Server data from the Official MCP Registry
Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.
Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.
Remote endpoints: streamable-http: https://api.revelica.com/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-revelica-revelica": {
"url": "https://api.revelica.com/mcp"
}
}
}From the project's GitHub README.
Official Revelica plugin for AI coding tools — provides MCP-connected skills for product intelligence. Follows the Agent Skills open standard, compatible with Claude Code, Cursor, Gemini CLI, OpenAI Codex, and more.
revelica/skills
├── .claude-plugin/
│ ├── marketplace.json # Claude Code marketplace catalog
│ ├── plugin.json # Claude Code plugin manifest
│ └── mcp.json # MCP config for Claude Code plugin
├── .cursor-plugin/
│ └── plugin.json # Cursor plugin manifest
├── skills/ # Skill definitions (Agent Skills open standard)
│ ├── product-for-coding-agents/ # Product layer for coding agents (orientation)
│ └── write-spec/ # Author a feature spec attached to an idea
├── server.json # MCP registry manifest (registry.modelcontextprotocol.io)
├── .mcp.json # MCP config for Cursor/Gemini
└── gemini-extension.json # Gemini CLI extension manifest
/plugin marketplace add revelica/skills
/plugin install revelica@revelica
Skills are model-invoked — Claude automatically uses them based on context. The MCP server is registered automatically.
Install via the .cursor-plugin/plugin.json manifest. Cursor will discover skills from
the skills/ directory and connect to the MCP server via .mcp.json automatically.
gemini extensions install revelica/skills
The gemini-extension.json manifest registers both skills and the MCP server.
These tools are provided by the Revelica MCP server and callable from any skill:
| Tool | Description |
|---|---|
query | Search the workspace knowledge base — artifacts, entities, schemas. Filter by artifact_type, control detail with depth. |
read | Read a single artifact or entity in full by id. |
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 skill's instructions and prefetched workspace data. |
All tools require OAuth authentication and enforce Supabase RLS — users only see their own workspace's data.
| Skill | Description |
|---|---|
product-for-coding-agents | Orientation for a coding agent: read the idea/spec/UX behind the code, write high-level results (impl docs, PRs, tested feasibility assumptions, ideas, sources) back. |
write-spec | Author a feature spec attached to an idea, following the Revelica spec template — incremental section-by-section writes that fit coding-agent tool-call budgets. |
Create a folder under skills/:
mkdir skills/my-skill
touch skills/my-skill/SKILL.md
Write SKILL.md following the Agent Skills spec:
---
name: my-skill
description: What this skill does and when to use it.
compatibility: Requires Revelica MCP server (query, read, create, update tools)
---
Instructions for the agent...
Commit and push. Users get the update by running:
/plugin update revelica@revelica
No backend changes needed unless the skill requires a new MCP tool.
Revelica is an AI-native product discovery platform. It helps product managers create customer insights, competitive analysis, and validated specs that feed into their AI development workflow.
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