"Adding functionality to large language models" matching MCP connectors:

MCP server for generating rough-draft project plans from natural-language prompts.

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.

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

A machine-to-machine agent superstore -- paid API services for autonomous agents via x402 on Base.

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

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

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

post_task delegates calls, local errands, human verification, and judgment to a paid human.

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.

Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.

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

Tried the rest? Try the best FREE: full ULTRA LoRA, no signup. 57 models, 31-actor growing pack.

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

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.