"Answer" matching MCP servers:

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

A host-agnostic model council that routes tasks across multiple AI workers (MCP, CLI, API) and returns one unified answer.

Make AI apps answer your way, check with you before acting, and get approvals on your phone.

An MCP server that acts as a governed customer-support tool, resolving questions only when the knowledge base supports a cited, grounded answer and honestly escalating everything else with provenance and evidence.

Enables orchestrating a panel of frontier AI models that independently propose, critique, revise, and converge on a single agreed answer to a problem, using existing vendor subscriptions or API keys.

Enables AI agents to initiate and control outbound telephone calls and answer inbound calls through Telnyx and LiveKit, with realtime voice conversations powered by Gemini Live or OpenAI Realtime.

Enables AI agents to send LINE notifications and request human approval, waiting for button or free-text replies before continuing. Agents can branch on the returned answer or resume waiting for pending responses.

MCP server that coordinates multiple AI specialists (SQL database, document RAG, and web research) using LangGraph, routing each question to the relevant agents and synthesizing their responses into a single answer with honest confidence flags.

Enables agents to pause and ask a human for a decision, then resume with the answer, via a self-hosted SQLite-backed MCP server with console or phone interfaces.

Enables AI agents to analyze and interact with Android phone screens via ADB, using the AutoGLM model to answer queries about screen content and coordinates.

Provides a local groundedness verifier as an MCP server, returning a verdict on whether a draft answer is supported by provided document excerpts.

Enables MCP-connected agents to resample reasoning at varied temperatures, deduplicate semantically equivalent outputs, and select a confidence-weighted majority-vote answer.

Enables agents to file structured asks and park when they need a human, so people can answer blockers, grills, and secret requests from one queue while secrets stay out of model context.

Fans out a question to multiple frontier models in parallel, optionally deliberates to consensus, and returns one decided answer from the command line or any MCP-capable coding harness.

Enables users to leverage a mixture-of-agents architecture where multiple AI models discuss a question in parallel and a president model synthesizes the best answer.

Enables inter-agent communication via RabbitMQ, allowing agents to ask and answer questions routed by topic.

Lets an AI agent ask its owner first, on their phone, before doing something irreversible: ask_approval blocks until a person answers and distinguishes DENIED from NO ANSWER, so a timeout is never read as consent. send_notification covers one-way alerts with priorities and quiet hours.

Two AIs. One answer. ChatGPT and Claude discuss with each other until they agree, through your own signed-in CLIs: no API keys. Both read your project (never change it) and search the web. Plugin for Claude Code, Codex, Claude Desktop and the ChatGPT app.

Enables a coding agent to resolve technical clarification questions by automatically requesting answers from Claude Sonnet and Codex, comparing them with an OpenAI judge, and returning the selected answer to Grok.