Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Contextual prompts and agent skills for 140+ AI platforms.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://prompeteer.ai/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"prompeteer": {
"command": "npx",
"args": [
"-y",
"@prompeteer.ai/mcp-server"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http prompeteer https://prompeteer.ai/mcpclaude mcp add prompeteer -- npx -y @prompeteer.ai/mcp-server粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"prompeteer": {
"url": "https://prompeteer.ai/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"prompeteer": {
"command": "npx",
"args": [
"-y",
"@prompeteer.ai/mcp-server"
]
}
}
}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": {
"prompeteer": {
"type": "http",
"url": "https://prompeteer.ai/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"prompeteer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@prompeteer.ai/mcp-server"
]
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://prompeteer.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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8日
注册名称已通过 GitHub 账户 prompeteer 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(2.0.3)于2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,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
Contextual prompts and agent skills for 140+ AI platforms.
Prompeteer generates contextual prompts and agent skills tuned to the model you are actually using, across 140+ AI platforms and 129 languages. Every prompt gets a 16-dimension Prompt Score, and skills get a Skill Score. Saved prompts live in PromptDrive and roam across platforms. Free to start.
| Setting | Value |
|---|---|
| Endpoint | https://prompeteer.ai/mcp |
| Transport | Streamable HTTP |
| Authentication | OAuth 2.1 with PKCE S256 |
| Connection guide | prompeteer.ai/connect |
Use a client that supports remote MCP and OAuth discovery. Add the endpoint in its remote-server settings and complete the browser sign-in. Access depends on the account, plan, consented scopes, and client support.
For Cursor, add this entry to .cursor/mcp.json:
{
"mcpServers": { "prompeteer": { "url": "https://prompeteer.ai/mcp" } } }
Other clients have their own configuration formats. Use the connection guide for client-specific setup.
For clients that launch local MCP commands, use Node.js 22.14.0 or later and add:
{
"mcpServers": { "prompeteer": { "command": "npx", "args": ["-y", "@prompeteer.ai/mcp-server@2.0.3"] } } }
The command runs a stdio bridge to the same hosted Prompeteer endpoint. It uses the pinned mcp-remote 0.8.6 proxy for Streamable HTTP and OAuth. The client opens a browser for sign-in when authorization is needed. The local bridge does not run Prompeteer's generation models or product service.
The endpoint and OAuth resource are fixed to https://prompeteer.ai/mcp. The wrapper uses a loopback OAuth callback, runs without a shell, and forwards MCP messages through stdout. Connection diagnostics use stderr. It does not accept arbitrary endpoints, authentication headers, or debug flags. Native remote clients can use the direct URL without installing the bridge.
npx @prompeteer.ai/mcp-server@2.0.3
npx @prompeteer.ai/mcp-server@2.0.3 --help npx @prompeteer.ai/mcp-server@2.0.3 --json npx @prompeteer.ai/mcp-server@2.0.3 --version
--json prints the direct remote configuration for Cursor. --help and --version do not start a connection.
OAuth credentials are managed by mcp-remote, using its local ~/.mcp-auth cache by default. On POSIX systems, new credential files are written with mode 0600. The bridge does not add its own token store. The package includes the tested proxy runtime and the patched query parser used by its callback server. Client installation does not resolve a different proxy dependency tree.
| Tool family | Examples |
|---|---|
| Prompt and skill generation | generate_prompt, generate_skill |
| Prompt Score | score_prompt |
| PromptDrive | list_prompts, get_prompt, save_to_promptdrive |
| Private Memory | list_memory_sources, search_memory, get_memory_page, ask_memory, get_memory_settings, update_memory_settings |
Skills receive a Skill Score as part of the skill workflow; score_skill is not a separate advertised MCP tool. Discover the current tool schemas through the authenticated server. Generation, scoring, writes, and private Memory operations may require additional scopes or consume plan allowances.
Example: “Generate a prompt for a product launch email in Claude. Show its Prompt Score, then save the approved version to PromptDrive.”
The server advertises OAuth metadata and requests the scopes needed for authorized work. Keep credentials in the MCP client's managed authentication flow.
| Scope | Purpose |
|---|---|
mcp:read | Read prompts and vault metadata |
mcp:write | Save prompts |
mcp:generate | Generate prompts and skills |
memory:read | Read private Memory |
memory:write | Update Memory settings |
OAuth metadata and protected resource metadata are publicly discoverable. An unauthenticated MCP request returns HTTP 401 until you sign in.
Free to start. See current plans and allowances.
Prompeteer reports 12,000+ users across 160 countries and supports 129 languages. These company facts were approved for publication in September 2026.
The official MCP registry lists the server as io.github.prompeteer/prompeteer-mcp. This is separate from first-party connector directories.
server.json describes both the npm stdio bridge and the hosted Streamable HTTP endpoint. Its registry description uses the canonical tagline because the registry limits descriptions to 100 characters. The full description is preserved in publisher metadata. .mcp/server.json is an identical compatibility copy.
Version 2.0.3 adds a working stdio bridge and corrects stale setup instructions. Earlier npm 2.0.0 printed setup instructions and exited, even though registry versions 2.0.0 through 2.0.2 advertised it as a stdio transport. The hosted endpoint remains https://prompeteer.ai/mcp.
plugin.json and mcp.json provide the portable Agent Plugins format supported by Cursor. After installing the plugin through Cursor, connect Prompeteer and complete browser sign-in. The direct Cursor configuration above also works as a manual setup format. Generated skills are returned as content; connecting does not run or install a generated skill.
gemini-extension.json provides a Gemini CLI extension using the hosted HTTP endpoint and OAuth discovery. Once the manifest is available in the public repository, install with:
gemini extensions install https://github.com/prompeteer/prompeteer-mcp
Restart Gemini CLI and complete the Prompeteer connection when prompted. Generation and scoring can consume account quota; requested saves write to your PromptDrive.
These manifests have been structurally validated. Installation and OAuth in the actual Cursor and Gemini CLI applications have not been tested for this release. Their presence does not establish a marketplace listing or platform approval. See the Cursor plugin documentation and Gemini extension reference.
.claude-plugin/plugin.json supplies plugin metadata and .mcp.json connects the client directly to https://prompeteer.ai/mcp over HTTP. This plugin contains one remote MCP connection. It adds no local command, hook, skill, agent, or shell execution. It does not start the npm bridge or install its runtime dependencies.
For a local Claude Code check after cloning this repository:
claude plugin validate .
claude --plugin-dir .
Use /mcp in Claude Code to complete the Prompeteer OAuth connection. For Grok Build, the repository can be installed through a marketplace entry that pins its exact public commit. Marketplace submission, listing, and functional client testing are separate outcomes; these source files alone do not establish any of them.
The client contacts https://prompeteer.ai/mcp and Prompeteer's OAuth discovery, registration, authorization and token endpoints on https://prompeteer.ai. Prompeteer sign-in may redirect to the identity provider selected by the user. Credentials remain in the client's supported OAuth flow; the plugin contains no tokens, API keys or environment-variable readers.
A Prompeteer account is required. Tool availability depends on the authenticated account, approved scopes and plan allowances. PromptDrive tools read or save account records; Memory tools access the user's Prompeteer Memory when enabled and authorized. Memory refers to Prompeteer's stored sources, not the host assistant's memory or conversation history. Generation and scoring can consume quota, and successful generation automatically saves its result to PromptDrive as part of the service workflow. The actual returned savedToVault and promptId fields indicate the persistence outcome. Generated skills are returned as content; this plugin does not execute them.
Tool inputs and any requested saved-content or Memory results are processed by the Prompeteer service and returned to the connected client. Prompeteer's backend may use AI providers to carry out generation or scoring. See the published privacy policy for service data practices, terms, and plans. Contact info@prompeteer.com for support or privacy questions. Disconnect the MCP connection in the client when it is no longer needed.
Use Node.js 22.14.0 or later. The source lock pins the maintained proxy and its dependencies. Build copies those unmodified runtime files, with their licenses, into the release package.
npm ci --ignore-scripts
npm run build npm run check npm test npm audit npm pack --dry-run --json --ignore-scripts
The explicit build uses mcp-remote 0.8.6 and patched qs 6.16.0. Tests run protocol forwarding and startup-disconnect checks against local fixtures; they do not generate prompts or make paid service calls. The vendor/ build output is included in npm releases and is not committed to this repository.
The bridge wrapper and documentation in this repository are MIT licensed. The hosted Prompeteer platform is proprietary.