Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.
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://api.revelica.com/mcp在终端中运行这条命令
claude mcp add --transport http revelica https://api.revelica.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"revelica": {
"url": "https://api.revelica.com/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": {
"revelica": {
"type": "http",
"url": "https://api.revelica.com/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。
ChatGPT 只能连接互联网上的服务器:
https://api.revelica.com/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7日
注册名称已通过域名 revelica.com 验证(注册中心会核实域名所有权)
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。
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–,最新版本(1.0.0)于5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。
Revelica Skills
Revelica's plugin package connects an agent to shared product context: customer research, competitive analysis, goals, bets and product specs. It declares the Revelica MCP server, a setup skill and three starting skills. The full workflows live on the server, which names the one for each job in its instructions and loads it with load_skill.
There is one plugin, plugins/revelica/, with a manifest for each host beside it. Each host's catalog sits at the repository root, where that host looks for it. Installation and OAuth support depend on the client.
revelica/skills
├── plugins/revelica/ # The plugin, shared by every host │ ├── .claude-plugin/ # Claude plugin manifest and icon │ ├── .codex-plugin/ # OpenAI (ChatGPT and Codex) plugin manifest │ ├── .mcp.json # The Revelica MCP server │ ├── skills/ # Starting skills (also slash commands in Claude Code) │ └── assets/ # Brand icons ├── .claude-plugin/marketplace.json # Claude Code marketplace catalog ├── .agents/plugins/marketplace.json # Codex marketplace catalog ├── server.json # MCP registry manifest (registry.modelcontextprotocol.io) ├── scripts/package-openai.sh # Exports the portable ZIP for OpenAI's plugin portal ├── REVIEWING.md # Test setup for directory reviewers └── LICENSE # Apache-2.0
/plugin marketplace add revelica/skills
/plugin install revelica@revelica
The plugin bundles the starting skills and the MCP server configuration. Authorize the server connection in your client before using workspace tools.
Add https://api.revelica.com/mcp as a custom connector in your organization's settings. The server's instructions name the skill for each job, and list_skills lists the rest.
codex plugin marketplace add revelica/skills
codex plugin add revelica@revelica
In ChatGPT, install Revelica from the plugin directory once it is listed.
Cursor, Gemini CLI and any other client that speaks Streamable HTTP with OAuth can connect the server directly (see Connecting the MCP Server Directly). We only ship and test plugins for Claude and OpenAI hosts. Release 1.10.1 removed the Cursor and Gemini manifests, which nobody was testing.
The plugin adds a setup skill and three starting skills, the same starting points the Revelica app offers. In Claude Code each is also a slash command:
| Skill | What it does |
|---|---|
/revelica:setup-revelica | Set up Revelica on your own product: your business, a goal and a researched customer, then a first result and a handover to planning. ChatGPT runs it from its Set up prompt after install; in Claude, ask to "set up Revelica". |
/revelica:drive-product-outcome | Plan the work toward our goal: read the goal, its measurements, the active bets and their evidence, then recommend the next action and plan it as work. Sets up anything the workspace is missing along the way. |
/revelica:ingestion | Add insights to the knowledge graph: save a URL, file or note as product evidence, then choose the next useful work. |
/revelica:interview-snapshot | Analyze a customer interview: turn a transcript into a snapshot and the customer problems worth solving. |
The plugin runs no code on your machine. It declares one remote MCP server, https://api.revelica.com/mcp (Streamable HTTP), and bundles Markdown skills that start common work with it.
query, read, create, update, load_skill, list_skills) and their arguments, which carry the product data you ask it to save to your workspace.Nothing else is sent anywhere. See Privacy Policy for how Revelica handles your data.
These tools are provided by the Revelica MCP server and callable from any skill:
| Tool | Description |
|---|---|
query | Search or filter the workspace by criteria. Returns ranked matches, plus the schema template when artifact_type is set. |
read | Read a single artifact or entity in full by id, or navigate to a subtree with a dotted field path. |
create | Create new artifacts or entities. Content validated against registered schemas. |
update | Apply partial field-level updates via dot-path notation. |
load_skill | Load a server skill's instructions, its readiness and a summary of the records it starts from. This does not itself execute a playbook. |
list_skills | List the skills you can load, with each one's name, description and any required inputs. |
All tools require OAuth authentication and enforce Supabase row-level security, so users only see their own workspace's data.
The product workflows are skills on the connected Revelica MCP server: drive-product-outcome, frame-bet, write-product-spec, design-experiment, product-for-coding-agents and others. The server's instructions say which one fits which job, and list_skills shows the full catalog for the connected user.
An Idea is the product spec. Its story map, structured document and Markdown are representations of the same spec.
Loading a skill lets the current agent follow the workflow using the available tools; it does not start a server-side playbook. These tool-based workflows do not require a host to implement the skills-over-MCP extension.
Product workflow instructions live on the Revelica server, so the app and connected agents discover the same canonical workflow. The package's four skills share the names and descriptions of the server skills they start, and load the full workflow from the server with load_skill, so the workflow and the workspace readiness it reports are always current. Release 1.9.0 removed the bundled use-revelica and product-for-coding-agents routers: every supported Claude host shows the server's instructions, which carry the same routing.
Release 1.10.0 moved the plugin into plugins/revelica/, turned the commands into skills so every host can use them, and added the OpenAI manifest. Bump the version in every manifest together, including server.json, and the SERVER_VERSION constant the MCP server reports (revelica_agents/app/mcp_server/server.py in scryfast). Name releases Revelica X.Y.Z and list the targeted platforms in the release notes. Versions belong to Revelica across hosts; platform-specific changes share that version. For example, Revelica 1.10.4 adds Codex plugin metadata and portable packaging for Codex and ChatGPT.
Package updates and server deployments are separate. A newly documented server workflow must be deployed before a connected client can load it. Installing this package does not deploy server changes.
Run bash scripts/package-openai.sh to build dist/revelica-openai- .zip for OpenAI's submission portal. It exports the Codex manifest's listing fields under extensions.com.openai.interface in a portable root plugin.json, and exports .mcp.json as mcp.json with the Streamable HTTP transport name. Review cases and publication metadata are retained. The shared plugin's Claude and Codex compatibility manifests are not included in this public upload. Package validation does not complete the portal's reviewer access, demo, country targeting, scans, or attestations.
The exporter refuses to overwrite an existing archive. For a verification build, choose a new path: bash scripts/package-openai.sh --output /tmp/revelica-check.zip. ZIP entry timestamps and permissions are fixed, so builds with the same Python/zlib toolchain produce identical bytes. Run the packaging checks with python3 -m unittest discover -s scripts/tests -v.
Keep one private copy of the exact ZIP uploaded for review. dist/ stays ignored. Reviewer account details, recordings and submission notes belong outside this public repository. The public manifest contains reusable test cases; supply submission-specific workspace instructions and recording metadata privately when preparing an upload. A fresh export is not a replacement for the original upload.
The skills in plugins/revelica/skills/ carry the name, description and starting prompt of the server skill with the same name (scryfast revelica_agents/app/agents/revelica/skills/). Keep them in step when those change.
If you'd rather connect the server without the plugin, add it as a remote MCP server / custom connector:
| Server URL | https://api.revelica.com/mcp |
| Transport | Streamable HTTP |
| Authentication | OAuth 2.0 with dynamic client registration, so there's no API key to manage |
| Prerequisite | A Revelica workspace (sign up) |
Server metadata is published at /.well-known/mcp/server-card.json.
Revelica's privacy policy covers what data is collected, how it is used and stored, third-party sharing, retention, and how to contact us. It is published at revelica.com/privacy. Terms of service are at revelica.com/terms.
The MCP server reads and writes only the product data in your own Revelica workspace. Every request is authenticated with OAuth and enforced by Supabase row-level security, so a connected agent can never see another workspace's data. The server does not query your chat history, conversation summaries, or files.
Apache-2.0 © Revelica
Revelica is an AI-native product discovery platform. It helps product teams gather customer insights, perform competitive analysis, and experimentally validate ideas that feed into their AI development workflow.
🔗 Homepage with free Pro trial: https://revelica.com
🔗 Template library with playbooks, skills, and insight templates: https://revelica.com/templates
🔗 Free AI tools with no signup required: https://revelica.com/tools