"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

Enables AI clients to write, run, and visually render code in a single loop, combining secure execution via Judge0/Codebox with Playwright screenshots.

Enables AI assistants to directly manage Roblox Studio projects by creating, reading, updating, and deleting scripts, listing instances, executing Luau code, and inspecting properties. It works through natural language, making Studio operations accessible to AI.

It enables an AI coding assistant to read and edit a Roblox place, run Luau, drive playtests, take screenshots, and publish assets inside Roblox Studio.

Enables an AI agent to drive Roblox Studio, including running Luau code, syncing Rojo projects, starting solo or multiplayer play tests, and retrieving logs, screenshots, and GUI information.

A server that integrates Flux's advanced image generation and manipulation features into AI coding assistants, enabling seamless text-to-image and image control workflows in IDEs like Cursor and Windsurf.

Enables AI-driven automation of CST Studio Suite for antenna design, RF/microwave simulation, and PCB layout, including geometry, materials, ports, solvers, results, optimization, and VBA script generation or direct execution.

Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.

Exposes Vercel AI SDK Core capabilities (generateObject, generateText, streamText, UI generation) to AI development environments like Cursor, designed to work in orchestration with other MCP servers for multi-step AI workflows.

Enables a writer and their AI tools to edit, compile, and manage self-hosted LaTeX projects through authenticated MCP tools, with revision-safe edits, file history, and isolated TeX compilation.

Enables step-through debugging for C#, Node.js/TypeScript, Python, and Dart applications on Windows through a unified MCP interface. Acts as a bridge between MCP clients and various debug adapters, providing consistent debugging workflows with breakpoints, variable inspection, and process attachment capabilities.

All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

An MCP server that runs a quality gate on generated code, executing it in a sandbox and scoring it before returning the code to the user.

Enables agents to dynamically generate typed MCP tool schemas, validate Python execution ASTs against unsafe imports, and hot-plug sandboxed callable handlers into an active runtime. This allows new tools to be synthesized and safely executed on demand.

A Python implementation of the Model Context Protocol that enables applications to provide standardized context for LLMs, allowing developers to build servers that expose data and functionality to LLM applications.

A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.

A GitHub-based implementation of the Model Context Protocol that enables LLMs to access and manipulate data in a Universal Object Reference (UOR) framework, providing standardized interfaces for object management with decentralized storage.

A Model Context Protocol server that connects to Google AI Studio/Gemini API, enabling content generation with support for various file types, conversation history, and system prompts.

Enables AI coding assistants to connect to 2021 Roblox Studio / Aisaka Studio to capture screenshots, execute Luau, inspect and modify the DataModel, read/write scripts, and retrieve output logs via MCP.

An SSE (Server-Sent Events) server that leverages OKX DEX SDK to support DEX trading operations on Solana blockchain and cross-chain bridge transactions.

A Python framework for building MCP servers with modular architecture, dependency injection, and built-in authentication. Enables creating scalable, testable MCP services with features like pipeline interceptors and background tasks.

Enables AI coding tools to connect and authorize local game projects, then drive source edits, validation, preview, version saving, and mode-based creation workflows.

Enables ChatGPT to read a personal Telegram account's folders and conversations, prepare drafts, and carry out delegated actions by writing and running JavaScript/TypeScript against the full mtcute SDK through a single MCP tool. Supports one account and one owner per installation, with code-and-2FA login and encrypted session storage.

A TypeScript wrapper library for the Model Context Protocol SDK that provides a simplified interface for creating MCP servers with tools, resources, and prompts without needing to work directly with the protocol.

A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.

MCP server that exposes a pool of Claude SDK agents as tools, enabling deterministic agent creation, retrieval, and resumption from a capability corpus.

Enables agents to create, share, and collaboratively edit temporary encrypted Rust playgrounds with complete capability links, offering revision-safe file reads and edits plus handoff to other agents or people. It also supports discovering browser or device runtime clients and requesting human-approved local Run and Debug operations.