# Confluence MCP Server

> Use this tool when you need to integrate Large Language Models with Confluence Wiki content, enabling automated searching, reading, and exploration of wiki pages through HTML-to-Markdown conversion. It solves problems of content accessibility and compatibility, supporting flexible deployment via local stdio or containerized HTTP/SSE transport modes. Ideal for use cases requiring seamless interaction between language models and Confluence content, with inputs including HTML wiki pages and outputs in Markdown format.

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

## Description

Bridges Confluence Wiki with Large Language Models, allowing them to search, read, and explore content through automated HTML-to-Markdown conversion. It supports both local stdio and containerized HTTP/SSE transport modes for flexible deployment.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gfefcx7dqp)
- **Repository:** <https://github.com/OkYongChoi/confluence-mcp-container>

## 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": "okyongchoi-confluence-mcp-container"
    }
  }
}
```

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

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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
