Logseq MCP Tools

Enables AI agents to interact with local Logseq instances via Model Context Protocol, providing comprehensive tools to manage pages, blocks, and journal entries for seamless knowledge graph integration and automation.

Enables AI models to seamlessly interact with Notion workspaces via the official SDK, offering comprehensive tools for searching, managing pages, databases, blocks, users, comments, and link previews through the Model Context Protocol.

Enables Large Language Models to seamlessly access comprehensive SEO data and tools through Model Context Protocol, including keyword research, backlink analysis, SERP insights, content evaluation, and local ranking via integrated APIs.

Model Context Protocol server enabling AI agents to seamlessly interact with Atlassian products like Confluence and Jira by providing tools for searching, retrieving, and managing content, issues, projects, and spaces through a standardized API.

Enables Large Language Models to interact with Astra DB through Model Context Protocol, providing tools for managing collections and records, executing bulk operations, and seamless integration with MCP clients.