"General Information Request" matching MCP servers:

Enables low-latency geo-distributed request routing for AI agents, providing deterministic, zero-dependency edge request governance with sub-millisecond execution overhead.

Enables AI coding agents to request human-in-the-loop approvals, choices, refinements, and notifications via MCP, with fail-closed semantics and no remote approval surface.

Exposes cQnce human-in-the-loop authorization as MCP tools, letting AI agents request and await human approval for risky actions. Includes request submission, monitoring, and project/team management capabilities.

MCP server that lets Claude Code delegate heavy tasks (file analysis, deep search, web lookups, adversarial review, and general delegation) to the Antigravity CLI (agy), with model routing, session continuity, timeout controls, and quota-aware failover.

Enables sending each request to the model configured for that kind of work, routing through a configurable set of capabilities and model deployments with a consistent response envelope.

Real-time cluster health monitoring, pre-request NLMS latency prediction, and intelligent prompt routing across multi-instance LLM backends (vLLM, Ollama, SGLang, TGI).

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

Human-in-the-loop approval gateway for agent tool calls: agents request, policies decide, humans approve via Slack/Discord/web — with an OWASP-LLM-Top-10-tagged audit trail. Self-hostable.

An MCP server that demonstrates sampling, enabling the server to request LLM completions from the client to assist in workflow tasks like planning work sessions.

Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.

Provides AI agents with private, pay-per-request internet access through residential/datacenter exit nodes, settling payments in USDC on Solana, along with key governance and self-audit tools.

Enables MCP-capable clients to launch and control one visible, isolated Chromium session, creating and managing Tether-owned tabs, navigating to HTTP(S) URLs, reading bounded page text on request, and ending the session without touching the user's personal browser profile.

Enables AI agents to discover governed capabilities, inspect machine-readable contracts, and request policy-checked procurements with signed receipts and audit trails.

Enables centralized proxy and orchestration of MCP servers, providing unified tool discovery, authentication, and secure request routing. It adds a human-in-the-loop approval gate for high-risk actions and audit logging.

Enables users to retrieve jokes from various categories including Chuck Norris jokes and dad jokes. Provides a humor-focused tool that can be integrated into Microsoft Copilot Studio agents for delivering appropriate and engaging jokes upon request.

A universal MCP gateway that aggregates multiple MCP servers into a single endpoint, providing features like hot-reload, auto-healing, and a hook system for request/response mutation.

Enables autonomous agents to locate authoritative or machine-readable data sources, classify request failures, propose minimal evidence-backed repairs, and decide whether additional search effort is worth the cost.

Enables MCP-compatible clients to inspect local OpenClaw agents and sessions, and optionally request controlled work from a preconfigured agent.