Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Author, edit and run Bruno collections as files: HTTP, WebSocket, gRPC, per-request pass/fail.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add bruno-studio -- npx -y @ostico/bruno-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"bruno-studio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 Ostico 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.5.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Drain unblocking, leak detection & plumbing in Varna, Bulgaria: services, prices, areas, contact
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요