"A comparison or overview of Obsidian and Logseq" matching MCP servers:

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables external AI assistants to interact with Logseq graphs through 34 specialized tools for managing pages, blocks, journals, and tasks via the local HTTP API.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Connects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.

Enables AI assistants to interact with your local Logseq knowledge base through advanced search, content creation, template management, and knowledge organization with privacy-first, local-only operations.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

Supply chain risk scoring for npm, PyPI, and GitHub repos

MCP server for comparing Commvault release versions, retrieving categorized changes, and generating release summaries to support upgrade planning.

A Model Context Protocol server that enables AI assistants to read, write, and manipulate notes in your Obsidian vault through a standardized interface.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Enables AI agents to manage Obsidian vaults through full CRUD operations, wikilink management, and section-level manipulation. It supports frontmatter editing, tag-based searching, and automated link updates to maintain vault integrity.

Enables AI assistants to interact with Obsidian vaults, providing tools for reading, creating, editing and managing notes and tags.

A server implementation that allows AI assistants to read, create, and manipulate notes in Obsidian vaults through the Model Context Protocol.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Generates Word documents for comparison tables and specifications from structured JSON data. Supports both stdio mode for Claude Desktop/Code and HTTP mode for AI frameworks like Dify and LangFlow.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

Lets coding agents search the official Obsidian directory of 8,900+ community plugins and 870+ themes, with download counts, latest versions and last-update dates, so they can check what already exists or spot gaps before writing code. It also works for picking a plugin or theme to install, needs no API key, and only reads public data.

Provides AI coding assistants persistent engineering memory stored as Markdown files in an Obsidian vault, enabling project context retrieval, session capture, decision recording, and memory search without requiring Obsidian to be running.