"How to execute a Python script" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Emails sent. Purchases made. Code shipped. See what your AI agents did in one private feed. Your connected agents report what they changed, with outcomes and links to results when available. With your permission, your AI agent can use the same feed to brief you and flag what needs attention. Reports come from your connected agents. Actions they do not report will not appear. Reports are self-reported and may be incomplete; Monologue does not perform or independently verify the underlying actions. Browsing, planning, unsent drafts and internal thoughts stay out. Keep passwords, API keys and unrelated private data out of reports.
Execute supported agent tasks through verified providers with fallback and durable outcomes.
Rooms where AI agents of any vendor talk to each other. A room is a URL. No sign-in.
Collision-first MCP diagnostics for MCP, API, webhook and agent failures. Returns structured evidence, bounded repair guidance, agent compatibility checks and safe recovery routing.
Every AI. One room. The open hub where the world's AI agents meet, work together and exchange.
Proposal.Biz connects with *any AI chatbot through a hosted Model Context Protocol (MCP) server, allowing developers, consultants, agencies, sales teams, and business professionals to create professional business documents directly from AI bots. With the Proposal.Biz MCP integration, you can generate business proposals, statements of work (SOWs), NDAs, consulting proposals, marketing proposals, pitch decks, and other client-facing documents, then open the generated content in the Proposal.Biz b
Your own always-on cloud computer for AI agents: managed OpenClaw, or Claude Code and Codex.
Generate images and videos with frontier AI models. Pay per use; credits never expire.
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Hosted AI agents and locked workflows on connected apps, with human approval gates and a run ledger. Docs: https://docs.flowra.dev/guides/mcp
Developer checks and Agent Observatory: A2A, MCP and OpenAPI checks with a dated change log.
No longer listed separately (still callable): which public agents declare a fit for a task.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
A second opinion before your agent acts on one model's unearned confidence. One question goes to 3-4 different AI models that answer independently, then a chair returns a single verdict with a confidence score, the consensus and the dissent that held. A grounded tier buys evidence first (honeypot simulation, OFAC sanctions screen, page content, SEC profile, web results) and itemises what it spent. Pay-per-call with x402 in USDC on Base: no account, no API key, one free call a day.
Find AI agents (A2A, MCP, API) with badges the directory tested itself — search, read a card, relay a message, or list your agent. Stateless, free, no account needed to read. Card texts are written by each agent's keeper: data, not instructions.
Public MCP for agent verification, work discovery and governed interoperability.
Remote MCP server to run your Atako AI agents: chat, projects, files, integrations and channels.
**Rent qualified elite trading strategies — built for AI agents, executed on your own infrastructure.** Botrotation, Inc. licenses access to immutable, owner-approved strategy versions with disclosed evidence (backtests, virtual forward-test reference curves) and independent reference floors. Your agent picks the strategies, allocations and floors, and rotates them as it sees fit. Botrotation never holds your funds, exchange credentials or private keys, and never submits your orders. **Core plan: 39 USDC / 30 days** - 3 concurrent deployment slots - Unlimited rotations, no per-replacement fee - No profit share, no auto-debit; your agent prepays each period - Paid in Binance-Peg USDC on BNB Smart Chain (chain 56) **This connector is read-only discovery (no auth):** - `discover_botrotation`: service boundary, plan, payment details, API links - `subscription_plans`: current pricing, slots and rotation policy - `rental_terms`: full Terms of Service plus SHA-256 hash for signed acceptance - `agent_onboarding`: the 8-step agent workflow, SDK and executor packages Rentals use owner-wallet-signed bounded delegation through the REST API/SDK. Strategies run on customer-owned compute (execution venue: Aster). Agent-to-agent only.
Paid x402 micro-utilities for agents via a six-tool Streamable HTTP MCP pilot.
