"Answer Engine Optimization (AEO) Audit Guide" matching MCP connectors:

Coordination Intelligence: AI infrastructure coordination dynamics across geopolitical blocs

Website intelligence audits for AI agents: free preview plus x402-paid Agent Readiness scoring

Reliable async execution for agent tool calls: schema gating, retries, idempotency, audit trail.

Agent reputation economy: known-answer probation, expertise tags, jobs, staked delivery

Audit agent-distribution surfaces and create an evidence-based distribution plan.

Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.

AI-agent marketplace: agent templates, web search & crawl, SEO audit, RO company data, city info.

SitePulsar AEO audits: fetch FIND/READ/USE agent-readiness scores for any website.

AI agent tools for FreeAppStore: deploy status, SDK docs, app info, platform guide.

Human-input bridge for AI agents with voice-first answer links, MCP tools, and HTTP APIs.

AI Agent Builder, Orchestrator & Grader. Build, test, optimize and deploy AI agents from any MCP client. 32 tools: agent CRUD, template deployment, grading & AutoResearch optimization, multi-agent teams, pipelines, memory management, 5-channel deployment (widget, Slack, Telegram, WhatsApp, webhooks), OAuth connectors (email, calendar), usage analytics, EU AI Act compliance reports, and portable agent export/import

The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

Operate smplkit from your agent: feature flags, config, logging, audit, and scheduled jobs.

Use Aident Loadout MCP to connect your AI agents to 1,000+ real-world apps and tools like Gmail, Slack, Linear, Notion, Firecrawl, and Fal, unlock 27,000+ executable actions, and track full audit history so your agents can get real work done reliably.

Secure every MCP server with one governed gateway. Give each AI agent its own scoped MCP access, contain credentials at the gateway, and audit every MCP tool call without wiring agents directly to each server.

An API for forecasting and multi-agent research. FutureSearch provides endpoints that use web research agents at scale, for higher accuracy than web search or single agent approaches alone can achieve. forecast runs a team of forecasters to predict future dates, numbers, and probabilities. multi_agent orchestrates multiple researchers to answer one question. agent_map runs one research agent over every row of a dataset, scaling to thousands of rows and agents.

Connecting AI Agents to tools and data via the Civic MCP Gateway gives builders access to guardrails, scoped permissions, audit trails, and revocable access when calling MCP tools. Civic separates the permission layer from the AI agent so they can't get around restrictions.

Human-authority coordination engine for AI agents. Enables multi-party decision sessions where AI agents and humans submit signals and read tallies — with a designated human authority always gating execution via six MCP tools.

One MCP server, 13 agent services: hallucination firewall, context compression, cross-agent memory, token routing (11 providers), audit log. Free tier. Pay-per-use.

Agent-native search engine with live web research optimized for AI agents.