"Pocket Casts" matching MCP servers:

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Turn your AI coding agent into a producer of interactive, narrated walkthroughs — code, whiteboard, and 3D casts, each a single self-contained HTML file that opens in any browser. Runs locally over npx.

MCP server for managing Pocket ID instances, providing 57 tools for user management, OIDC client configuration, group management, audit logs, and more.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

An MCP server that allows LLMs to create, configure, validate, and explain Cisco Packet Tracer network topologies. It provides a comprehensive suite of tools for generating deployment scripts, CLI configurations, and automated network troubleshooting.

A thin stdio-to-HTTPS proxy that connects local MCP clients to the hosted Voris MCP server, forwarding JSON-RPC messages verbatim.

Automatically converts JavaScript modules into MCP-compatible servers, making any JavaScript function accessible to AI systems through secure sandboxing with automatic type inference.

Provides tools to check DeepSeek account balance, list available models, and estimate costs from token usage, without proxying API calls.

Enables interaction with CATS (Complete Applicant Tracking System) API v3 through 163 tools across 17 dynamically-loadable toolsets, covering candidate management, job tracking, pipelines, companies, contacts, and complete recruiting workflows.