Dapr MCP Server

Name: Dapr MCP Server
Author: dapr

作者：dapr版本 0.0.3i★ –i在你的电脑上运行

注册名称io.github.dapr/dapr-mcp-server

安装

概览

作者提供的说明（英文原文）

Dapr state, pub/sub, bindings, secrets, locks, crypto, conversation, actors, invocation as MCP tools

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 其他
你需要填写：DAPR_GRPC_PORT, DAPR_API_TOKEN

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： DAPR_GRPC_PORT, DAPR_API_TOKEN, DAPR_MCP_SERVER_LOG_LEVEL

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

Docker已安装 Docker

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "dapr": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DAPR_GRPC_PORT",
        "-e",
        "DAPR_API_TOKEN",
        "-e",
        "DAPR_MCP_SERVER_LOG_LEVEL",
        "ghcr.io/dapr/dapr-mcp-server:v0.0.3",
        "--http="
      ],
      "env": {
        "DAPR_GRPC_PORT": "your-value",
        "DAPR_API_TOKEN": "your-value",
        "DAPR_MCP_SERVER_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add dapr --env DAPR_GRPC_PORT=your-value --env DAPR_API_TOKEN=your-value --env DAPR_MCP_SERVER_LOG_LEVEL=your-value -- docker run -i --rm -e DAPR_GRPC_PORT -e DAPR_API_TOKEN -e DAPR_MCP_SERVER_LOG_LEVEL ghcr.io/dapr/dapr-mcp-server:v0.0.3 --http=

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "dapr": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DAPR_GRPC_PORT",
        "-e",
        "DAPR_API_TOKEN",
        "-e",
        "DAPR_MCP_SERVER_LOG_LEVEL",
        "ghcr.io/dapr/dapr-mcp-server:v0.0.3",
        "--http="
      ],
      "env": {
        "DAPR_GRPC_PORT": "your-value",
        "DAPR_API_TOKEN": "your-value",
        "DAPR_MCP_SERVER_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "dapr": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DAPR_GRPC_PORT",
        "-e",
        "DAPR_API_TOKEN",
        "-e",
        "DAPR_MCP_SERVER_LOG_LEVEL",
        "ghcr.io/dapr/dapr-mcp-server:v0.0.3",
        "--http="
      ],
      "env": {
        "DAPR_GRPC_PORT": "your-value",
        "DAPR_API_TOKEN": "your-value",
        "DAPR_MCP_SERVER_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

DAPR_GRPC_PORT 必填 env
gRPC port of the Dapr sidecar
DAPR_API_TOKEN 机密 env
Dapr API token, if the sidecar requires one
DAPR_MCP_SERVER_LOG_LEVEL env
Log level, written as JSON to stderr

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 dapr 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32497 个服务器的 0%
发布到注册中心的时间比此分类中其他 32497 个服务器的 62% 更新
基础检查结果等于或优于此分类中其他 32497 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Dapr MCP Server 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：DAPR_GRPC_PORT, DAPR_API_TOKEN

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.0.3）于23天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Zoo MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

Zoo MCP

作者：KittyCAD

An MCP server that provides access to the Zoo API for various CAD operations and tools.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

dapr-mcp-server

A Model Context Protocol (MCP) server that exposes Dapr's building blocks as tools for AI agents.

What it is

dapr-mcp-server is a Go MCP server that fronts a Dapr sidecar and hands AI agents a curated set of tools over every Dapr building block: state, pub/sub, secrets, service invocation, actors, bindings, distributed locks, cryptography, and conversation components. Tools register dynamically from the live component set — if your deployment has no pub/sub broker, the pub/sub tools aren't exposed.

Two transports are supported: stdio for local IDE integrations (Claude Desktop, Cursor, VS Code, Claude Code) and streamable HTTP for remote or shared deployments. Every tool call is annotated with OpenTelemetry spans, metrics, and optional log export; requests can be gated by OIDC, SPIFFE, Dapr Sentry, or a hybrid of the three.

Full documentation lives at [docs.dapr.io / developing-ai / mcp](https://docs.dapr.io/developing-ai/mcp/dapr-mcp-server/).

Quick start

Run the binary next to a Dapr sidecar with dapr run (install it from Install):

dapr init

stdio, for local MCP clients that launch the server themselves

dapr run --app-id dapr-mcp-server --resources-path resources -- dapr-mcp-server

streamable HTTP, for remote clients

dapr run --app-id dapr-mcp-server --resources-path resources -- dapr-mcp-server --http :8080

With --http, connect any MCP client to http://localhost:8080/. The container image is meant for Kubernetes, where the Dapr sidecar injector adds the sidecar through the dapr.io/enabled: "true" and dapr.io/app-id pod annotations. For the complete walk-through (components, auth, OTEL, verification), see the getting started guide.

Install

Method	Command
Container	`docker pull ghcr.io/dapr/dapr-mcp-server:latest`
Binary	Download from Releases and place on `PATH`
From source (Go 1.26.6+)	`go install github.com/dapr/dapr-mcp-server/cmd/dapr-mcp-server@latest`

The server is listed in the official MCP Registry as io.github.dapr/dapr-mcp-server, so MCP clients that browse the registry can install it as a container.

Configuration

The configuration guide has the full environment variable reference.

Flag	Default	Purpose
`--http`	unset (stdio)	Serve streamable HTTP on this address instead of stdin/stdout. Health probes are served on `/livez`, `/readyz` and `/startupz`.
`--health-check`	`false`	Probe `/livez` of a running server and exit 0 if it answers 200, 1 otherwise. Used by the container `HEALTHCHECK`.
`--health-check-addr`	from `--http`, else `localhost:8080`	Address `--health-check` probes. A wildcard host such as `0.0.0.0` is probed as `localhost`.
`--version`	`false`	Print the version and exit.

Logs are written as JSON to stderr, so they never mix with the stdio transport on stdout. /readyz returns 503 while the Dapr sidecar is unreachable.

Settings specific to the HTTP transport:

Environment variable	Default	Purpose
`DAPR_MCP_CORS_ORIGIN`	unset (no CORS headers)	Origin allowed to call the server from a browser, for example `https://app.example.com`. Set it only when a browser-based MCP client on another origin needs access.

Documentation

Page	Purpose
Overview	What the server is, architecture, capabilities, when to use it
Getting started	Install, configure components, run, verify
Tool reference	Schemas, inputs, outputs, and safety flags for every tool
Configuration	Environment variables, flags, and transport settings
Authentication	OIDC, SPIFFE, Dapr Sentry, hybrid mode
Observability	Traces, metrics, and logs

AI coding agents contributing to this repo: see AGENTS.md. For human contributors: see CONTRIBUTING.md.

Tools at a glance

All tools, with links to their entries in the tool reference. Core tools are always registered; conditional tools register only when a matching Dapr component exists. The server follows components that Dapr hot-reloads: each time a client lists tools or calls get_components, it checks the sidecar, adds a building block's tools when its first component appears and removes them when its last one goes, and tells connected clients the tool list changed.

Category	Tool	Registration	Notes
metadata	`get_components`	Core	Always call first
invoke	`invoke_service`	Core	Service-to-service HTTP invocation
actors	`invoke_actor_method`	Core	Virtual-actor method call
state	`save_state`	`state.*`	Idempotent save
state	`get_state`	`state.*`	Read-only
state	`get_bulk_state`	`state.*`	Read-only; several keys
state	`delete_state`	`state.*`	Destructive, idempotent
state	`execute_transaction`	`state.*`	Atomic batch
pubsub	`publish_event`	`pubsub.*`	Not idempotent
pubsub	`publish_event_with_metadata`	`pubsub.*`	Adds headers/TTL
bindings	`invoke_output_binding`	`bindings.*`	External-system I/O
secrets	`get_secret`	`secretstores.*`	Single secret
secrets	`get_bulk_secrets`	`secretstores.*`	High-risk; bulk fetch
conversation	`converse_with_llm`	`conversation.*`	Delegate to a downstream LLM
crypto	`encrypt_data`	`crypto.*`	RSA encrypt
crypto	`decrypt_data`	`crypto.*`	RSA decrypt
lock	`acquire_lock`	`lock.*`	Distributed mutex
lock	`release_lock`	`lock.*`	Pair with `acquire_lock`

Development

go build -o dapr-mcp-server ./cmd/dapr-mcp-server

go test -race ./... golangci-lint run ./...

See AGENTS.md for the full contributor / AI-agent playbook (build commands, tool-addition pattern, testing strategy, DCO flow).

Contributing

Contributions welcome — open issues via the issue templates, sign your commits per the DCO, and follow the pull request template. See CONTRIBUTING.md for the full workflow.

Security issues: do not open a public issue — follow the Dapr security disclosure process instead.

License

Apache 2.0 — see LICENSE.