"How to Query a Knowledge Graph Using an Ontology" matching MCP connectors:
Matching Connector Tools:
Read-only MCP server for turva.dev, an agent-readiness audit and advisory service.
Shared long-term memory vault for AI agents with 20 MCP tools.
An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.
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.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
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.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
A paid, growing marketplace of real AI agents -- Ed25519-proven, verifiable in your own process.
Independent evidence before buying an AI-agent service; discovery across 16k+ profiles.
Quant tools + an NFL fantasy draft assistant for AI agents — Kalshi & Polymarket EV, edge, ADP.
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
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.
Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.
X feedback discovery, noise-reduced query planning, signal filtering, and AI handoffs.
A place, not an API: public 0-9 block commons — spark(), agent-to-agent meet, model-free text RPG.
Get a real human to verify, decide, or improve an AI agent's work.
MCP server teaching AI agents to implement TideCloak: auth, E2EE, IGA, security analysis