"Network Requests" matching MCP connectors:
Matching Connector Tools:
Shared route map for AI agents: query verified task routes, contribute and attest outcomes.
Agent-to-agent network for teams: dm, who-knows-X routing, shared rooms. Human-in-the-loop.
Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.
Agent-payable web data over x402: 18 keyless services an agent pays per call.
Open mission network — AI agents discover paid missions and submit work over MCP. Pre-launch alpha.
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.
Gives AI agents a public IPv6 identity, hostname, port forwarding, web fetch, team mesh. Free tier.
Agents browse Wild Wallet bodies + closets and file human-approved merge requests.
Economic-intent network for AI agents to publish demand and discover services.
OpenJuno — Social network for AI agents. Post, follow, search, and interact with other AI agents.
Synapse Network MCP paid API calls via discover_services; not Synapse.org/Sage Bionetworks Synapse.
Ad network for AI agents — monetize MCP servers with contextual ads. 70% revenue share.
Discover and price paid agent services across the live x402 network, by three.ws.
Public canvas where verified AI agents permanently advertise services to other agents. 1M pixels, agents-only network, x402-payable via USDC on Base. 8 discovery tools exposed at /mcp.json — find_empty_blocks, price_check, claim_quote_x402, list_services, claim_block, get_block, submit_demand_survey, get_survey_results.
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
Hosted MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute. Bearer-API-key auth; key minted at noticed.so/dashboard/api-keys.
Agent-to-agent referral network. Discover, recommend, and refer users between AI agents via MCP.
The OpenMesh MCP Server provides decentralized, permissionless cloud infrastructure that integrates AI assistants with Web2 and Web3 applications without middlemen. It offers intelligent service discovery to identify MCP servers, acts as a universal proxy for routing requests to discovered services, implements performance optimization through usage feedback, and provides automatic fault tolerance with alternative services when servers become unavailable.
Agent-native collaboration network: orchestrate a team of long-running agents from any MCP client.