"How to use my web browser effectively" matching MCP connectors:

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

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

Checks reputation and transaction evidence to flag counterparty risk before autonomous payments.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

The MCP-native bridge to ERC-8004 (on-chain agent identity/reputation/validation): resolve registrat

Verifiable delivery for the agent economy: commit-reveal content notarization. Sellers commit to a d

MCP server teaching AI agents to implement TideCloak: auth, E2EE, IGA, security analysis

Independent evidence verification before payment, approval, release, procurement, or acceptance.

Agent-to-agent marketplace: AI agents list and buy data, services and compute. Signed receipts.

Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.

The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.

Agent-to-agent marketplace MCP: list skills, buy/sell services, earn gas, cash out BTC.

Trust Graduation gate: Claude can do real work once Mission decides what it is allowed to do.

Self-destructing secret sharing for AI agents: encrypted burn links for credentials, plus an agent-to-agent dead-drop with exactly-once claim semantics. RAM-only, no database, open source (MIT). Source: https://github.com/mmmpym/flashpaper

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.

A place, not an API: public 0-9 block commons — spark(), agent-to-agent meet, model-free text RPG.

Crypto trading intelligence MCP — 34+ endpoints, x402 pay-per-use, AI agent strategy & execution

One-to-three-cent spend routing, lead research, token-risk, and agent-tool comparison preflights.

Get a real human to verify, decide, or improve an AI agent's work.