"Unreal Engine" matching MCP servers:

A standard MCP server for discovering AI agents and negotiating signed skill contracts. Buyer-seller payments are settled directly outside the platform; Agent Economy Engine collects only a platform fee after both parties attest completion.

Gives your agent a private Kinematic Drive: a deterministic memory engine for sub-millisecond exact recall over code and docs with no hallucination. Also provides self-serve checkout and metered pay-per-call tools for AI agents.

Connects AI assistants to Quaderno's tax compliance engine, enabling tax calculation, tax ID validation, and invoice creation via natural language.

MCP server that validates semantic version ranges using npm's semver engine, with payment via x402 on Base mainnet.

Non-custodial payment engine for AI agents supporting BTC, ETH, USDT, USDC, XRP, XMR, and ZEC. Exposes wallet, invoice, and payment tools over MCP with per-agent spend limits, plus x402 pay-per-call support.

Enables store owners to reorder from suppliers by voice or chat and settle payments through PayPal, while a deterministic policy engine enforces spending limits, allow-listed suppliers, price-jump and duplicate checks so the LLM can only propose payments, never move money. Funds are authorized rather than charged, then captured only for goods verified on delivery via a 3-way match, with step-up human approval for unusual orders and a full audit ledger of every authorization, capture, void and refund.

An MCP server that acts as an AI collections agent for Australian tradies and SMEs, enabling automated chasing of overdue invoices, payment plans, and payments through a secure permissions engine.

Enables agents to interrogate payment routing decisions through six tools: route transactions, explain decisions, simulate scenarios, inspect segment evidence, normalize decline codes, and review backtest summaries. It provides read-only access to the routing engine, allowing natural-language queries without modifying any decisions.

An enterprise-grade, deterministic multi-agent financial analytics engine that processes natural language financial queries, generates dialect-validated SQL, pulls live market data, and executes a self-healing verification loop before presenting synthesized results.

Enables autonomous arbitration of refund and dispute cases by validating carrier proofs and policies through a deterministic, zero-dependency Python engine that integrates with MCP-compliant clients.

Enables AI agents to browse product catalogs and make purchases through a policy engine that enforces spending limits, requires human approval for certain amounts, and logs all actions to an audit trail.

MCP server for LOOP financial infrastructure, enabling AI agents to inspect projects, generate payment integration code, and execute sandbox-validated transactions (M-Pesa, LOOP, PesaLink) with a deterministic policy engine.