Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Author, edit and run Bruno collections as files: HTTP, WebSocket, gRPC, per-request pass/fail.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
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": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add bruno-studio -- npx -y @ostico/bruno-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bruno-studio": {
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"bruno-studio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ostico/bruno-mcp"
]
}
}
}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。
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。
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7日
注册名称已通过 GitHub 账户 Ostico 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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)。
GitHub 仓库最后更新于–,最新版本(2.5.0)于3个月前进入注册中心。
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 Node.js。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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。
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
只显示了开头部分;其余内容请在仓库中阅读