Confluence MCP Server

Confluence MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. General-purpose AI-powered Confluence toolkit — export, publish, and describe pages.

What you get

An AI-powered toolkit for Automotive SPICE (ASPICE) compliance self-assessment, with a Confluence Cloud integration and an MCP (Model Context Protocol) server. Published as three independent Python packages so you can use only the parts you need.

What the assistant can call

Once Confluence is connected, these are the calls the assistant has available:

• Credentials — The Credentials tool exposed by this server

Configuration and credentials

You will need 3 environment variables: CONFLUENCE_EMAIL, CONFLUENCE_API_TOKEN, AWS_DEFAULT_REGION. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Confluence's toolset — Credentials — is a fair guide to whether it matches your workflow. It is maintained by Stefan Tarana; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the confluence mcp server does with a few real requests.