World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.
选择你使用的 AI 应用,然后复制设置。
通过 4/5 项检查 · 你的提问会经过开发者的服务器(clarilayer.com) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 5 分钟
需要 ClariLayer 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
ClariLayerhttps://clarilayer.com/api/mcp/mcp在 Request headers 下添加这个名称和值
AuthorizationBearer <在这里粘贴你的密钥>只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+ConnectorsClariLayer
用 ClariLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 ClariLayer,或回答中出现 ClariLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 ClariLayer
ClariLayer 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式
A · 使用能连接 ClariLayer 的应用
B · 其他 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code · 约 5 分钟
需要 ClariLayer 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
获取密钥的方法见下方开发者的 README
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user clarilayer https://clarilayer.com/api/mcp/mcp --header 'Authorization: Bearer your-value'按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 ClariLayer 在列表中并显示已连接
用 ClariLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 ClariLayer,或回答中出现 ClariLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 5 分钟
需要 ClariLayer 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
获取密钥的方法见下方开发者的 README
在 ClariLayer 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 ClariLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 ClariLayer,或回答中出现 ClariLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 5 分钟
需要 ClariLayer 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
获取密钥的方法见下方开发者的 README
在 ClariLayer 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 ClariLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 ClariLayer,或回答中出现 ClariLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --transport http --scope user clarilayer https://clarilayer.com/api/mcp/mcp --header 'Authorization: Bearer your-value'Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"clarilayer": {
"url": "https://clarilayer.com/api/mcp/mcp",
"headers": {
"Authorization": "Bearer your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"clarilayer": {
"type": "http",
"url": "https://clarilayer.com/api/mcp/mcp",
"headers": {
"Authorization": "Bearer your-value"
}
}
}
}说明为自动翻译,变量名保持原样;不确定时请查看原文。
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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
服务器要求先登录,才会列出它的工具。
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15日
注册名称已通过 GitHub 账户 clarilayer 验证,该账户拥有此仓库
代码最后更新于2个月前
GitHub 无法识别许可证类型;请打开文件自行查看
在 270 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 5 项适用的基础检查中通过了 4 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。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于2个月前,最新版本(0.31.0)于4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。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:World Monitor, openstatus, Oh My Posh Validator, Strata, Jitsu
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
如何看卡片:↓ 每周下载量i★ 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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
Manage monitors, status pages, incidents and maintenances in your openstatus workspace.
Validate oh-my-posh configurations and segment snippets against the official schema.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.
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。
ClariLayer
Your AI should remember how you work.
Turn selected past conversations into memory your AI can use across projects and sessions.
Website · Docs · Connect your AI · Quickstart
ClariLayer keeps the facts, preferences, decisions, rules and lessons you choose to carry forward. Connect Claude Code, Cursor, Codex, claude.ai or another compatible remote MCP client. Your AI can recall relevant work context from the selected authorized space, with its source and applicability visible.
Start free. No credit card for the current personal offer.
You settle a launch decision with your AI:
For the Launch project, show the product demo first. Technical detail belongs in docs. Remember this confirmed decision with its source and project applicability.
In a later session:
Recall the Launch project's saved decisions before drafting the launch page. Show which decision applies and where it came from.
The decision can travel across projects and sessions within the authorized space while retaining its original applicability. A rule for one customer or project stays bounded. If it changes, correct it; if it no longer belongs, use scoped forget or exclusion.
Recall depends on the AI client actually calling the tool. Connecting MCP does not guarantee every answer uses saved context.
Use [Connect your AI](https://clarilayer.com/connect-ai) for guided setup. Select your client and space, give the setup request to that AI, and complete authentication in the client. Use OAuth when the selected route supports it, or store a context key locally as the fallback. Never paste a key into an AI conversation or a GitHub issue.
Already connected? Choose Update my AI setup on the same page, then run its request in the intended project. This updates one recognized ClariLayer instruction block while preserving your own instructions.
| Client | Project instruction target |
|---|---|
| Claude Code | CLAUDE.md |
| Codex | AGENTS.md |
| Cursor | .cursor/rules/clarilayer.mdc |
| claude.ai / other remote clients | Follow the connection and runtime guidance supported by that client |
The installed bootstrap obtains the current workflow from get_project_stanza with mode: "runtime" once at the first relevant use in each new AI session. A routine server guidance update then reaches the next session without copying another long workflow into every project.
The npm CLI supports context-key connection setup and a local dbt check. CLI 0.3.0 replaces the embedded Analytics instructions with a request for your connected AI and adds instructions --agent .
Check which version is available before choosing a command:
npm view clarilayer version
With 0.3.0 or later available:
npx clarilayer@latest init
npx clarilayer@latest instructions --agent codex
If your registry still serves 0.2.1, use npx clarilayer@0.2.1 init --no-stanza to skip its older embedded instructions, then complete Update my AI setup through the guided setup above. The hosted path is available independently of npm publication.
See CLI.md for options and the source-checkout route, CHANGELOG.md for release history, and RELEASING.md for publication checks. Native instruction qualification records the tested client and its limits.
Full setup, manual connection examples and troubleshooting: [QUICKSTART.md](./QUICKSTART.md).
| Work | How it works |
|---|---|
| Recall | recall_context retrieves relevant saved context across the selected authorized space. Preserve source and applicability; project and purpose are relevance hints, not permissions. Fetch complete entries with get_context_entry when needed. |
| Remember or correct | remember with work_context saves confirmed durable facts, preferences, decisions, rules and lessons. Ambiguous changes and suggestions remain candidates for review. |
| Forget | Recall the target first, then use its returned entry ID for the requested forget operation. Do not guess names or delete related entries without a separate request. |
| Complete the context loop | context_checkpoint records the AI's bounded completion declaration. It does not prove the AI used the right context or completed an external task. |
| Report use | report_context_use optionally links bounded feedback to delivered context. A delivery receipt alone is not evidence of answer quality. |
The hosted MCP service was checked on September 17, 2026: capability v64 · server 0.39.0 · 23 tools. Use the live capabilities tool for the current list and versions. Capability reference.
After connection, you can choose supported local history, a destination space and an extraction provider, then inspect the exact preview before accepting an initial import. Ongoing capture requires a separate setup and grant for the sources you choose. Connecting MCP alone does not read history or enable capture.
Source support and extraction-provider support are separate. The current qualified extraction path uses a version-specific Claude CLI profile; OpenAI and Cursor extraction providers are unavailable, and native Cursor history qualification is limited. Check the current history guide before choosing a source.
Selected source content is processed by the chosen extraction provider. ClariLayer stores the extracted context rather than a raw transcript archive. Provider processing may use your allowance or incur provider usage charges.
Optional semantic search has separate organization consent and provider disclosure in Settings. A new connection or history-import choice does not grant that consent. Lexical recall remains available without it.
ClariLayer for Analytics retains its specialist tools:
get_analysis_context recalls definitions, schema notes, saved queries and related context. Recall previews can be truncated; use get_context_entry for full bodies, stored SQL and CRM contracts.bootstrap imports supplied SQL, dbt models, notes, data dictionaries and semantic models. It does not read a repository or warehouse by itself.reconcile compares a saved definition with supported warehouse or bounded, row-free HubSpot evidence supplied by your agent. Salesforce contracts can be stored and recalled; Salesforce reconcile is disabled.General work and engineering context are not independently reconciled. Live trust statuses remain `asserted` / `caveat`; verified is not live.
Watch the Analytics reconcile example
A seeded Analytics demo. Your agent supplies the warehouse evidence; a mismatch becomes a caveat for later sessions. This illustrates the Analytics specialist path.
cd your-dbt-project
dbt docs generate npx clarilayer dbt-check
The CLI compares local manifest.json and catalog.json files for phantom columns, missing catalog models, type-family mismatches and empty descriptions. No account or warehouse connection is needed for the local check. With an explicit --save, bounded findings are staged as proposals in your Context Inbox for review. --save --dry-run previews the payload without a network request.
See the CLI reference and Analytics recipes. The August 2026 dbt drift survey retains its method, evidence and limitations for the published 0.2.1 check.
propose / propose_batch for review. Pending proposals are not live recall context. Ad hoc conversation harvest requires an explicit request and sends distilled candidates, not the transcript.This repository's docs, examples, recipes and setup/dbt CLI are MIT licensed. The hosted ClariLayer service is proprietary. This repository is the public starting point for connecting to the service.
The Governed Context Edge is available through a hand-run private team pilot. Request early access.
For contributions and setup help, see CONTRIBUTING.md.