Confluence Data Center
The Confluence MCP server provides AI assistants with direct access to Confluence Data Center content through a comprehensive REST API integration. Built with Python using FastMCP, it enables operations such as executing CQL searches, retrieving page content, finding pages by space or title, and creating, updating, or deleting pages. The server handles authentication, response processing, and error management while providing detailed logging. This implementation is particularly valuable for teams who need to maintain documentation, access knowledge bases, or manage content in Confluence without switching contexts, making it ideal for documentation workflows, knowledge management, and collaborative content creation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/masna-ai/mcp-confluence-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Confluence Data Center from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.