Dapr MCP Server

io.github.dapr由 GitHub 账号 dapr 发布v0.0.3更新于 Nov 4, 2026

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

概览

AI 生成的概览

这是一个 Go 编写的 MCP 服务器,连接 Dapr sidecar,把状态、发布订阅、绑定、密钥、锁、加密、actor 和服务调用等能力作为工具提供给 AI 助手。

可以做什么
  • 查看 sidecar 的组件,并调用服务或 actor 方法
  • 读取、保存、批量读取、删除状态条目,以及原子批量事务
  • 发布发布订阅事件,可选附带请求头与 TTL 等元数据
  • 从已配置的密钥存储中获取单个或批量密钥
  • 加密与解密数据,获取和释放分布式锁
  • 调用输出绑定访问外部系统,并把请求转交给下游 LLM
适用场景
适合助手与启用了 Dapr 的应用协同工作,需要读写其状态、发布事件、调用其他服务或 actor,或使用 Dapr 管理的密钥、锁与加密时。只有部署中实际存在的构建块才会注册对应工具。
运行要求
作为本地进程与 Dapr sidecar 一起运行,通过 dapr run 启动;可用容器镜像、发布版二进制,或用 Go 1.26.6+ 从源码构建。需要 DAPR_GRPC_PORT 指定 sidecar 的 gRPC 端口,若 sidecar 要求则还需 DAPR_API_TOKEN。可选参数可切换为 streamable HTTP 与健康检查。
安装前请注意
多个工具会修改或删除数据:save_state、delete_state、execute_transaction、publish_event、invoke_output_binding、invoke_service 和 invoke_actor_method 都会作用于真实系统。get_bulk_secrets 被标注为高风险,get_secret 会把密钥值暴露给助手。DAPR_API_TOKEN 属于凭据。HTTP 模式可对外暴露,并可用 OIDC、SPIFFE 或 Dapr Sentry 做访问控制。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Dapr MCP Server,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

dapr-mcp-server

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

[OpenSSF Scorecard]


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.

Quick start

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

bash
dapr init
# stdio, for local MCP clients that launch the server themselvesdapr run --app-id dapr-mcp-server --resources-path resources -- dapr-mcp-server
# streamable HTTP, for remote clientsdapr 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

MethodCommand
Containerdocker pull ghcr.io/dapr/dapr-mcp-server:latest
BinaryDownload 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.

FlagDefaultPurpose
--http <addr>unset (stdio)Serve streamable HTTP on this address instead of stdin/stdout. Health probes are served on /livez, /readyz and /startupz.
--health-checkfalseProbe /livez of a running server and exit 0 if it answers 200, 1 otherwise. Used by the container HEALTHCHECK.
--health-check-addr <host:port>from --http, else localhost:8080Address --health-check probes. A wildcard host such as 0.0.0.0 is probed as localhost.
--versionfalsePrint 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 variableDefaultPurpose
DAPR_MCP_CORS_ORIGINunset (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

PagePurpose
OverviewWhat the server is, architecture, capabilities, when to use it
Getting startedInstall, configure components, run, verify
Tool referenceSchemas, inputs, outputs, and safety flags for every tool
ConfigurationEnvironment variables, flags, and transport settings
AuthenticationOIDC, SPIFFE, Dapr Sentry, hybrid mode
ObservabilityTraces, 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.

CategoryToolRegistrationNotes
metadataget_componentsCoreAlways call first
invokeinvoke_serviceCoreService-to-service HTTP invocation
actorsinvoke_actor_methodCoreVirtual-actor method call
statesave_statestate.*Idempotent save
stateget_statestate.*Read-only
stateget_bulk_statestate.*Read-only; several keys
statedelete_statestate.*Destructive, idempotent
stateexecute_transactionstate.*Atomic batch
pubsubpublish_eventpubsub.*Not idempotent
pubsubpublish_event_with_metadatapubsub.*Adds headers/TTL
bindingsinvoke_output_bindingbindings.*External-system I/O
secretsget_secretsecretstores.*Single secret
secretsget_bulk_secretssecretstores.*High-risk; bulk fetch
conversationconverse_with_llmconversation.*Delegate to a downstream LLM
cryptoencrypt_datacrypto.*RSA encrypt
cryptodecrypt_datacrypto.*RSA decrypt
lockacquire_locklock.*Distributed mutex
lockrelease_locklock.*Pair with acquire_lock

Development

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

来源:README.md,提交 93f9446

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.0.3最新Oct 14, 2026

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