# mcp-confluence

> mcp-confluence — sirexelite-mcp-confluence. Use this tool when you need to integrate large language models (LLMs) with Confluence Server or Data Center, enabling agents to search, create, and edit content, and manage comments, labels, and attachments via the Confluence REST API. This tool solves problems related to content management, knowledge retrieval, and collaboration, providing a seamless interface between LLMs and Confluence. It accepts API requests as input and returns relevant Confluence data as output, ideal for use cases requiring automated content generation, information retrieval, or workflow automation.

Canonical page: https://skillsregistry.net/skills/sirexelite-mcp-confluence  
JSON: https://api.skillsregistry.net/v1/skills/sirexelite-mcp-confluence

## Description

MCP server for Confluence Server/Data Center (self-hosted) that gives LLM agents access to search, read, create/edit pages, comments, labels, and attachments via the Confluence REST API.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d0l3ozz4g4)
- **Repository:** <https://github.com/sirexelite/mcp-confluence>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sirexelite-mcp-confluence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sirexelite-mcp-confluence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sirexelite-mcp-confluence/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt