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

Provides a local, collaborative visual document editor that works with MCP agents, enabling creation and editing of brochures, reports, and other designs with live synchronization, revision history, and portable exports.

Peer-to-peer WebRTC communication for AI agents, connecting autonomous coding agents over low-latency WebRTC DataChannels with room-based signaling, video stream bridging, and multi-agent coordination — all exposed as MCP tools.

Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.

Enables AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.

PERPBRAIN TypeScript SDK and MCP handler for Hyperliquid, with examples and a receipt verifier. Read-only and simulation-only.

Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.

Enables agents to submit precise visual directions by selecting interface elements, delivering versioned intent envelopes for human-verified changes.

Enables coding agents to run an evidence-backed visual QA loop for browser interfaces, including inspecting a running app, retrieving findings with screenshots, and rechecking only the captures affected by a fix.

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

MCP server for the OCPI SDK that enables AI-assisted communication with EV charging infrastructure via the Open Charge Point Interface protocol.

Provides 26 MCP tools for designing, previewing, and safely applying visual skins to DeepSeek Harness, enabling AI agents to perform complete skin workflows from image upload to theme application.

A standalone MCP server that exposes a narrow set of GitHub Issues tools for a single repository, securely handling a GitHub personal access token so agents never see the credential.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

An MCP server that searches the web for images, creates a numbered contact sheet for visual selection, and downloads the chosen images with provenance metadata. Works without an API key.

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.

A local TypeScript MCP server for macOS that connects to Chrome via CDP to search and download high-quality image candidates from curated sources like Unsplash, Pexels, and others for use in posters, wallpapers, and inspiration boards.

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

Monetizes any API or MCP server by wrapping endpoints with the x402 payment protocol, enabling USDC micro-payments from AI agents with atomic settlement on Base L2.

Enables AI assistants to interact with the Roark REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

A two-sided marketplace that enables AI agents to buy and sell datasets, prompt packs, and MCP tools using Bitcoin Lightning for instant settlement. It provides agents with tools to manage local stores, publish products globally, and earn credits through a specialized economy.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

A TypeScript SDK for building MCP servers and clients, providing standardized context provision for LLMs through tools, resources, and prompts.

Enables AI coding agents to see and interact with real Chrome pages through structured DOM inspection, targeted screenshots, recordings, and human-in-the-loop approvals across major coding-agent hosts.

Enables existing agents to access browser automation, Office document generation and conversion, terminal and code execution, charts, knowledge retrieval, media, computer control, maps, data, and integration tools through one MCP server with local runtime setup.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

Enables AI collaborators to read and edit a local-first groove studio session, including patterns, tracks, transport, presets, history, and WAV export.

Enables developers to build and test ChatGPT apps with the Model Context Protocol through a visual workbench, browser playground, validated tools, and embeddable UI resources.

MCP server that lets agents create, display, and export rich UI widgets (cards, dashboards, charts, forms) inline in conversations, with interactive iframe support in MCP Apps hosts and PNG image fallback for other clients.

A Model Context Protocol server that gives an LLM a structured visual layer to describe what exists and get back a clean, precise SVG diagram instead of ASCII art.