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
基本信息
MCP server for reading and writing Obsidian vault documents via EVC Team Relay
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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