"An overview or definition of a code interpreter" matching MCP connectors:

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

Read-only MCP server for turva.dev, an agent-readiness audit and advisory service.

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).

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.

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.

Quant tools + an NFL fantasy draft assistant for AI agents — Kalshi & Polymarket EV, edge, ADP.

Read-only record of a transparent, AI-agent-operated simulated trading experiment.

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

Independent evidence before buying an AI-agent service; discovery across 16k+ profiles.

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

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

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.

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

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.

Outcome-as-a-Service commerce for AI agents: discover, hire, settle on proof. Live on devnet.

Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.