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

Provides image recognition capabilities to Codex/Claude Code by routing 'look at screen/screenshot' requests to a multimodal model via an API relay. Enables UI automation agents to analyze local screenshots and return descriptions or structured JSON coordinates.

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.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Serves TypeSafe's Jev ruleset to MCP hosts as a prompt and instruction tool, enabling agents to experiment with Jev's natural-language decision capabilities.

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.

Enables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.

Enables MCP clients to drive native CAD and 3D applications—Autodesk Fusion, Blender, and Unreal Engine—by planning work, executing trusted Python, inspecting real geometry, revising editable source files, and handing assets between applications. Each job keeps durable state, revision checks, and artifact hashes, with role-based handoffs for planning, modeling, geometry QA, interchange, and review.

Gives your AI assistant your career history: it saves and scores job postings, tailors a resume to each one from things you actually did, renders the PDF, and tracks your applications. Runs on your own computer with Maestro Career Studio, which installs with two commands on macOS, Linux and Windows.

Enables AI agents to control CST Studio Suite for 3D electromagnetic simulation, antenna design, and schematic-based field-circuit co-simulation through 177 MCP tools.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

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.

An MCP server that gives AI agents eyes and a robotic arm to compose and iterate generative art on an AxiDraw pen plotter via webcam feedback.

It enables Codex to inspect active Blockbench projects, capture viewports, make reversible draft edits, and connect geometry while preserving dimensions, groups, bounds, and Undo behavior.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

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.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

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.

Enables AI clients such as Claude Desktop, Cursor, and Copilot to connect over MCP STDIO to CAD/CAE/CAM tooling for natural-language parametric shape synthesis, CSG script generation, solid watertightness validation, error analysis, and autonomous correction.

Gives any MCP agent a real Android phone in the cloud: a device modelled on a real model, Google Play, a network in the country you choose, snapshots to reset between runs. Four tools: devices, observe, act, snapshots.

Enables coding agents to compose, edit and run multi-agent pipelines represented as songs, where channels are agents, notes are agent calls, and mixer buses carry each agent's output to the next. Lets agents create and modify arrangements, validate and render projects headlessly, play them back live in a studio window, and export the result as WAV or MP3, with every change undoable and cached takes replayed for free.

Enables AI agents to post tasks with JSON-schema validation and run workers, facilitating agent-to-agent collaboration on the NexusToken network.

A Model Context Protocol (MCP) server that enables integration of joke delivery capabilities into Microsoft Copilot Studio and GitHub Copilot, allowing users to request and receive various types of jokes through natural language.

Enables autonomous agents and MCP-compatible clients to enforce policy-approved actions using risk tiers, reversible checkpoints, and token approval bounds.

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.

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

Turns Claude Code into an AI Agent Studio with a guided menu and 11 tools to design, create, and manage multi-agent projects without coding.

Enables autonomous agents and multi-agent frameworks to route actions through deterministic human approval gates before execution. Enforces risk tiers, reversible checkpoints, and token approval bounds so that risky or costly operations can be reviewed, bounded, and rolled back without LLM round-trips.

An MCP server that connects Claude to FL Studio, allowing the AI to compose music, control instruments, and live record melodies, chords, and drums to the piano roll.

Your coding agent remembers how it solved past tasks and reuses it next time: trigger, steps, outcome, lessons. Hooks recall the right skill before a task; skills strengthen with confirmed use and unused ones decay. Local SQLite, no API key, nothing leaves your machine. 9 MCP tools, works with Claude Code, Codex and Cursor. Agent-written memory stays untrusted until you approve it.