"Render" matching MCP servers:

Enables ChatGPT and Codex to securely inspect a QQ Mail mailbox through read-only tools for identity, connection status, unread messages, search, and message reading. Uses OAuth 2.1/PKCE and IMAP without sending, deleting, moving, or marking mail.

Give your AI agents direct access to live honeypot threat intelligence. Look up attacker IPs, browse indicators of compromise (IOCs), inspect captured credentials and malware payloads, profile threat actors, and render a real-time global attack map — all from Claude, Cursor, or any MCP-compatible client.

A local MCP server that parses Terraform .tfstate files and lets AI agents audit enterprise infrastructure for security misconfigurations without requiring direct cloud credentials.

A FastMCP server template with full MCP authentication via Descope, designed for easy deployment on Render. It provides a foundation for building secure, authenticated MCP servers with scope-based access control.

Transforms malicious input (e.g., SQL injection, XSS) into absurd hiking boot advertisements, confusing attackers while logging everything.

Enables users to deploy a minimal Model Context Protocol server on Render, connect MCP clients with bearer-token authentication, and add custom tools callable through the MCP endpoint.

Enables testing and validation of MCP OAuth clients by observing whether they use Client ID Metadata Documents (CIMD), fall back to Dynamic Client Registration, or send static client IDs via a fake OAuth server and dashboard.

FastMCP server for managing a self-hosted Infisical instance, exposing tools to create, read, update, and delete projects, environments, folders, and secrets, and to render .env and shell-export formats.

Enables MCP clients to query and triage security findings published to BigQuery and correlate them with execution, sandbox, and diagnostic traces in Cloud Logging. Exposes tools, resources, and prompts for filtering issues by severity, status, repository, or CWE, retrieving patch diffs and verification results, and diagnosing why a remediation or verification run failed.