"How to run C++ code" matching MCP connectors:

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.

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.

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

Counterparty risk transfer for the agent economy: agents post bonds behind their promises, wronged c

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

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

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

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

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

Bi-temporal memory-as-a-service and paid agent labor. Pay-per-call USDC via x402; signed receipts.

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

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

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