What prerequisites are needed?
Python 3.10+ with `uv` (recommended) or pip, a running EVC Team Relay instance, and a user account on the relay control plane.
@entire-vc
基本情報
MCP server for reading and writing Obsidian vault documents via EVC Team Relay
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"evc-team-relay": {
"command": "uvx",
"args": [
"evc-team-relay-mcp"
],
"env": {
"EVC_RELAY_URL": "https://your-relay.example.com",
"EVC_RELAY_TOKEN": "your-token",
"EVC_RELAY_SHARE": "your-share-id"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
EVC Team Relay MCP gives AI agents read/write access to an Obsidian vault through the Team Relay API. It works with Claude Code, Codex CLI, OpenCode, and any MCP‑compatible client.
Install via uvx (recommended) or from source. Configure your AI tool’s MCP settings with a relay URL (RELAY_CP_URL) and either an agent key (RELAY_AGENT_KEY) or email/password. The server automatically authenticates and refreshes tokens. Once connected, agents can browse shares, list files, read, write, and delete files.
Python 3.10+ with `uv` (recommended) or pip, a running EVC Team Relay instance, and a user account on the relay control plane.
Use an agent key (recommended, supports read and write) or an email/password pair. Set `RELAY_AGENT_KEY` or `RELAY_EMAIL`/`RELAY_PASSWORD` in environment variables.
Stdio (default when using `uvx`) and `streamable-http` for remote deployment. HTTP mode requires running `relay_mcp.py --transport http --port 8888` or using Docker Compose.
Data resides in the Obsidian vault. Team Relay stores documents as Yjs CRDTs and syncs them to Obsidian clients in real time. The MCP server reads and writes via Team Relay’s REST API.
No CLI arguments; credentials are passed as environment variables. No shell execution – all calls are typed JSON‑RPC. Token lifecycle is managed internally; the agent never touches raw tokens.
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