Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Author, edit and run Bruno collections as files: HTTP, WebSocket, gRPC, per-request pass/fail.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add bruno-studio -- npx -y @ostico/bruno-mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"bruno-studio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント Ostico で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.5.0)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
List courses; add users to courses, remove course access or delete users in MemberVault.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Turns an agent's API testing into files you keep: it authors and edits Bruno collections in place, then runs them — HTTP, WebSocket and gRPC, one identity or many — and reports per-request pass/fail you can re-run in CI.
An independent Model Context Protocol server for Bruno collections. In August 2026 Bruno's own team announced an official one, usebruno/bruno-mcp, which wraps the bru CLI to discover and run requests. This server is aimed elsewhere: it writes collections as well as running them — non-destructively, at byte parity with Bruno's own writers — and its runner is in-process rather than a subprocess, which is what lets it offer caller-defined execution groups with their own variable store and cookie jar, concurrency inside a group, oauth2 and digest exchanged in memory, gRPC and WebSocket, and multi-identity authorization testing.
If what you need is "list my collections and run one", the official server does that and will be the one Bruno supports. If you want an agent to build and maintain the suite, that is what this is for.
It gives an AI agent in Claude Code, Claude Desktop, Cursor, Windsurf, VS Code or Codex CLI eighteen tools for API testing against a real Bruno collection: create and edit requests, read them back as structured JSON, manage environments and variables, write assertions and test scripts, then run the collection — auth, cookies, redirects, dependency ordering and all — and get the results back in the same turn. No Bruno GUI, no Bruno CLI, no shelling out. The collection it leaves on disk is a normal Bruno collection: your CI runs it with bru run, your teammates open it in the Bruno app.
Your agent already knows HTTP. It does not know your API, and it does not know Bruno's file format. So it guesses. It writes a .bru file from memory, the run fails, it rewrites the file, the run fails differently, and twenty minutes later you have a passing request and no idea which of the six edits mattered. You paid for every one of those turns, and none of that work is on disk in a form your CI or your team's Bruno GUI can use.
The usual escape is curl. Agents are not bad at curl — the problem is that a shell command holds no state. A login, a token, a created resource, a follow-up call that needs the ID from the last response: each of those is a new command, and the glue between them lives only in the agent's context, when the session ends, all is lost. Twenty endpoints tested by curl leave you with twenty strings in a transcript and no artifact your CI or your teammates can run. Twenty endpoints in a collection leave you with a suite.
I asked the agent that helps me to maintain this server to explain how its experience with Bruno had been *without* the MCP server, and whether it could simply have tested all my APIs with curls instead. This is what it told me:
Curl, yes — for one call. Not for a suite. Nothing carries between calls, so I re-derive the auth, re-escape the body, and re-read every response to decide whether it passed. Do that across forty endpoints and most of what I spend goes on rediscovery, not testing.
Writing the collection files myself was worse, and not in the way you would expect. From memory I get the shape of a
.brufile right and the details wrong — and Bruno never complains. It reads the keys it recognises and ignores the rest. A single-linetags: smokelooks tagged and means *untagged* to the runner. Write a tags list the obvious way and it lands on disk one character per line. This server once wrote.ymlvariables and assertions under top-level keys Bruno has never read: the files looked complete, the runner saw an empty request. Its own unit tests passed, because they mocked the serializer and asserted the broken bytes.
The format also moves. Bruno relocated variables into
runtimeand added a second dialect. My weights are older than that. This server imports@usebruno/lang, Bruno's own grammar package, and tracks its version — so the bytes come from Bruno's source rather than from what I happen to remember.
And every rewrite deletes what the writer does not model. If I edit these files free-hand, I regenerate the whole file from my head, and any feature I did not know about is silently gone. That is the failure mode you never see, because the run still passes — it just tests nothing.
write_request touches the fields you passed and leaves the rest of the file aloneread_request returns structured JSON, the same shape for both formatsbru binary neededThis is the part that is hard to copy, so it is worth being precise about what it means.
The server does not wrap the bru binary — it implements the request pipeline itself, which is what makes in-memory secrets, wire-level tests and mid-run hooks possible. That freedom is also the risk: an independent implementation is free to be subtly, silently different from the tool your team actually uses. Two mechanisms hold it in place.
The rules are ported, not inferred. Redirect caps, timeout resolution, body-mode content types, variable interpolation order, selected defaults, URL encoding — each is read out of Bruno's own source (bruno-cli, bruno-filestore, bruno-lang, @usebruno/common, which this server also depends on directly) and mirrored, including the parts that look like bugs. Where the two dialects disagree with each other, each is mirrored on its own terms rather than unified into something neither Bruno reader would produce.
A drift gate proves it. Every file this server writes is parsed back with Bruno's own reader, per dialect, in the test suite. Asserting our bytes against our own expectations can only prove we are self-consistent; asserting them against the reader that Bruno itself uses is the only thing that catches the case where our output stops being Bruno's input. It has caught real ones — a file body that parsed cleanly and would have been sent with no body at all, for instance.
The claim, then: run behaviour matches bru run, and every divergence found so far is closed. What keeps it closed is a test rather than a promise. Find one anyway and it is a bug worth an issue.
One collection, three consumers: your agent, your CI, and your team's Bruno GUI.
Both Bruno formats work and the server detects which one you have: .yml (opencollection) and .bru (legacy).
Requires Node.js >= 22. CI tests 22.x and 24.x.
There are several, they do genuinely different jobs, and the honest answer is not always this one. Every row below was read out of that project's own README or source, August 2026.
| Server | What it is | Writes | Reads | Runs | .bru / .yml | Needs bru | Tools |
|---|---|---|---|---|---|---|---|
| this one | Authors, reads and runs collections | Create + partial-merge edit | Structured JSON | Yes, own pipeline | both | no | 18 |
| usebruno/bruno-mcp | The official one, from Bruno's own team — discovers and runs requests. Announced Aug 2026; at the time of writing its first implementation is an open draft | no | Request metadata | Yes, via the CLI | .bru | yes (bundled) | 3 |
@dmpv/bruno-mcp | Read-only index and search over a collection | no | Ranked search, sanitised contracts, stored examples | no | both | no | 8 |
| hungthai1401/bruno-mcp | Runs a collection | no | no | Yes, via the CLI | .bru | yes | run only |
| jcr82/bruno-mcp-server | Runs and inspects collections, with report files | no | Yes | Yes, via the CLI | .bru | yes | 9 |
| djkz/bruno-api-mcp | Turns each request into its own MCP tool | no | Exposes them as tools | One at a time | .bru | no | one per request |
| macarthy/bruno-mcp | Generates collection files — the project this forked from, inactive since Jul 2025 | Create only | no | no | .bru | n/a | 8 |
Pick one of the others if: you want the server Bruno itself maintains, and whatever support and longevity that implies (usebruno — the official one, and the reasonable default for "discover and run" once it ships); you want an agent to understand a large existing collection without any risk of writing to it, and search it by intent (dmpv, first published July 2026 and at 0.x — new, and interesting); you already have the bru CLI in your image and only ever need "run this collection" (hungthai1401); or you want the agent to call your API through your existing requests as if each were a native tool (djkz).
Pick this one if: you want the agent to write the collection and not just read or run it, you are on .yml opencollection format, you need the run to happen without installing the Bruno CLI, or you care that what lands in your repo is byte-comparable to what the Bruno app writes.
On the fork parent specifically, since this project owes it its existence: macarthy/bruno-mcp registers eight tools — create_collection, create_request, create_environment, create_crud_requests, create_test_suite, add_test_script, list_collections, get_collection_stats . It writes .bru files and does not read a request back, run anything, or expose an edit tool; a updateRequest helper exists in its src/bruno/request.ts but no MCP tool reaches it.
Authoring
workspace.yml. A collection this server creates is written to disk and not registered in that file, so list_collections will not show it and the Bruno GUI will not list it until someone opens it there once — everything else takes the path directlyread_request and read_environment return structured JSON, identical for .bru and .yml, so an agent can inspect before it editswrite_request changes only the fields you pass and leaves the rest of the file alone.bru (legacy) and .yml (opencollection), auto-detected; .yaml is read and flaggedform-data with per-part Content-Type and multi-file fieldsRunning
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