What dependencies are required to run the server?
Go 1.25.5 or higher and network access to a Confluence Data Center instance are required.
@anudeepd
Basic information
A Go implementation of the Model Context Protocol (MCP) server for Atlassian Confluence Data Center
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"confluence": {
"command": "/path/to/atlassian-confluence-dc-go-mcp",
"env": {
"CONFLUENCE_API_TOKEN": "your-api-token",
"CONFLUENCE_BASE_URL": "https://confluence.example.com"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server built in Go that enables AI assistants and MCP clients to read, search, create, and update content in Atlassian Confluence Data Center edition. It uses bearer token authentication and the Confluence REST API v1.
Install via pre-built binaries from the Releases page, by building from source with go build ., or using go install github.com/anudeepd/atlassian-confluence-dc-go-mcp@latest. Set the required environment variables CONFLUENCE_API_TOKEN and CONFLUENCE_BASE_URL (or CONFLUENCE_HOST / CONFLUENCE_API_BASE_PATH), then configure your MCP client (e.g., Claude Desktop) to spawn the server binary with those environment variables.
Go 1.25.5 or higher and network access to a Confluence Data Center instance are required.
The server uses a bearer token set via the `CONFLUENCE_API_TOKEN` environment variable.
All Confluence data remains in the user's own Confluence Data Center instance; the server only sends API requests to that instance and does not store any data externally.
The server communicates over stdio using the MCP protocol, compatible with any MCP client (e.g., Claude Desktop, Claude Code).
The README does not mention any built-in rate limiting or usage limits; refer to your Confluence Data Center instance’s own API restrictions.

Model Context Protocol Servers
Project context your AI can query through MCP — with source evidence.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.
Comments