Obsidian is a powerful knowledge base and note-taking application that works on top of a local folder of plain text Markdown files, emphasizing linking and connecting ideas to help build your personal knowledge management system.
Connects an existing Obsidian vault through a read-only link so its notes can be searched and cited from Wenlan, with on-demand refresh and no changes written back to the vault.
Local-first personal wiki and memory server for AI agents. MCP clients can capture knowledge, retrieve context, read and maintain source-backed wiki pages, and carry project context between sessions.
33
92
Apache 2.0
Why this server?
Works with Obsidian vaults as plain Markdown note stores, indexing notes and providing searchable context packs from the vault.
Enables AI agents and MCP clients to start each session with a pre-assembled context pack of the project's Markdown notes, decisions, rules, Git and tracker state, and to write progress and decisions back as dated logs. Context is gathered locally by lookups and queries rather than model calls, so different tools like Claude Code, Codex, and Antigravity share the same memory without spending tokens on retrieval.
The first cognitive memory server for AI assistants, providing persistent memory, knowledge graph, identity awareness, contradiction detection, and belief tracking across sessions.
38
88 npm
1
MIT
Why this server?
Uses Obsidian-native storage and export, generating Markdown knowledge docs with wiki-links and YAML frontmatter and building project knowledge graphs under agent-mem-output/.
Local stdio MCP server for persistent coding memory: recall project context, save sourced decisions and constraints, flag changed evidence, and resume private sessions with durable handoffs. Supports local storage and optional Markdown export to an Obsidian vault; Python 3.10+.
6
11
4
MIT
Why this server?
Exports the whole catalogue as a zip of Markdown files with front matter that Obsidian opens directly as a vault, preserving folders, notes and item metadata.
A local catalogue of the AI tools people share in group chats: search it, save links, vote out junk, and file items into your own folders. Works with any model or none.
2
15
4,670 npm
26
MIT
Why this server?
Provides integration with Obsidian vaults, enabling AI assistants to read and write notes within an Obsidian vault.
tdmcp is an open-source (MIT) Model Context Protocol server for TouchDesigner. You describe a visual in plain language and your AI assistant builds the real node network inside TouchDesigner, checks it for errors, and shows a preview — it ships an embedded operator knowledge base so the model uses real operators instead of guessing. TypeScript codebase, runs locally.
6
100
215 npm
57
MIT
Why this server?
Provides full access to an Obsidian vault, allowing AI agents to search, read, write, manage structured memory, query backlinks, and work with daily notes.
Standalone MCP server for Obsidian vaults - hybrid search (FTS5 + vector + cross-encoder reranking), images and PDFs in agent-readable form, Kanban-aware tasks (Tasks-plugin + Dataview formats), structured memory with topic recall, fine-grained read/write tools for optimal token efficiency, and link graph support. Run locally, self-host, or one-click deploy for remote access. OAuth 2.1.
10
33
115 npm
32
MIT
Why this server?
Can be run alongside an existing Obsidian vault as a governed memory layer, complementing current notes without replacing them.
Local, zero-dependency memory MCP for AI agents: agents stage, you promote, every entry has a receipt.
7
459 PyPI
4
Apache 2.0
Why this server?
Exports the Gnosys memory database into an Obsidian-compatible vault — atomic Markdown files with YAML frontmatter, [[wikilinks]], category summaries, and relationship graph data — so memories can be browsed and edited as a human-readable knowledge base.
Gnosys gives AI agents persistent, portable, shared memory across sessions and projects. It starts with 14 core MCP tools and can expand in-session to all 56, with 9 LLM providers, federated search, multimodal ingestion, a serverless Web Knowledge Base, process tracing, and Dream Mode consolidation.
