so documentation updates ship with the same session as your code changes.

  • Agent-callable tools to create, update, and search Confluence pages
  • Attachment management against your Confluence spaces
  • Live wiki content reflected in agent threads without manual copy-paste

By the numbers

  • Server version 1.0.8 with 2 distribution packages (PyPI uvx and Docker OCI)
  • stdio transport only per MCP Armory server schema
  • Registry identifier mcparmory-atlassian-confluence on PyPI
README.md

MCP Armory

MCP Armory Registry

Production-ready MCP servers for popular APIs, generated by MCP Blacksmith.

GitHub Stars License Servers Python 3.11+

Servers · Install & Usage · Features · How it works · License


MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

Servers

🧠 AI & Machine LearningElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 AnalyticsAhrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & CryptoAlchemy NFT

💼 CRM & SalesApollo

💬 CommunicationAtlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & DatabasesEnigma · Pinecone

🛠️ Developer ToolsAgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & PrintingPDF.co

🛒 E-commerceShopify Admin

💰 FinanceAlpha Vantage · Polygon · Ramp

👥 HR & RecruitingBambooHR

☁️ InfrastructureGlobalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & ComplianceNetLicensing

🗺️ Maps & LocationGoogle Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 MarketingCustomer.io Journeys Track · Klaviyo

🎬 Media & EntertainmentCanva · Perigon

ProductivityAirtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 SearchAlgolia Search · Google Search

📦 StorageBox · Files.com · Google Drive

📌 OtherClose

More servers are being added continuously.

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


MCP Armory · MCP Blacksmith · Docs

Recommended MCP Servers

How it compares

MCP integration to Confluence Cloud—not a doc-writing skill or static site generator.

FAQ

Who is com.mcparmory/atlassian-confluence for?

and small-team developers using Atlassian Confluence MCP who want their coding agent to manage pages and attachments programmatically.

When should I use com.mcparmory/atlassian-confluence?

Use it during build and ship when you maintain internal specs, ADRs, or runbooks in Confluence and want updates without leaving the agent.

How do I add com.mcparmory/atlassian-confluence to my agent?

Add an MCP server entry with stdio transport, run via uvx mcparmory-atlassian-confluence or the ghcr.io Docker image, and configure Atlassian API credentials in the environment your client expects.

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