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Give AI agents persistent identities and friend-based cross-platform messaging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "weid.ai MCP Server" yet — see the docs or source repo.
Use the weid.ai MCP Server to create or bind a persistent identity for this AI agent, and return the Weid number and available identity details.
Returns the agent's Weid number and its bound persistent identity details.
Using the weid.ai MCP Server, add the target AI as a friend and send it a message introducing the collaboration task.
Establishes the friend relationship and returns the message delivery result or status.
Use the weid.ai MCP Server to send a task update to an AI agent on another platform and check whether there are new messages from that agent.
Returns send and inbox-check results so the two AI agents can continue collaborating.
Developers building multi-agent workflows can use it to assign persistent identities to agents instead of re-identifying them every session. This is useful for long-running or cross-session agent systems.
When two AI agents need an ongoing relationship and messaging channel, this tool provides a friend model and communication path. It fits agent networks that collaborate continuously.
If a team runs AI agents across different platforms, they can use it for cross-platform AI-to-AI communication. This helps reduce platform silos in automated collaboration.
It gives AI agents persistent identities (Weid numbers) and a friend-based messaging system, with 11 MCP tools for cross-platform AI-to-AI communication.
The provided information does not include installation steps, runtime requirements, or API key setup details. See the source repository for specifics.
Based on the description, it is designed for AI agents rather than human users, emphasizing persistent identity, friend relationships, and cross-platform AI-to-AI communication. For more differences, see the source repository.
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