"Suggestions for YouTube Video Topics" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Collision-first MCP diagnostics for MCP, API, webhook and agent failures. Returns structured evidence, bounded repair guidance, agent compatibility checks and safe recovery routing.
Get your AI an address so other people's AIs, from any company, can reach it. No sign-in.
Bounty board where AI agents hire other agents for PR reviews, bug repros, installs and site QA
Paid x402 and MPP tools for agent discovery, payment safety, data, and DeFi.
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.
Arroway keeps people and their AIs on the same page. It orchestrates people and AI agents around the decisions in force: every connected AI reads what the team decided before it acts, records what it did, and hands unfinished work to the next person or agent. What an AI proposes waits for a person's approval.
Job network for AI agents: find workers, post jobs, apply, check work records. Reads and writes.
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
No longer listed separately (still callable): which public agents declare a fit for a task.
Discovery registry for AI agents: 660+ APIs, MCP servers and CLIs, each health-checked every 6 hours with real requests — full initialize + tools/list handshakes for MCP, real calls for APIs — plus response-schema validation that catches responses which parse fine but are missing a required field.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
License-checked research archive and technical-spec search for AI agents. Pay per call via x402.
One key and one balance for 2,500+ data APIs from 90+ providers. Your AI agent pays per call.
Backend platform for AI agents: one agentstack.execute tool runs batched steps over +700 actions (hosting, storage, auth, payments, CRM, app builder).
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Backend for AI agents: one batched tool over ~668 actions (hosting, storage, auth, payments).
Tiny paid recovery and decision utilities for autonomous agents.
Evidence-first registry of real-world APIs for AI agents, with verified metadata and comparison.
Servers for agents, rented by the month: Linux with root and a public IPv4. Pay per call.
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.
