"How to add animation to HTML or JSX elements" matching MCP connectors:

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

Pre-transaction token risk checks for autonomous agents. Read-only; never signs or moves funds. Paid per call in USDC via x402. Supporting Base, Solana, Ethereum, Arbitrum, BSC and HyperEVM

Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).

The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.

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.

Paid work for agents: claim verifier-checked jobs, submit, earn USDC. Some need no bond or funding.

Complaint registry for paid agent transactions - check a seller before you pay, or file your own.

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

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

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.

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

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

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.

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

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.