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DimensionAtlassian Confluence MCP ServerConnect AI assistants directly to your Confluence knowledge baseNotion MCP ServerOfficial Notion MCP server for querying, editing, and managing Notion pages and databases via AI agents.
FMRS37 / 100 · D64 / 100 · C
Reliability6 / 208 / 20
Security and permissions8 / 2017 / 20
Maintenance8 / 2010 / 20
Documentation8 / 2016 / 20
Setup experience7 / 2013 / 20
Best for
  • Developers who need quick access to technical documentation and API guides
  • Product managers searching for requirements, specs, and project updates
  • HR teams accessing policy documents and employee resources quickly
  • Support teams finding troubleshooting guides and knowledge base articles
  • Anyone who wants to interact with Confluence using natural language
  • Teams and individuals who already manage docs/wikis in Notion and want AI clients (Claude Desktop, Cursor, etc.) to operate on that content directly
  • Developers who want to self-host a local MCP server rather than use a remote hosted option
  • Automation/agent workflows that need to query or update Notion database records programmatically
Not for
  • Users on Confluence Server or Data Center (on-premise), as this tool supports only Confluence Cloud.
  • Legacy users expecting specific domain tools (like conf_ls_spaces), but v3.0 migrated to generic HTTP method tools.
  • Users who want the standard-OAuth, zero-JSON-config install with active official support — Notion recommends its newer remote Notion MCP server for that
  • Users uncomfortable handing a Notion integration token to a locally-run LLM client
  • Use cases needing capabilities the integration deliberately excludes, such as deleting databases
  • Long-term production deployments that need guaranteed maintenance, given this repo may be sunset
Required permissions
  • Requires an Atlassian account with access to Confluence and the spaces you want to query.
  • Requires an API token (permissions granted automatically upon creation).
  • The server uses your own credentials and runs locally.
  • A Notion internal integration token (NOTION_TOKEN or the Authorization value in OPENAPI_MCP_HEADERS), scoped by that integration's Capabilities (can be limited to read-only)
  • Access limited to the specific pages/databases explicitly connected to the integration, not the whole workspace
  • A separate bearer auth token when using the Streamable HTTP transport (--auth-token / AUTH_TOKEN)
  • Network access to the Notion API
Risks and side effects
  • Token leakage risk: If your API token is compromised, others may access your Confluence data. Store it securely.
  • Data access scope: AI assistants can read and modify all content you have permission to access, including create, update, delete.
  • Large responses can lead to high token costs: always use jq filtering and limit parameters to avoid unexpected costs.
  • Response truncation: Responses exceeding ~40,000 characters are truncated, and the full raw data is saved to a temporary file.
  • If the integration is granted broad read/write capabilities and connected to many pages, that content is effectively exposed to the LLM, risking data leakage or unintended edits
  • Running with --unsafe-disable-auth removes bearer authentication on the HTTP transport, potentially making it reachable via DNS rebinding from pages a user visits — the README says to only use it on an isolated network
  • Multi-tenant token passthrough requires careful TLS/gateway configuration; misconfiguration risks leaking or misrouting Notion tokens between tenants
  • The README states this local server may be sunset in favor of the remote Notion MCP, and that issues/PRs here are not actively monitored, so long-term maintenance and security fixes are not guaranteed
  • Storing NOTION_TOKEN or OPENAPI_MCP_HEADERS directly in shared client config files risks leaking the secret
Supported clientsClaude Desktop, Cursor AI, ContinueClaude Desktop, Cursor, Zed, GitHub Copilot CLI
Tools59