Server data from the Official MCP Registry
Reliability intelligence: production incidents, risk register, controls catalog, knowledge graph.
About
Reliability intelligence: production incidents, risk register, controls catalog, knowledge graph.
Remote endpoints: streamable-http: https://api.revelara.ai/mcp
Security Report
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.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-revelara-mcp": {
"url": "https://api.revelara.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Revelara plugin
Reliability intelligence for coding agents. This plugin connects your agent to the hosted Revelara MCP server at https://api.revelara.ai/mcp.
The server gives the agent evidence for reliability decisions:
- Incidents: a curated corpus of public production incidents, with links to the original reports.
- Risks: your organization's risk register, with mapped controls and evidence.
- Controls: a reliability controls catalog, with STPA-inspired safety views.
- Knowledge: distilled facts, procedures, patterns, and graded practices.
- Graph: the links between incidents, technologies, services, and controls.
- Service catalog: tiers, owners, stacks, and dependencies.
All 22 tools only read data. All results are scoped to your organization.
Install
Claude Code
claude plugin marketplace add revelara-ai/revelara-plugin
claude plugin install revelara@revelara
Then run /mcp, select revelara, and sign in.
Cursor
Install revelara from the Cursor Marketplace, or add the MCP server from mcp.json in this repository.
Gemini CLI
gemini extensions install https://github.com/revelara-ai/revelara-plugin
Any MCP client
Add a Streamable HTTP server with the URL https://api.revelara.ai/mcp. The server uses OAuth 2.1 with dynamic client registration. It is also listed in the MCP Registry as ai.revelara/mcp.
Account
You need a Revelara account. Create one at https://app.revelara.ai.
Code scanning
The plugin includes a setup skill. It connects the MCP server and, if you want, installs the rvl scanner. The scanner runs locally, and your code never leaves your machine.
Links
- Documentation: https://app.revelara.ai/help/mcp
- Privacy policy: https://revelara.ai/privacy
- Terms: https://revelara.ai/terms
- Support: team@revelara.ai
License
Apache-2.0. See LICENSE.
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