dendrite-admin-mcp

dendrite-admin-mcp

MCP server exposing Dendrite Matrix homeserver admin APIs as tools, enabling an LLM agent to manage users, rooms, registration tokens, send server notices, and more.

Category
访问服务器

README

dendrite-admin-mcp

An MCP (Model Context Protocol) server that exposes Dendrite's admin API as tools, so an LLM agent can administer a Dendrite Matrix homeserver: manage users, evacuate/purge rooms, send server notices, manage registration tokens, and more.

Setup

npm install
cp .env.example .env   # fill in DENDRITE_BASE_URL and DENDRITE_ADMIN_TOKEN
npm run build

Configuration

Env var Required Purpose
DENDRITE_BASE_URL yes Base URL of the homeserver's client-facing port, e.g. https://matrix.example.com
DENDRITE_ADMIN_TOKEN yes Access token of a Dendrite server admin user; sent as a Bearer token to all /_dendrite/admin and most /_synapse/admin endpoints
DENDRITE_REGISTRATION_SHARED_SECRET no registration_shared_secret from dendrite.yaml; only needed for the register_user tool, which authenticates via HMAC instead of the admin token

Transports

This server supports two MCP transports, selected via MCP_TRANSPORT:

  • stdio (default) — for a client that spawns this process directly (e.g. a local Claude Code / editor MCP config). No network exposure.
  • http — runs a stateless Streamable HTTP MCP server on MCP_HTTP_HOST:MCP_HTTP_PORT (default 0.0.0.0:3939), for remote clients over LAN/Tailscale. Requires MCP_AUTH_TOKEN; every request to /mcp must send Authorization: Bearer <token>. Generate one with openssl rand -hex 32.

Running

npm run build && npm start

For local development with auto-reload:

npm run dev

To poke at the tools interactively (stdio transport):

npm run inspector

Running with Docker

cp .env.example .env   # fill in DENDRITE_BASE_URL, DENDRITE_ADMIN_TOKEN,
                         # set MCP_TRANSPORT=http and MCP_AUTH_TOKEN
docker compose up -d --build

This builds the image, starts the container with restart: unless-stopped, and publishes port 3939. A /healthz endpoint (no auth required) backs the container healthcheck.

Tools

Tool Dendrite endpoint
evacuate_room POST /_dendrite/admin/evacuateRoom/{roomID}
purge_room POST /_dendrite/admin/purgeRoom/{roomID}
download_room_state GET /_dendrite/admin/downloadState/{serverName}/{roomID}
evacuate_user POST /_dendrite/admin/evacuateUser/{userID}
reset_password POST /_dendrite/admin/resetPassword/{userID}
refresh_devices POST /_dendrite/admin/refreshDevices/{userID}
whois GET /_matrix/client/v3/admin/whois/{userId}
register_user GET+POST /_synapse/admin/v1/register (shared-secret HMAC flow)
list_registration_tokens / get_registration_token / create_registration_token / update_registration_token / delete_registration_token /_dendrite/admin/registrationTokens*
send_server_notice POST /_synapse/admin/v1/send_server_notice
fulltext_reindex GET /_dendrite/admin/fulltext/reindex

purge_room and evacuate_* are irreversible/disruptive — see CLAUDE.md for guidance on when an agent should confirm before calling them.

Connecting a remote client (HTTP transport)

Once deployed with MCP_TRANSPORT=http, point a client at http://<host>:3939/mcp with an Authorization: Bearer <MCP_AUTH_TOKEN> header. <host> can be a LAN IP or a Tailscale IP/MagicDNS name — whichever the client can reach.

Claude Code:

claude mcp add --transport http dendrite-admin --scope user \
  http://<host>:3939/mcp \
  --header "Authorization: Bearer <MCP_AUTH_TOKEN>"

opencode (~/.config/opencode/opencode.jsonc for a user-wide server):

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dendrite-admin": {
      "type": "remote",
      "url": "http://<host>:3939/mcp",
      "headers": { "Authorization": "Bearer <MCP_AUTH_TOKEN>" }
    }
  }
}

Codex CLI (~/.codex/config.toml):

[mcp_servers.dendrite-admin]
url = "http://<host>:3939/mcp"
bearer_token_env_var = "DENDRITE_ADMIN_MCP_TOKEN"

bearer_token_env_var names an environment variable Codex reads at startup — export it in your shell profile, e.g. export DENDRITE_ADMIN_MCP_TOKEN=<MCP_AUTH_TOKEN>.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选