"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.

Enables coding agents to query a local OTLP trace collector: list recent traces, inspect span trees and critical paths, flag SQL N+1 loops, surface gen_ai metrics, and diagnose slow traces with a local OpenAI-compatible model.

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

One todo list every AI coding agent can write to — Claude Code, Codex, Cursor — scoped per project, local-first, self-hostable.

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

Enables AI assistants and coding agents to query a normalized multi-cloud catalog for compute, database, serverless, and AI-model token pricing, estimate full-stack workload architecture costs, and look up data-center availability and compliance pointers directly within their workflows.

Enables external control of Cisco Packet Tracer 9.0 through MCP, allowing users to create network topologies, configure routers, and launch simulations from MCP clients.

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.

Enables LLMs to plan, validate, generate, and deploy Cisco Packet Tracer network topologies from natural-language prompts, including routing, switching, DHCP, VLANs, security, IPv6, wireless, live deployment, verification, and .pkt project management.

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

Enables LLMs to turn natural-language prompts into validated, deployed Cisco network topologies, including routing, switching, DHCP, VLANs, security auditing, and live device inspection.

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 testing whether a ChatGPT account can render and interact with custom MCP widgets, using a mock spending card with buttons that trigger tool calls and update state.

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.