"GSK" matching MCP servers:

Enables AI assistants to query hundreds of models across OpenAI, Google, and OpenRouter, with model discovery, deep-research jobs, and image generation.

Enables MCP clients to send raw text prompts to inexpensive LLM models via the Devin/Windsurf backend, returning answers in result files to avoid context bloat, with support for multi-turn sessions and model discovery.

Enables coding agents to request guarded code and architecture reasoning from multiple AI models through a single MCP server, with modes for direct answers, parallel councils, ordered chains, and structured debates, plus reusable context and audit tracing.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

MCP server for querying PanDA documentation, analyzing job errors, and retrieving JSON data using multiple AI models.

Enables Claude to invoke third-party models from OpenRouter as tools mid-conversation, including sticky multi-model chat history and model discovery.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

An MCP server that connects to OpenRouter's API to provide Perplexity's models (Sonar, Sonar Deep Research, Sonar Reasoning) for use with any MCP-compatible client.

An MCP server that queries ChatGPT via the Codex CLI with real file context, read-only, and no length limits, enabling second opinions grounded in actual files.

Streams real-time log context from Amazon MSK to a Bedrock AI agent for anomaly detection and root cause analysis. Enables AI-powered monitoring with WebSocket push and IAM authorization.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.