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

Read-only MCP server for turva.dev, an agent-readiness audit and advisory service.

Coordination Intelligence: AI infrastructure coordination dynamics across geopolitical blocs

Deterministic market-state engine for trading agents — state, gate, coordinates, with receipts.

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.

Verifiable, deterministic risk math for autonomous agents; re-runnable proof on every answer.

Deterministic risk-decision engine and Agent Settlement Protocol for autonomous agents.

Market regime, execution-cost, bar-QC and backtest-audit tools for agents. Pay per call via x402.

Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.

Search engine for AI agents to find MCP servers, A2A agents, and skills on their own.

Passive income opportunity scanner. Yield analysis and portfolio optimization for AI agents.

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

Runtime permission, approval, and audit layer for AI agent tool execution.

Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.

Precision math engine for AI agents. 203 exact methods. Zero hallucination.

Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.

Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.

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.

Scheduling and booking engine for AI agents. Check availability, hold slots, and confirm appointments with two-phase booking and conflict-free resource management.