
Ramen: self-hosted MCP for teams
io.github.bkraad47v0.6.21更新於 Oct 5, 2026
Self-hosted MCP for teams: deploy your own tools from git, control who uses them, audit every call.
概覽
自架 MCP 平台,把 git 儲存庫中的 Python 工具部署成多區域 MCP 工作節點,支援群組金鑰、OAuth 與稽核日誌。
- 功能
- Ramen 把包含工具、資源與提示詞的 git 儲存庫部署成一組位於雲端負載平衡器之後的 MCP 工作節點。每個工作節點由一個 Rust MCP 節點(Streamable HTTP 與 gRPC、Bearer 驗證、IP 允許清單、健康檢查、日誌)搭配一個 Python 3.14 執行環境,後者以 pip 安裝並執行你的程式碼。主控台可管理群組、環境、區域、密鑰、金絲雀部署、再平衡、IP 規則、日誌、稽核與備份。用戶端透過 POST /mcp 的 Streamable HTTP 或 stdio 橋接連線。
- 適用情境
- 當團隊想從 git 自行託管 MCP 工具、控管呼叫權限,並為每次呼叫留下稽核紀錄時使用。它適合需要在 GCP 或 AWS Kubernetes 上執行多區域、金絲雀部署的 MCP 工作節點,而非每個工具一個容器的組織。
- 執行需求
- 遠端端點位於 Docker(compose v2)、uv、git 與 make。雲端部署面向 GCP(GKE、Firestore、GCS、Secret Manager、Cloud Armor)或 AWS(EKS、DynamoDB、S3、Secrets Manager、WAF)。用戶端需送出 Authorization Bearer 憑證(rmk_ MCP 金鑰或 OAuth 權杖)以及 ramen-group 與 ramen-zone 標頭。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Ramen: self-hosted MCP for teams,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"ramen": {
"type": "http",
"url": "https://{ramen_edge}/mcp"
}
}
}README
Multizone, highly available, enterprise-grade MCP server for GCP and AWS Kubernetes.
Rust MCP node + Python 3.14 runtime workers, Streamable HTTP at the edge and gRPC inside, managed from a FastAPI console.
[release] [ci] [docs] [license] [MCP]
Docs: https://bkraad47.github.io/ramen/ · Get started · The MCP repo · Connect a client with OAuth · How it works · Deploy on GCP · Deploy on AWS · Contracts · Releases
Streamable HTTP is the front door. Every worker serves
POST /mcp— a URL and a bearer header, nothing to install — next to the gRPC service it has had since 0.3.1, on the same port, through the same guards. Phones, browsers and hosted agent platforms connect directly; the stdio bridge stays for clients that only speak stdio. Per-user access through OAuth (the console is the authorization server), live-verified on GKE since 0.5.1.
What is true today, before the pitch. Current release 0.6.23. The local stack and CI prove both
transports on real node processes on Linux and Windows. One GKE cluster has proved the gRPC path end to end
(0.3.2, 0.4.0) and the HTTP path with OAuth through the same load balancer (0.5.1, with a publicly trusted
certificate since 0.5.5). The AWS path has been applied to a real account since 0.5.6, and the published bridge
was server-tested against it in 0.5.8. 0.6.1 itself was deployed on both, two zones each, on 2026-10-04/05:
canary deploys (the stable track waits for the canary), POST /mcp over HTTP/1.1 and HTTP/2 through the load
balancer, per-token throttling shared across zones through Redis, OAuth sign-in through the bridge, the base URI,
and zone teardown. Everything below is written so those lines stay findable.
Ramen turns a git repo of tools, resources and prompts into a fleet of MCP workers behind a cloud load balancer. Each worker pairs a Rust MCP node (Streamable HTTP and gRPC, bearer auth, IP allow-lists, health, logs) 1:1 with a Python 3.14 runtime that pip-installs and runs your code. One console manages groups (tenants), environments, zones, secrets, canary deploys, rebalancing, IP rules, logs, audit and backups — in the browser or through an API key.
- Git → bucket → worker. Deploy syncs the repo to a bucket; workers load by content hash. No git creds on pods.
- Canary by default. Roll a canary, smoke-test
tools/list, then roll stable. Failure leaves stable untouched. - Multi-zone from day one. Group → Environment → Zone → Worker; the LB routes on
ramen-group/ramen-zonemetadata, so one client config works for every zone. - Enterprise controls. A role per group (Group Admin, Viewer or MCP User) plus global super admins,
rmk_MCP keys,rmn_API keys, IP rules (per zone at the node, one Cloud Armor policy per group at the edge), secrets that are never displayed, an audit line for every action. - Transport: Streamable HTTP at the edge, gRPC inside.
POST /mcpfor any client that can make an HTTP request;ramen.v1.Mcp/Callfor teams that want gRPC internally. One set of guards serves both — the same functions, spelled401 / 403 / 429on one andUNAUTHENTICATED / PERMISSION_DENIED / RESOURCE_EXHAUSTEDon the other — so the two paths cannot drift. - Cheaper: one Deployment per zone, not one per tool. A worker is one Rust node plus one Python runtime that loads every tool of the group. A team with thirty small tools runs them on one Deployment per zone (two pods with a canary), behind one load balancer. Container-per-MCP-server designs run thirty. Autoscaling adds pods for load, not for tool count.
- Secure, in one sentence. User code never runs in the process that holds the keys and does the auth: the Rust node checks every call and hands the message to a separate Python process it can kill and respawn.
Built on how organizations work
Groups own tools in git, environments pin a ref and a set of zones, people hold a role per group, agents and clients sign in as themselves, and every deploy is a canary, a smoke test and a rollout. Underneath it is gRPC, JSON-RPC 2.0 and a Rust node; you code in Python. The longer argument is How it works and why.
Start here · the demo group repo ramen-demo-mcp-group (point a group at it and press Deploy) · the stdio bridge ramen-mcp-bridge on PyPI (
pip install ramen-mcp-bridge; signs you in with--oauthor carries a group key) · HTTP clients such as Claude Code, Claude Desktop and Cursor need neither: they connect with a group key, and Claude Code can also sign you in with OAuth. Every feature and where it is managed: How it works.
Quickstart (local, 5 commands)
Needs Docker with compose v2, uv, git and make. The first run builds two images and takes three to five minutes.
make demo is safe to re-run: an existing zone, group or environment answers "exists" and a fresh key is
generated each time.
Then connect your own client with an rmk_ MCP key (Groups → demo → Generate key → Deploy). It is a URL and
a header — put the key in RAMEN_MCP_KEY and drop this into any mcpServers config:
Anything that can make an HTTP request is a client:
Clients that only speak stdio use the bridge, which forwards to the same worker over gRPC:
rmk_MCP keys go to workers (Authorization: Bearer, on HTTP or as gRPC metadata) and are generated on the group page.rmn_API keys go to the console (X-Ramen-Api-Key) for automation and are generated on the API keys page. They are not interchangeable. For a token scoped to one person rather than a shared key, register an OAuth client on the Config page: the worker's401tells an OAuth-capable client where to sign in. Full walkthrough with themcpSDK and a rawgrpcurlcall: Get started (also indeploy/local/README.md).
Screenshots
Transport, and what secures each hop
Workers speak Streamable HTTP (POST /mcp, one JSON-RPC 2.0 message per request, MCP spec 2025-06-18) and
gRPC (ramen.v1.Mcp/Call, one message as bytes body) on the same port (contract §16,
§11). MCP itself is unchanged — your client and your tools see the standard messages. The two
transports share one implementation of every check: the HTTP handler turns the request headers into the same
metadata map and calls the same guard and dispatch functions the gRPC service calls, so a check added to one is on
both or on neither.
Why the node is Rust. A worker runs two processes with one job each. ramen-node (Rust + tonic) owns what must
not be slowed down or broken by user code: the gRPC surface, key checking, source-range checking, the blocked-name
filter, concurrency bounds, deadlines, health and the access log. It is a small static binary with no interpreter
and no user code in its address space. ramen_runtime (Python 3.14) owns what users write: pip install, validation,
secret substitution, the call. They talk over newline-delimited JSON-RPC on stdin/stdout (§2),
so there is no extra socket to secure, and the runtime is killed after an idle timeout — a crash or leak in tool
code costs one respawn, not the process holding the keys.
Five details behind that table matter in practice. The origin allowlist is empty by default, so every browser
Origin is refused until you add one. The source-range check reads the x-forwarded-for entry a proxy appended
(hop count 2 on GCP, 1 on AWS), and a wrong count denies rather than admits. The allowlist itself defaults to
everything until you set IP rules. An IP lock must include the console's own range, because a deploy smoke-tests
tools/list as an ordinary call. grpc.health.v1.Health is deliberately unauthenticated so load balancers can
probe it, and reports SERVING only once the runtime has loaded the group's code.
What is verified, in four lines.
- Both transports through every guard, on real node processes, in CI on Linux and on a Windows runner that builds the node natively (0.5.0).
- The GCP path live through the Gateway load balancer on a throwaway project every release, most recently 0.6.1 with two zones, OAuth, the Redis throttle and a real teardown.
- The AWS path applied to a real account in 0.5.6, 0.5.8, 0.6.0 and 0.6.1, each emptied the same day; the published bridge server-tested against it in 0.5.8.
- Covered by tests only, never on a real load balancer: node TLS, and the size and in-flight caps.
- By design, a group's code runs in a process that holds that group's secrets. Isolation between groups is the pod, the namespace and the per-zone identity.
Full write-up: Transport and what secures each hop.
Deploy to the cloud
Bring-up on GCP is terraform apply → make push → helm upgrade --install → add a zone and a group in the
console → Deploy. About 25 minutes, mostly waiting for GKE and the load balancer. The load balancer gets a
publicly-trusted certificate automatically (a free sslip.io hostname derived from the static IP — no domain to
buy, since 0.5.5). Clients then use https://<public_hostname>/mcp with Authorization: Bearer rmk_ and the
ramen-group / ramen-zone headers (the same address serves the console and, by those headers, every zone);
stdio-only clients point the bridge at <public_hostname>:443 --tls — no --ca, nothing to import.
Write your own tools
Full guide with the demo repo, env.yaml and local development: The MCP repo, structure and local development.
A group repo is any git repo with mcp/tools/<name>/<name>.py + <name>.json (and resources/, prompts/,
requirements.txt). Start from ramen-demo-mcp-group; the
contract is in the MCP repo page. Secrets are referenced as
{{$group.NAME}} and substituted by the runtime at call time. Nothing about the transport leaks into tool code.
Repository
Architecture: ARCHITECTURE.md · Changes: CHANGELOG.md · Versions: tracker
Develop
Contributing
See CONTRIBUTING.md — use it, fork it, change it, with attribution; renaming it as a new commercial product of your own is not acceptable. Related repositories and which versions go together: Releases.
License
BSD-3-Clause © 2026 Raad. See LICENSE.
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