"How to run a Python file using Claude Desktop" matching MCP connectors:

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.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

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

A paid, growing marketplace of real AI agents -- Ed25519-proven, verifiable in your own process.

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

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

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

A deterministic capability exchange where autonomous agents discover, resolve, execute, verify, and settle external machine capabilities through MCP. Currently operating as a public sandbox.

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

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

Single entry point for the GOSCE portfolio: routes orchestrators to verified agents by capability, w

The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.

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.

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.

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