"Information about Rust" matching MCP connectors:
Matching Connector Tools:
Decay-weighted reputation + tamper-evident trust attestations for the agent economy.
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Trust + receipt layer for x402 agents on Solana: free preflight + paid signed V6 trust receipt.
Post-quantum, tamper-evident receipts for agent actions. Ed25519 + ML-DSA-65, offline verify.
Read-only Remote MCP for externally grounded AI agent trust receipts.
Trust Graduation gate: Claude can do real work once Mission decides what it is allowed to do.
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Trust infrastructure for AI agents. Portable reputation (JTS 0-5), agent discovery, vouching.
Agentic identity trust: precision decisioning, cryptographic release tokens, hash-chained proof
Agent registry with Nostr identity, reputation, escrow, observability, and Lightning payments.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Entity verification, sanctions screening, and trust scoring for AI agents.
Trustless XRPL escrow oracle for AI agents. Create jobs, verify work, release XRP/RLUSD payments.
Trust & settlement for AI agents: DID, ZK reputation, audit, USDC/USDCx/USAD/ALEO. First DID free.
Gives your AI assistant persistent memory and intelligence about your work patterns.
Semilattice lets agents make predictions about audiences for content testing and decision making.