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  3. Big Brain
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 9:47:22 PM

Big Brain

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
knowledge-managementmarkdownobsidiantasksmemory

Connects AI assistants to a plain-Markdown vault for notes, projects, tasks, search, links, and daily work logs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "big-brain": {
      "command": "npx",
      "args": [
        "-y",
        "@jzhao234/big-brain"
      ],
      "env": {
        "BIG_BRAIN_VAULT": "YOUR_VALUE_HERE",
        "BIG_BRAIN_MCP_TOKEN": "YOUR_VALUE_HERE",
        "BIG_BRAIN_MCP_ALLOWED_ORIGINS": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (12) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

Big Brain MCP server connects MCP-compatible AI assistants to a local folder of plain-Markdown notes, including existing Obsidian vaults. It exposes tools for orientation, full-text search, note reading and writing, task management, project tracking, captures, daily notes, links, related content, and vault checks. Run it over stdio for local clients, or use its authenticated Streamable HTTP preview when a remote transport is needed. Reach for it when you want shared, file-based memory that remains readable and editable outside an AI application.

Use cases

β€’Search a Markdown vault for notes by text, tag, folder, or status
β€’Capture ideas and tasks into an inbox while working with an AI assistant
β€’Review active projects, overdue tasks, recent notes, and daily work logs
β€’Maintain project tasks and metadata across multiple MCP-compatible clients
β€’Inspect links, related notes, tags, and common vault health problems

Key features

β€’Plain-Markdown vault storage
β€’Full-text and optional local semantic search
β€’Note, project, task, and daily-note tools
β€’Wiki-link, backlink, and related-note analysis
β€’Atomic note writes with path and content safeguards
β€’Stdio transport and authenticated Streamable HTTP preview

Capabilities & Tool Schemas (12) ~208 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Big Brain.

brain_overview

Orient: active projects, due/overdue tasks, inbox, recent notes

search_notes

Full-text search with type/tag/folder/status filters

read_note

Read by path, title, or alias; browse by folder/type/tag

create_note

Write notes (append is the safe default)

update_frontmatter

Metadata changes; non-destructive delete

capture

Quick capture to inbox

How Big Brain works

What Big Brain MCP server does

Big Brain MCP server gives an AI assistant structured access to a folder of Markdown files used as a personal knowledge base. The vault can contain notes, projects, tasks, inbox captures, daily journals, tags, frontmatter, and wiki-style links. It can use a new directory or read an existing Obsidian vault without migration.

The server exposes tools for inspecting current work, finding notes, reading and creating content, updating metadata, recording quick captures, and maintaining tasks and projects. It can also report outgoing links and backlinks, identify related notes, list tags, and surface vault issues such as broken links, malformed frontmatter, stale projects, duplicate or oversized notes, and overdue tasks.

How it works

The server reads and writes Markdown directly rather than using a separate database. Deterministic retrieval includes fuzzy full-text matching, title weighting, tags, frontmatter filters, and wiki-link relationships. Optional local embeddings add semantic matches and support related-note results; this requires the separate Transformers package and keeps processing on the device.

Local MCP clients connect through the stdio command big-brain-mcp. The vault is selected with a command-line option or the BIG_BRAIN_VAULT environment variable. A separate command can expose the same tools through Streamable HTTP on localhost, using a bearer token and optional origin restrictions. The HTTP preview should be placed behind an HTTPS reverse proxy or secure tunnel rather than exposed directly.

Writes are designed to avoid damaging existing files: note changes are atomic and locked per note, preserve line endings, avoid code blocks and frontmatter, and reject paths that resolve outside the vault. Optional Git settings can commit changed files and push them in the background; Git failures do not prevent a note save.

Setup and configuration

Node.js 20 or newer is required. Install the package globally with npm, then initialize a vault or point the server at an existing Markdown directory. The setup command can create a default vault, connect Claude Code and Codex when available, install related skills, and print configuration for other clients. It is safe to rerun, and a dry-run option shows intended changes first.

For manual setup, install the package, initialize the vault, and register big-brain-mcp in the client’s MCP configuration with an absolute executable path. Add --vault with the vault location, or configure BIG_BRAIN_VAULT. Folder mappings can be placed in brain.config.json; this lets project and inbox operations use folder names that differ from the defaults.

Semantic search is not included in the base installation. Enable it in configuration and install @huggingface/transformers in the same global installation location. Git auto-commit and auto-push are also opt-in configuration features.

Tools and capabilities

The available tool set covers:

  • brain_overview for active projects, due or overdue tasks, inbox items, and recent notes.
  • search_notes and read_note for filtered discovery and reading by path, title, alias, folder, type, or tag.
  • create_note, update_frontmatter, and capture for writing notes, changing metadata, and adding inbox items.
  • daily_note for daily entries and timestamped work journals.
  • list_projects, list_tasks, and update_task for project and checkbox-task workflows.
  • note_links and related_notes for graph and similarity-based navigation.
  • list_tags for tag counts and vault-health findings.

Limitations and notes

Big Brain is pre-1.0, so minor releases may change behavior. The remote HTTP mode uses a static bearer token rather than OAuth, which means browser connectors requiring OAuth need a separate OAuth-capable gateway. Browser access through a GitHub connector can expose the raw Markdown, but may be read-only and does not provide the computed overview, search, or task tools. The project also documents edge cases that its safe-write protections do not cover.

Read the full README β†’View source on GitHub β†’

Related MCP Servers

View all in Knowledge & Memory View all alternatives
  • MCP Obsidian logoMCP Obsidian

    Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.

    🧠 Knowledge & Memory5 views
    Compare vs MCP Obsidian β†’
  • Basic Memory logoBasic Memory

    Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.

    🧠 Knowledge & Memory2 views
    Compare vs Basic Memory β†’
  • Obsidian Codex MCP logoObsidian Codex MCP

    Local-first Obsidian vault MCP server for Codex, Claude Desktop, and other MCP clients. Works directly with markdown files, no Obsidian plugin, API key, cloud service, or running Obsidian app required. Includes read-only mode, backup-on-write, path isolation, and setup examples.

    🧠 Knowledge & Memory2 views
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  • Moxie Docs MCP logoMoxie Docs MCP
    β˜… Featured

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
Today
Most recent push to the default branch.
Tools exposed
12
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Big Brain

Big Brain is an MCP server that connects AI assistants to a local plain-Markdown vault, including an Obsidian vault. Its main tools cover overview, note search and reading, note creation, captures, daily notes, projects, tasks, links, related notes, tags, and vault health checks.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Code, Claude Desktop, Cursor, OpenAI Codex CLI
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commitToday
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 14, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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