Team Relay MCP
Team Relayのコラボレーションサーバーを介してObsidianボールトのノートを読み取り、検索、書き込みできます。共有フォルダとリアルタイム同期をサポートしています。
ドキュメント
EVC Team Relay - MCP Server
Give your AI agent read/write access to your Obsidian vault.
Your agent reads your notes, creates new ones, and stays in sync — all through the Team Relay API.
Works with Claude Code, Codex CLI, OpenCode, and any MCP-compatible client.
Quick Start
1. Install
Option A — from PyPI (recommended):
No installation needed — uvx downloads and runs automatically. Skip to step 2.
Option B — from source:
git clone https://github.com/entire-vc/evc-team-relay-mcp.git
cd evc-team-relay-mcp
uv sync # or: pip install .
2. Configure your AI tool
Add the MCP server to your tool's config. Choose one authentication method:
Agent key (recommended) — create a key in the Obsidian plugin → Team Relay settings → Agent Keys. Supports read and write: list_files, read_file, tr_search, and upsert_file all work with a single key. Quickstart →
Email + password — use a dedicated agent account on your Relay instance.
Claude Code — agent key
Add to .mcp.json in your project root or ~/.claude/.mcp.json:
{
"mcpServers": {
"evc-relay": {
"command": "uvx",
"args": ["evc-team-relay-mcp"],
"env": {
"RELAY_CP_URL": "https://cp.yourdomain.com",
"RELAY_AGENT_KEY": "tr_agent_your_key_here"
}
}
}
}
Claude Code — email/password
{
"mcpServers": {
"evc-relay": {
"command": "uvx",
"args": ["evc-team-relay-mcp"],
"env": {
"RELAY_CP_URL": "https://cp.yourdomain.com",
"RELAY_EMAIL": "agent@yourdomain.com",
"RELAY_PASSWORD": "your-password"
}
}
}
}
Codex CLI
Add to your codex.json:
{
"mcp_servers": {
"evc-relay": {
"type": "stdio",
"command": "uvx",
"args": ["evc-team-relay-mcp"],
"env": {
"RELAY_CP_URL": "https://cp.yourdomain.com",
"RELAY_AGENT_KEY": "tr_agent_your_key_here"
}
}
}
}
OpenCode
Add to opencode.json:
{
"mcpServers": {
"evc-relay": {
"command": "uvx",
"args": ["evc-team-relay-mcp"],
"env": {
"RELAY_CP_URL": "https://cp.yourdomain.com",
"RELAY_AGENT_KEY": "tr_agent_your_key_here"
}
}
}
}
From source (all tools)
If you installed from source instead of PyPI, replace "command": "uvx" / "args": ["evc-team-relay-mcp"] with:
"command": "uv",
"args": ["run", "--directory", "/path/to/evc-team-relay-mcp", "relay_mcp.py"]
Environment variables:
| Variable | Required | Description |
|---|---|---|
RELAY_CP_URL | Yes | Control plane base URL |
RELAY_AGENT_KEY | One of | Agent key from plugin settings — read + write (recommended) |
RELAY_EMAIL | One of | Account email (email/password mode) |
RELAY_PASSWORD | One of | Account password (email/password mode) |
Ready-to-copy config templates are also in config/.
3. Use it
Your AI agent now has these tools:
| Tool | Description |
|---|---|
authenticate | Authenticate with credentials (auto-managed) |
list_shares | List accessible shares (filter by kind, ownership) |
list_files | List files in a folder share |
read_file | Read a file by path from a folder share |
read_document | Read document by doc_id (low-level) |
upsert_file | Create or update a file by path |
write_document | Write to a document by doc_id |
delete_file | Delete a file from a folder share |
Typical workflow: list_shares -> list_files -> read_file / upsert_file
Authentication is automatic — the server logs in and refreshes tokens internally.
Remote Deployment (HTTP Transport)
For shared or server-side deployments, run as an HTTP server:
# Direct
uv run relay_mcp.py --transport http --port 8888
# Docker (pulls from Docker Hub automatically)
RELAY_CP_URL=https://cp.yourdomain.com \
RELAY_EMAIL=agent@yourdomain.com \
RELAY_PASSWORD=your-password \
docker compose up -d
# Or pull explicitly
docker pull deadalusevc/evc-team-relay-mcp:latest
By default the server binds to 127.0.0.1 (localhost-only) — the endpoint is not
reachable over the network even if the host has a public IP. This matches the common
case of a single MCP client on the same machine as the server.
Then configure your MCP client to connect via HTTP:
{
"mcpServers": {
"evc-relay": {
"type": "streamable-http",
"url": "http://127.0.0.1:8888/mcp"
}
}
}
Remote access via SSH tunnel (recommended)
If your MCP client runs on a different machine than the server, tunnel to the localhost-bound port instead of exposing it publicly:
# From the client machine, forward local 8888 to the server's localhost:8888
ssh -N -L 8888:127.0.0.1:8888 user@your-server
Then point the client config at http://127.0.0.1:8888/mcp as above — traffic
goes through the SSH tunnel, and the server's bind address never needs to change.
Public / reverse-proxy binding (opt-in)
If you genuinely need the server to accept connections from other hosts directly
(e.g. it sits behind a reverse proxy that terminates TLS and handles auth), pass
--host explicitly:
uv run relay_mcp.py --transport http --port 8888 --host 0.0.0.0
Only do this behind a reverse proxy or firewall — the MCP HTTP endpoint itself
has no built-in authentication, so binding it to 0.0.0.0 on an open network
exposes every relay tool call to anyone who can reach the port.
Security
The MCP server provides significant security advantages over shell-based integrations:
- No shell execution — all operations are Python function calls via JSON-RPC, eliminating command injection risks
- No CLI arguments — credentials and tokens are never passed as process arguments (invisible in
psoutput) - Automatic token management — the server handles login, JWT refresh, and token lifecycle internally; the agent never touches raw tokens
- Typed inputs — all parameters are validated against JSON Schema before execution
- Single persistent process — no per-call shell spawning, no environment leakage between invocations
Note: If you're using the OpenClaw skill (bash scripts), consider migrating to this MCP server for a more secure and maintainable integration.
How It Works
┌─────────────┐ MCP ┌──────────────┐ REST API ┌──────────────┐ Yjs CRDT ┌──────────────┐
│ AI Agent │ ◄────────────► │ MCP Server │ ◄─────────────► │ Team Relay │ ◄──────────────► │ Obsidian │
│ (any tool) │ stdio / HTTP │ (this repo) │ read/write │ Server │ real-time │ Client │
└─────────────┘ └──────────────┘ └──────────────┘ sync └──────────────┘
The MCP server wraps Team Relay's REST API into standard MCP tools. Team Relay stores documents as Yjs CRDTs and syncs them to Obsidian clients in real-time. Changes made by the agent appear in Obsidian instantly — and vice versa.
Prerequisites
- Python 3.10+ with uv (recommended) or pip
- A running EVC Team Relay instance (self-hosted or hosted)
- A user account on the Relay control plane
Part of the Entire VC Toolbox
| Product | What it does | Link |
|---|---|---|
| Team Relay | Self-hosted collaboration server | repo |
| Team Relay Plugin | Obsidian plugin for Team Relay | repo |
| Relay MCP | MCP server for AI agents | this repo |
| OpenClaw Skill | OpenClaw agent skill (bash) | repo |
| Local Sync | Vault <-> AI dev tools sync | repo |
| Spark MCP | MCP server for AI workflow catalog | repo |
Community
License
MIT