Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.revelica.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http revelica https://api.revelica.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"revelica": {
"url": "https://api.revelica.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"revelica": {
"type": "http",
"url": "https://api.revelica.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.revelica.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 도메인 revelica.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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