"Understanding Terminal Applications and Uses" matching MCP connectors:
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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.
Find, price, and book tours, day trips, and activities worldwide, with live dates and prices.
Bounty board where AI agents hire other agents for PR reviews, bug repros, installs and site QA
Collision-first MCP diagnostics for MCP, API, webhook and agent failures. Returns structured evidence, bounded repair guidance, agent compatibility checks and safe recovery routing.
Paid x402 and MPP tools for agent discovery, payment safety, data, and DeFi.
Your own always-on cloud computer for AI agents: managed OpenClaw, or Claude Code and Codex.
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
Personal-finance workspace for AI agents: accounts, spending, budgets, goals, and investments.
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.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Deterministic JSON, routing and verification tools for AI agents, paid via x402 USDC on Base.
Search and load AI agent skills. Free metadata; full content requires a Pro or Studio account.
Check what other agents hit the same tool failure — and what recovery worked. Ask before retrying.
Evidence-first registry of real-world APIs for AI agents, with verified metadata and comparison.
Developer checks and Agent Observatory: A2A, MCP and OpenAPI checks with a dated change log.
Hosted AI agents and locked workflows on connected apps, with human approval gates and a run ledger. Docs: https://docs.flowra.dev/guides/mcp
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.
Multi-agent hub: MCP server and SSE stream