Revelica

com.revelica由 revelica.com 发布官方发布者v1.0.0更新于 Nov 2, 2026

Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.

已验证Streamable HTTP可网页运行效率与工作流知识与记忆

概览

AI 生成的概览

远程 Revelica MCP 服务器，让助手查询、读取、创建和更新 Revelica 工作区中的产品想法、规格与研究资料。

可以做什么
  • 按条件搜索或筛选工作区内容，返回排序结果，指定类型时附带 schema 模板
  • 按 id 完整读取单个产物或实体，或用点号字段路径浏览子树
  • 创建新的产物与实体，内容按已注册 schema 校验
  • 以点路径方式对字段做局部更新
  • 列出并加载服务器端的产品工作流技能，例如围绕目标规划、构建赌注、撰写规格或分析客户访谈
适用场景
适合把客户研究、竞品分析、目标、赌注和产品规格放在 Revelica 的产品团队，让助手读取这些上下文并补充新的证据或计划。典型场景包括把访谈记录整理成快照、围绕目标规划工作，或把网址、文件、笔记保存为产品证据。
运行要求
需要一个 Revelica 工作区账号。服务器是远程 Streamable HTTP 端点，使用 OAuth 2.0 与动态客户端注册，无需 API 密钥，但客户端须支持 OAuth。官方仅发布并测试 Claude 与 OpenAI 宿主的插件，其他支持 Streamable HTTP 的客户端可直接连接。
安装前请注意
服务器可创建和更新工作区记录，助手的写入会改动真实产品数据。工具调用及其参数（包括你要求保存的产品数据）会发送到 Revelica 的服务器。OAuth 与行级安全将访问限制在本人工作区，数据处理受 Revelica 隐私政策与服务条款约束。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Revelica，将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.revelica%2Frevelica/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "revelica": {
      "type": "http",
      "url": "https://api.revelica.com/mcp"
    }
  }
}

README

[Revelica]

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.

Repository Structure

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

Installation by Platform

Claude Code

/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.

Cowork

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

codex plugin marketplace add revelica/skillscodex plugin add revelica@revelica

In ChatGPT, install Revelica from the plugin directory once it is listed.

Other clients

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.

Starting prompts

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:

SkillWhat it does
/revelica:setup-revelicaSet 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-outcomePlan 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:ingestionAdd insights to the knowledge graph: save a URL, file or note as product evidence, then choose the next useful work.
/revelica:interview-snapshotAnalyze a customer interview: turn a transcript into a snapshot and the customer problems worth solving.

What the plugin connects to and sends

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.

  • Sign-in: OAuth 2.0 with dynamic client registration, handled by your client. The plugin reads no credentials, tokens or files from your machine.
  • What it sends: the tool calls your agent makes (query, read, create, update, load_skill, list_skills) and their arguments, which carry the product data you ask it to save to your workspace.
  • What it receives: records from your own Revelica workspace, and skill instructions.

Nothing else is sent anywhere. See Privacy Policy for how Revelica handles your data.

Available MCP Tools

These tools are provided by the Revelica MCP server and callable from any skill:

ToolDescription
querySearch or filter the workspace by criteria. Returns ranked matches, plus the schema template when artifact_type is set.
readRead a single artifact or entity in full by id, or navigate to a subtree with a dotted field path.
createCreate new artifacts or entities. Content validated against registered schemas.
updateApply partial field-level updates via dot-path notation.
load_skillLoad a server skill's instructions, its readiness and a summary of the records it starts from. This does not itself execute a playbook.
list_skillsList 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.

Skills

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.

Updating

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-<version>.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.

Connecting the MCP Server Directly

If you'd rather connect the server without the plugin, add it as a remote MCP server / custom connector:

Server URLhttps://api.revelica.com/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.0 with dynamic client registration, so there's no API key to manage
PrerequisiteA Revelica workspace (sign up)

Server metadata is published at /.well-known/mcp/server-card.json.

Privacy Policy

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.

Support

License

Apache-2.0 © Revelica

About 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

来源：README.md，提交 372969e

工具

0
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版本历史

1
  1. v1.0.0最新Sep 16, 2026

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