"Guide to Creating React Components" matching MCP servers:

Enables agents to serve interactive Auth0 Forms as MCP Apps in a sandboxed iframe, letting users complete sign-up, consent, profile, or payment flows while the agent only receives completion status.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Enables authenticated MCP clients to list, read, prepare, and create support tickets through the existing HTTP API, with OAuth verification, company isolation, and safe write retries.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

Gemmein is the backend for AI-powered products: sign-in, data under seven access rules, AI tools priced in credits, and payments through Stripe, a relay, or RevenueCat. The @gemmein/mcp server gives a coding agent that whole contract as tools: the builder guide, the SDK reference, doc search, rule and error explainers, and check_integration, a live check of an app's access boundaries.

An MCP server for Password Pusher that allows creating, previewing, and managing self-destructing secret links without retrieving the secret payload.

Health check for React Native and Expo apps. One command, no install, no account.

Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.

MCP server for creating and managing SOPS-encrypted secret files using age encryption, enabling AI agents to generate and manage secrets without ever seeing plaintext values.

Enables AI assistants to drive the UTMStack SIEM/XDR platform for triaging alerts, searching logs, running SQL, managing incidents, inspecting agents, creating/deleting correlation rules, managing data filters, and running commands on endpoints.

A deliberately insecure note management server designed to test security scanners and train developers by demonstrating common MCP vulnerabilities. It provides tools for creating, searching, and exporting notes while featuring intentional flaws like prompt injection and data leakage.

Enables users to manage self-sovereign identity credentials by creating schemas, issuing verifiable credentials, generating verification QR codes, and checking verification status via the Empe SSI ecosystem.

An MCP server that enables AI agents to manage a TODO list with user authentication via Stytch. It provides tools for creating, reading, updating, and deleting TODO items while handling identity and authorization.

Provides security assessment methodology, tool documentation, and step-by-step workflows to guide AI agents through vulnerability scanning, static analysis, and penetration testing of applications and URLs.

Enables AI assistants to manage PocketBase databases by creating and inspecting collections, performing record CRUD with filters and pagination, authenticating and managing users, and backing up databases through the Model Context Protocol.

Gives MCP clients access to a Mail.ru mailbox for reading, searching, and filtering messages, creating folders, moving, archiving, and deleting mail, and preparing or sending replies, with mass operations preceded by dry runs and deletions kept reversible. It also handles Mail.ru-specific quirks such as modified UTF-7 folder names and dropped long IMAP sessions, and restricts sending to an allowlist of recipients.

Enables querying SAP Security Note metadata including Patch Day releases, CVSS scores, CVEs, affected components, and actively-exploited status via the Model Context Protocol.

Enables AI agents to securely perform privileged actions like creating GitHub issues by minting short-lived, single-purpose tokens on demand, with policy enforcement and audit logging.

Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.

Fetches GitHub Code Scanning alerts and applies minimal local patches to fix vulnerabilities, without creating branches, commits, or PRs.

Provides governed tools for evaluating proposed agent actions against policy, classifying risk, and creating structured governance and audit records, while pausing consequential steps for explicit human approval. This lets agentic workflows run under traceable, least-privilege control rather than unrestricted automation.

Enables creating release manifests and verifying that local release folders or public HTTPS bytes match the manifest, using read-only MCP tools.

Enables AI agents to request and retrieve credentials from a Bitwarden-compatible vault through MCP tools, with human approvals, short-lived grants, audit logging, and optional OAuth 2.1 authentication. It also supports creating secrets and injecting them into child processes without exposing them to the model.

Enables AI agents to manage temporary password-gated public tunnels on Windows, including creating, starting, stopping, updating, and deleting tunnels, setting passwords, and checking for updates.

Connects a Discord bot to Claude Code, forwarding incoming Discord messages to the assistant and exposing tools to reply, react, edit messages, fetch channel history, and download attachments. Adds multi-user access control with per-sender roles, an owner flag, request-bound tool permissions enforced by a PreToolUse hook, and per-role policies, limits, and audit logging.

Enables MCP clients to manage PocketBase databases by creating collections, performing record CRUD with pagination and relation expansion, handling user authentication, and backing up data.

Enables managing Firefox Relay masks (random and domain) via MCP tools, including listing, creating, updating, and disabling masks.

Provides read-only, multi-vendor network device interaction, configuration auditing against vendor-guide rules, and safe diffing of proposed changes for AI agents to inspect and analyze network infrastructure without any commit or write capability.

Enables MCP clients to connect over stateless Streamable HTTP and authenticate through an existing OAuth 2.1 / OpenID Connect authorization server, with JWT validation, per-tool scope enforcement, and step-up challenges. It ships example scoped tools for reading and creating per-user notes that developers replace with their own.

MCP server for managing Fortinet FortiAppSec (WAF as a Service) via AI agents. Supports listing, creating, and deleting WAF applications and templates.