"1&1" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
Stealth scraping API for AI agents. Clean Markdown from any URL. x402 crypto payments.
Authenticated async Opus 5.5 agent with status polling and artifact results.
Authenticated async Fable 5.1 agent with status polling and artifact results.
Japanese catalog of physical devices AI agents can control: connectivity ratings, APIs, sources.
Plan agent workload routes from evaluation and cost data. $1 USDC per plan; modeled savings only.
Model proof-of-work policy and latency for AI agents. $1 USDC rehearsal; no runtime protection.
Pay-per-use API marketplace for AI agents: LLMs, image, TTS, search. Free trial, x402.
Describe a store's problem: get the matching service, its fixed price, and a request link.
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
Small public utility for autonomous clients.
Small public utility for autonomous clients.
Small public utility for autonomous clients.
Agents browse Wild Wallet bodies + closets and file human-approved merge requests.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
Authenticated async Opus 4.8 Agent agent with status polling and artifact results.
Manage your IoT device fleet directly from Claude. Create device templates with datastreams and events, provision new devices, read live sensor data, and control outputs. The Blynk connector integrates with the Blynk IoT platform, enabling direct configuration and monitoring of connected devices and infrastructure.
Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server
- OrgXOAuthcom.useorgx.mcp
Agent orchestration, decisions, and organizational memory for MCP clients. Review pending decisions, scaffold initiative hierarchies, assign work to specialist agents, and render live OrgX widgets inline.
LLM Orchestration Agent 2