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@wirux/mcp-markdown-vault

v1.8.2

Published

Headless semantic MCP server for Obsidian, Logseq, Dendron and any markdown-based knowledge base

Downloads

2,008

Readme

📁 Markdown Vault MCP Server

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any folder of markdown files.

npm install and point it at a folder. Hybrid search, AST editing, zero-config embeddings. No app, no plugins, no API keys.

CI / Release PR Check npm version Docker License: MIT TypeScript Node.js Tests mcp-markdown-vault MCP server

Markdown Vault MCP Server Demo


💡 Why this server?

TL;DR — One npx command. No running app. No plugins. No vector DB. Semantic search works out of the box.

| | Differentiator | Details | |---|---|---| | 🚫 | No app or plugins required | Most Obsidian MCP servers (mcp-obsidian, obsidian-mcp-server) need Obsidian running with the Local REST API plugin. This server reads and writes .md files directly — point it at a folder and go. | | 🧠 | Built-in semantic search, zero setup | Hybrid search: cosine-similarity vectors + TF-IDF + word proximity. Local embeddings (@huggingface/transformers, all-MiniLM-L6-v2, 384d) download on first run. No API keys, no external services. Ollama optional for higher quality. | | 🔬 | Surgical AST-based editing | remark AST pipeline patches specific headings or block IDs without touching the rest of the file. Freeform line-range & string replace as fallback. Levenshtein fuzzy matching handles LLM typos. | | 🔓 | Tool-agnostic | Obsidian vaults, Logseq graphs, Dendron workspaces, Foam, or any plain folder of .md files. If it's markdown, it works. | | 📦 | Single package, no infrastructure | Unlike Python alternatives that need ChromaDB or other vector stores, everything runs in one Node.js process. npx @wirux/mcp-markdown-vault and you're running. Docker image available. |

💎 Obsidian · 📓 Logseq · 🌳 Dendron · 🫧 Foam · 📂 Any .md folder


✨ Features

| | Feature | Description | |---|---|---| | 🗂️ | Headless vault ops | Read, create, update, edit, delete .md notes with strict path traversal protection | | 📑 | Read by heading | Read a single section by heading title — returns only content under that heading (up to the next same-level heading), saving context window space | | 📦 | Bulk read | Read multiple files and/or heading-scoped sections in a single call — reduces MCP round-trips with per-item fault tolerance | | 🔬 | Surgical editing | AST-based patching targets specific headings or block IDs — never overwrites the whole file | | 🔍 | Fragment retrieval | Heading-aware chunking + TF-IDF + proximity scoring returns only relevant sections | | 📂 | Scoped search | Optional directory filter for global_search and semantic_search — restrict results to specific folders to reduce noise | | 🧠 | Semantic search | Hybrid vector + lexical search with background auto-indexing | | ⚡ | Zero-setup embeddings | Built-in local embeddings via @huggingface/transformers — Ollama optional | | 🔄 | Workflow tracking | Petri net state machine with contextual LLM hints | | 🌐 | Dual transport | Stdio (single client) or SSE over HTTP (multi-client, Docker-friendly) | | ✏️ | Freeform editing | Line-range replacement and string find/replace as AST fallback | | 🏷️ | Frontmatter management | AST-based read and update of YAML frontmatter — safely manage tags, statuses, and metadata without corrupting file structure | | 👀 | Dry-run / diff preview | Preview any edit operation as a unified diff without saving — set dryRun=true on any edit action | | 📝 | Templating / scaffolding | Create new notes from template files with {{variable}} placeholder injection — refuses to overwrite existing files | | 🗺️ | Vault overview | Structural map of the vault — total file count, recursive folder tree with file counts and last modification dates per folder | | 📦 | Batch edit | Apply multiple edit operations in a single call — sequential execution, stops on first error, supports dryRun, max 50 ops | | 🔗 | Backlinks index | Find all notes linking to a given path — supports wikilinks and markdown links with line numbers and context snippets | | 🎯 | Typo resilience | Levenshtein-based fuzzy matching for edit operations |


🛠️ MCP Tools

| Tool | Actions | Description | |---|---|---| | 📁 vault | list read create update delete stat create_from_template | Full CRUD for vault notes + template scaffolding | | ✏️ edit | append prepend replace line_replace string_replace frontmatter_set batch | AST-based patching + freeform fallback + frontmatter update + batch edit (supports dryRun diff preview) | | 👁️ view | search global_search semantic_search outline read frontmatter_get bulk_read backlinks | Fragment retrieval, cross-vault search, hybrid semantic search, read by heading, frontmatter read, bulk read, backlinks | | 🔄 workflow | status transition history reset | Petri net state machine control | | ⚙️ system | status reindex overview | Server health, indexing info, vault structure overview |

All tool responses include contextual hints based on the current workflow state.


🚀 Quick Start

Prerequisites

📦 Install from NPM

npm install -g @wirux/mcp-markdown-vault

Then run directly:

VAULT_PATH=/path/to/your/vault markdown-vault-mcp

🔌 MCP Client Configuration

Add to your MCP client config (e.g. Claude Desktop, Claude Code):

{
  "mcpServers": {
    "markdown-vault": {
      "command": "npx",
      "args": ["-y", "@wirux/mcp-markdown-vault"],
      "env": {
        "VAULT_PATH": "/path/to/your/vault"
      }
    }
  }
}

npx -y auto-installs the package if not already present — no global install needed.

Try it in the browser: You can test this server directly at Glama Inspector — no local install required.

🐳 Docker

Pull the pre-built multi-arch image from GitHub Container Registry:

docker pull ghcr.io/wirux/mcp-markdown-vault:latest

Or use Docker Compose:

docker compose up

Edit docker-compose.yml to point at your markdown vault directory. The default compose file uses SSE transport on port 3000.

🛠️ Development (from source)

git clone https://github.com/Wirux/mcp-obsidian.git
cd mcp-obsidian
npm install
npm run build
VAULT_PATH=/path/to/your/vault node dist/index.js

🌐 Transport Modes

| Mode | Use case | How it works | |---|---|---| | 📡 stdio (default) | Single-client desktop apps (Claude Desktop) | Reads/writes stdin/stdout; 1:1 connection | | 🌊 sse | Multi-client setups (Docker, Claude Code) | HTTP server with SSE streams; one connection per client |

SSE starts an HTTP server on PORT (default 3000):

  • GET /sse — establishes an SSE stream (one per client)
  • POST /messages?sessionId=... — receives JSON-RPC messages
MCP_TRANSPORT_TYPE=sse PORT=3000 VAULT_PATH=/path/to/vault npx @wirux/mcp-markdown-vault

Each SSE client gets its own workflow state. Shared resources (vault, vector index, embedder) are reused across all connections.


🧠 Embedding Providers

The server selects an embedding provider automatically:

| OLLAMA_URL set? | Ollama reachable? | Provider used | |---|---|---| | ❌ No | — | 🏠 Local (@huggingface/transformers, all-MiniLM-L6-v2, 384d) | | ✅ Yes | ✅ Yes | 🦙 Ollama (nomic-embed-text, 768d) | | ✅ Yes | ❌ No | 🏠 Local (fallback with warning) |

No configuration needed for local embeddings — the model downloads on first use and is cached automatically.


⚙️ Configuration

| Variable | Default | Description | |---|---|---| | VAULT_PATH | /vault | Markdown vault directory | | MCP_TRANSPORT_TYPE | stdio | stdio (single client) or sse (multi-client HTTP) | | PORT | 3000 | HTTP port (SSE mode only) | | OLLAMA_URL | (unset) | Set to enable Ollama embeddings | | OLLAMA_MODEL | nomic-embed-text | Ollama embedding model name | | OLLAMA_DIMENSIONS | 768 | Ollama embedding vector dimensions | | VECTOR_STORE_URL | (unset) | Set to use Qdrant (e.g. http://localhost:6333). If unset, local persisted flat store is used. | | VECTOR_STORE_RESET | false | Set to true to auto-delete a mismatched vector index on startup and rebuild from scratch. |

Note: When using the default local vector store, a .markdown_vault_mcp directory will be created in your vault. It's recommended to add this directory to your .gitignore.


🏗️ Architecture

Clean Architecture with strict layer separation:

src/
├── domain/           🔷 Errors, interfaces (ports), value objects
├── use-cases/        🔶 Business logic (AST, chunking, search, workflow)
├── infrastructure/   🟢 Adapters (file system, Ollama, vector store)
└── presentation/     🟣 MCP tool bindings, transport layer (stdio/SSE)

See CLAUDE.md for detailed architecture docs and CHANGELOG.md for implementation history.


🚢 CI/CD & Release

Fully automated via GitHub Actions and Semantic Release:

| Workflow | Trigger | What it does | |---|---|---| | PR Check | Pull request to main | Lint → Build → Test | | Release | Push to main | Lint → Test → Semantic Release (NPM + GitHub Release) → Docker build & push to ghcr.io |


🧪 Testing

318 tests across 31 files, written test-first (TDD).

npm test                                          # Run all tests
npx vitest run src/use-cases/ast-patcher.test.ts  # Single file
npm run test:watch                                # Watch mode
npm run test:coverage                             # Coverage report

Tests use real temp directories for file system operations and in-memory MCP transport for integration tests. No external services required.


🔒 Security

  • 🛡️ All file paths validated through SafePath value object before any I/O
  • 🚫 Blocks path traversal: ../, URL-encoded (%2e%2e), double-encoded (%252e), backslash, null bytes
  • ✍️ Atomic file writes (temp file + rename) prevent partial writes
  • 👤 Docker container runs as non-root user

📄 License

MIT