Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
mcpb https://github.com/bjenkinsgit/psyxe-mcp/releases/download/v0.1.10/psyxe-mcp-0.1.10-arm64-apple-darwin.mcpbClaude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add bjenkinsgit-psyxe-mcp -- mcpb https://github.com/bjenkinsgit/psyxe-mcp/releases/download/v0.1.10/psyxe-mcp-0.1.10-arm64-apple-darwin.mcpbรันในเทอร์มินัล
{ "mcpServers": { "bjenkinsgit-psyxe-mcp": { "command": "mcpb", "args": [ "https://github.com/bjenkinsgit/psyxe-mcp/releases/download/v0.1.10/psyxe-mcp-0.1.10-arm64-apple-darwin.mcpb" ] } }}claude_desktop_config.json
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รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
An MCP server that gives AI assistants access to your Apple Notes, Reminders, and Contacts — with optional BERT-powered semantic search.
All tools run locally via macOS-native APIs (AppleScript, EventKit, Contacts framework). No data leaves your Mac. No API keys required.
New to MCP? Check out the for answers to common questions about what this is, whether it works with your setup, and how your data stays private.
Apple ecosystem MCP server for Claude Code, Cursor, and other AI assistants — Notes, Reminders, Contacts with BERT semantic search
 | Apple Notes & Semantic Search — Connect your AI to Apple Notes with BERT-powered semantic search |
 | Apple Contacts — Search, create, and manage contacts from your AI assistant |
 | Apple Reminders — Full CRUD for reminders and lists via any MCP client |
 | Access Control — Configure exactly which data your AI can access |
brew tap bjenkinsgit/tap
brew install psyxe-mcp
This installs everything — binary, Swift helpers, FFmpeg, and the BERT model. No compilation required.
git clone https://github.com/bjenkinsgit/psyxe-mcp.git
cd psyxe-mcp
./build.sh
The build script handles everything automatically:
Build without semantic search (skips FFmpeg and BERT):
./build.sh --no-memvid
Requirements: macOS 12+ (Monterey or later). Xcode Command Line Tools will be prompted if not installed.
The binary and helpers are in target/release/. Use the full path when configuring your MCP client.
Two shortcuts enable linking Reminders to file artifacts:
./install-shortcuts.sh
This opens each shortcut in Shortcuts.app for you to approve.
If you installed via Homebrew, the command is just psyxe-mcp (it's in your PATH). If you built from source, use the full path: /Users/yourname/src/psyxe-mcp/target/release/psyxe-mcp.
claude mcp add psyxe -- psyxe-mcp
Or edit ~/.claude/claude_mcp_config.json:
{
"mcpServers": {
"psyxe": {
"command": "psyxe-mcp"
}
}
}
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"psyxe": {
"command": "psyxe-mcp"
}
}
}
Open Settings → MCP Servers → Add new server:
{
"psyxe": {
"command": "psyxe-mcp"
}
}
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"psyxe": {
"command": "psyxe-mcp"
}
}
}
Edit ~/.codex/config.toml:
[mcp_servers.psyxe]
command = "psyxe-mcp"
Note: If you built from source instead of using Homebrew, replace
psyxe-mcpwith the full path to the binary (e.g.,/Users/yourname/src/psyxe-mcp/target/release/psyxe-mcp).
By default, the MCP server has full access to all your Notes, Reminders, Contacts, and files. To restrict what your AI can see, use the built-in access control CLI to create and manage ~/.psyxe/access.toml.
No manual file editing is needed — the CLI creates the file with secure permissions (owner-only read/write) on first use.
# 1. See what's available
psyxe-mcp access discover reminders
psyxe-mcp access discover notes
# 2. Grant access to only what the AI should see
psyxe-mcp access grant reminders "Work"
psyxe-mcp access grant notes "Projects"
# 3. Verify your restrictions
psyxe-mcp access list
Once any rule is set for a category, only explicitly granted resources are accessible — everything else in that category is denied.
# See your reminder lists
psyxe-mcp access discover reminders
# See your contact groups
psyxe-mcp access discover contacts
# See your note folders
psyxe-mcp access discover notes
# See common file locations
psyxe-mcp access discover files
# Only allow access to specific reminder lists
psyxe-mcp access grant reminders "Work"
psyxe-mcp access grant reminders "Shopping" --rw # read-write
# Only allow access to a specific contact group
psyxe-mcp access grant contacts "iCloud"
# Only allow access to specific note folders
psyxe-mcp access grant notes "Projects"
# Grant file access to a folder
psyxe-mcp access grant files "/Users/you/Documents" --rw
# Revoke access
psyxe-mcp access revoke reminders "Shopping"
# See current restrictions
psyxe-mcp access list
# Remove all restrictions (restore full access)
psyxe-mcp access reset
Access rules are stored in ~/.psyxe/access.toml with owner-only permissions (chmod 600). The server refuses to load the config if it is group- or world-readable, preventing other processes from tampering with access rights.
When built with the memvid feature (enabled by default), the server includes BERT-powered semantic search for Apple Notes. This uses memvid-rs to encode your notes into a searchable vector index.
The first time you (or your AI assistant) run a semantic search, the server will build an index of all your notes. This takes a few minutes depending on how many notes you have. Subsequent searches are instant.
# Or ask your AI assistant: "search my notes for machine learning concepts"
# It will automatically build the index on first use.
We've included sample notes designed to showcase semantic search:
# Load 10 sample notes into Apple Notes
./examples/load-sample-notes.sh
# Then ask your AI assistant to rebuild the index and try queries like:
# "retirement savings" → finds Tax Strategy (never mentions "retirement")
# "Italian cooking" → finds Carbonara recipe (never says "Italian")
See examples/sample-notes.md for the full list of demo queries.
The default model (sentence-transformers/all-MiniLM-L6-v2, 384 dimensions) balances speed and quality. You can swap in any HuggingFace BERT-family sentence-transformer model.
Via environment variable:
MEMVID_MODEL_NAME=BAAI/bge-small-en-v1.5 target/release/psyxe-mcp warmup
Via config file — create memvid_config.toml in the repo root or next to the binary:
[ml]
model_name = "BAAI/bge-small-en-v1.5"
After changing models, rebuild the index (ask your AI assistant or run warmup again).
Popular alternatives:
For instruction-tuned models (like BGE), add query/document prefixes:
[ml]
model_name = "BAAI/bge-small-en-v1.5"
embedding_query_prefix = "Represent this sentence for searching relevant passages: "
embedding_document_prefix = ""
Use any OpenAI-compatible embedding endpoint instead of local BERT:
[ml]
embedding_provider = "remote"
Then set the endpoint via environment variables:
export EMBEDDING_API_URL="http://localhost:11434/v1/embeddings" # Ollama
export EMBEDDING_API_MODEL="nomic-embed-text"
Works with OpenAI, Ollama, vLLM, LM Studio, or any OpenAI-compatible endpoint.
Build without memvid to skip the FFmpeg/BERT dependency entirely (no brew install needed):
cargo build --release --no-default-features
Notes tools still work — they fall back to AppleScript-based text search. All other tools (Reminders, Contacts, Files) are unaffected.
On first use, macOS will prompt you to grant permission for:
Approve these in the dialog that appears. You can review/revoke them later in System Settings → Privacy & Security.
┌─────────────────┐ stdio (JSON-RPC) ┌──────────────┐
│ Claude Code / │ ◄─────────────────────► │ psyxe-mcp │
│ Claude Desktop │ │ (MCP server) │
└─────────────────┘ └──────┬───────┘
│
┌────────────────┼────────────────┐
▼ ▼ ▼
┌────────────┐ ┌─────────────┐ ┌───────────┐
│ AppleScript │ │ Swift Helper│ │ memvid │
│ (Notes) │ │ (EventKit, │ │ (BERT + │
│ │ │ Contacts) │ │ ProRes) │
└──────┬──────┘ └──────┬──────┘ └─────┬─────┘
▼ ▼ ▼
┌────────────┐ ┌─────────────┐ ┌───────────┐
│ Notes.app │ │ EventKit │ │ NoteStore │
│ │ │ Contacts │ │ SQLite │
└────────────┘ └─────────────┘ └───────────┘
The MCP server is a thin stdio bridge. All the real work happens in psyxe-mcp-core, the open-source library that provides direct access to macOS-native APIs.
Place a memvid_config.toml in the working directory or next to the binary:
[chunking]
chunk_size = 700
overlap = 100
[ml]
device = "metal" # auto | cpu | cuda | metal
[qr]
error_correction = "low"
version = 40
[video]
codec = "prores_ks"
prores_profile = "proxy"
library_log_level = "error"
See memvid-rs for all configuration options.
"osascript is not allowed to send keystrokes" Grant Accessibility permission: System Settings → Privacy & Security → Accessibility
"reminders-helper" wants to access your Reminders Click Allow. If you previously denied, re-enable in System Settings → Privacy & Security → Reminders.
Semantic search is slow on first run The BERT model downloads on first use (~90MB). Subsequent runs use the cached model. Index building speed depends on note count — Metal GPU acceleration helps significantly on Apple Silicon.
Notes search returns stale results The server monitors for changes and will prompt your AI assistant to rebuild the index. You can also force it: ask your assistant to "rebuild the notes index".
Apache 2.0 — see LICENSE.
This project uses FFmpeg at runtime for ProRes video encoding only (LGPL codec). No GPL-licensed codecs (x264, x265, etc.) are used.
Built on psyxe-mcp-core, powered by memvid-rs for semantic search.
Apple ecosystem MCP server for Claude Code, Cursor, and other AI assistants — Notes, Reminders, Contacts with BERT semantic search
{ "mcpServers": { "bjenkinsgit-psyxe-mcp": { "command": "mcpb", "args": [ "https://github.com/bjenkinsgit/psyxe-mcp/releases/download/v0.1.10/psyxe-mcp-0.1.10-arm64-apple-darwin.mcpb" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Psyxe ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-05 Apple ecosystem MCP server for Claude Code, Cursor, and other AI assistants — Notes, Reminders, Contacts with BERT semantic search