Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Generic HAR analysis MCP server: index and query captures without burning tokens on raw files.
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": {
"hardly": {
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}在终端中运行这条命令
claude mcp add hardly -- uvx hardly serve粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"hardly": {
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}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": {
"hardly": {
"type": "stdio",
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}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 b1tninja 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(1.0.0)于9天前进入注册中心。
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 Python (uv)。
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。
A generic, content-neutral CLI and MCP server for reading and capturing HAR files and turning them into what a client SDK needs: endpoints, forms and labels, data and media kinds, and how credentials and authentication work.
Browser HAR captures are often tens of megabytes. Agents that read them burn tokens and still miss structure. hardly streams a HAR into SQLite once, then exposes small, redacted, paginated tools over MCP (and a matching CLI). Bodies are truncated, secrets are redacted, lists are paginated: you *hardly* need the whole file.
hardly knows technologies (HTML forms, ASP.NET WebForms, GraphQL, OAuth/OIDC, cookies/CSRF, bot walls, ArcGIS REST...) and resource kinds (JSON, CSV, HTML tables, PDF, images...), not any particular site. Downstream SDKs keep their own recipes and vocabularies. See docs/scope.md.
pip install hardly # or: pipx install hardly / uv tool install hardly
pip install 'hardly[capture]' && python -m playwright install chromium # optional: record HARs
To work on hardly itself: pip install -e ".[dev]" (CONTRIBUTING.md).
Python 3.10+. Give an output path to save; otherwise nothing is written. Everything lives in memory unless you pass output_path (hardly session open HAR -o index.db). Python: with open_session(har) as s: ... (integrating.md).
hardly guide mode # which of the three modes fits
hardly session overview path/to/capture.har # counts per server, method and status hardly session site-brief path/to/capture.har # one-screen digest of a server-rendered site hardly endpoint list path/to/capture.har --host api.example.com hardly session report path/to/capture.har # one-pass findings with severity hardly write export path/to/capture.har --format openapi -o api.yaml hardly write export path/to/capture.har --format client_python --host api.example.com -o client.py
For agents, start with hardly_guide_task_plan(goal, har_path, url) (CLI: hardly guide task-plan --goal ...): it returns an ordered plan with example calls and the current environment state.
The CLI and the MCP server share one vocabulary: the command is the tool name without hardly_ (hardly_session_open is hardly session open HAR, hardly_send_entry is hardly send entry HAR 12 --confirm).
| First word | Meaning |
|---|---|
send | sends requests to a real server; needs confirm=true (CLI --confirm), otherwise returns only a plan |
write | writes a file; refuses to replace one unless overwrite=true (--overwrite) |
browser | drives or reads a real browser |
| anything else | only reads loaded data |
Merged tools take a sections list, for example hardly_auth_report(sections=['credentials', 'cookies']). Reference: docs/tools.md (71 tools), docs/cli.md (commands); stability promise: docs/api-stability.md.
| Mode | When | Entry |
|---|---|---|
| archive | A HAR file already exists | hardly_session_open(har_path) then hardly_session_site_brief / hardly_endpoint_list |
| headless | Only a URL; an agent can drive the page | hardly_browser_capture_discover(url, analyze=true, confirm=true) (CLI hardly browser capture-discover URL --analyze --confirm) |
| interactive | Bot wall, captcha, MFA, complex UI | hardly_browser_start(headed=true), ask the person, then hardly_browser_stop |
After any capture, continue in archive mode on the returned session_id. hardly never evades captchas or bot walls: it identifies them and tells you to stop, ask a person, or re-run elsewhere (docs/gate-policy.md). Details: docs/capture.md.
uvx hardly serve # MCP server over stdio (archive mode)
uvx --from 'hardly[capture]' hardly browser --help # with the Playwright capture extra pipx install 'hardly[capture]' # or install the CLI permanently hardly skill install # copy the Agent Skill into ~/.claude/skills/hardly
MCP client config for the published package:
{ "mcpServers": { "hardly": { "command": "uvx", "args": ["hardly", "serve"] } } }
Browser capture needs a local install ([capture] extra, then python -m playwright install chromium; headed capture needs a display). The container image ghcr.io/b1tninja/hardly (multi-arch, built on each release) is for archive/headless analysis only; mount your working directory at /workspace. Release and verification details: docs/releasing.md.
Local venv (recommended; headed capture needs a display):
{
"mcpServers": { "hardly": { "command": "/path/to/hardly/.venv/bin/python", "args": ["-m", "hardly"] } } }
On Windows use ...\\.venv\\Scripts\\python.exe. hardly serve starts the same server.
Docker (offline analysis only; mount your working directory):
python scripts/build_image.py # builds hardly-mcp:latest (Windows: scripts\deploy-docker.ps1)
{
"mcpServers": { "hardly": { "command": "docker", "args": ["run", "--rm", "-i", "-v", "/home/me/work:/workspace", "-e", "HARDLY_WORKSPACE=/workspace", "hardly-mcp:latest"] } } }
Host paths under the mount map to /workspace/.... To skip building locally, use the published image ghcr.io/b1tninja/hardly:latest in place of hardly-mcp:latest.
hardly_guide_task_plan, hardly_guide_mode, hardly_server_status (stale MCP? restart the server), hardly_guide_help(topic).analyze_har, discover_apis, capture_portal, document_api, find_auth_flow, reverse_engineer_api, build_client_sdk, diagnose_blocked_capture, verify_client.hardly://cheatsheet and hardly://docs/ for the bundled docs.hardly skill install [--dest DIR] (default ~/.claude/skills/hardly), or hardly skill print. Source: skills/hardly.| Doc | Contents |
|---|---|
| docs/README.md | Index of all docs |
| docs/scope.md | What is in and out of scope; change checklist |
| docs/cheatsheet.md | One-page quick reference |
| docs/concepts.md | Sessions, index, redaction, modes |
| docs/sdk-workflow.md | Capture to client SDK, step by step |
| docs/reporting.md | hardly_session_report findings |
| docs/catalog.md | Target catalog, TargetAdapter, batch verify |
| docs/capture.md | Headless and interactive capture, recipes, env vars |
| docs/technologies.md | What is detected, per technology |
| docs/architecture.md | Data flow and design rules |
| docs/troubleshooting.md | Common first-use problems |
| docs/tools.md | Generated reference for every MCP tool |
| docs/cli.md | CLI grammar and every command (generated) |
| docs/api-stability.md | What is public and the v1 compatibility policy |
| docs/api-decisions.md | How the v1 names were chosen; old to new names |
from hardly import open_session
with open_session("capture.har") as s: # in memory; pass output_path= to save the index print(s.conn.execute("select count(*) from entries").fetchone()[0])
pytest -q # offline; HARDLY_LIVE_CAPTURE=1 enables live Playwright tests
ruff check .
Live soak against public demo sites (no private HARs): hardly soak live --list, then hardly soak live (or --ids datatables-ajax,quotes-login,…). Catalog covers loopback WebForms/token login, HTML/AJAX tables, form logins, GraphQL, and JSON/OpenAPI — see hardly.live_targets and docs/test-targets.md. CONTRIBUTING.md, AGENTS.md; release notes in CHANGELOG.md.
HAR files often contain live passwords and session tokens. hardly redacts by default, but treat captures as secrets: do not commit or share them, and rotate credentials if one leaked. Use hardly only on targets you are authorised to access. See SECURITY.md.
MPL-2.0. Generated output (stubs, OpenAPI, reports) is not covered; see NOTICE.md.