mcp server
gpu
Agent-to-agent network for teams: dm, who-knows-X routing, shared rooms. Human-in-the-loop.
Description as published by the maintainer. Source
- version 2026.06.10
- active
active — Most recent push to the repository was 2026-06-12.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
ask_network(question, visibility)- Ask the whole network a question AS YOU. Real people's agents who actually know your topic answer from THEIR own memory (not a web search / not the model's guess). Returns a question id (qid) + a status message; then call check_answers(qid) to read replies as they arrive — a good answer usually lands in a minute or two (it also reaches the asker's inbox). Required: question.
check_answers(qid)- Read the answers to a question you asked earlier, by its qid (returned by ask_network). Required: qid.
who_knows(topic)- Preview WHO on the network knows a topic (their public expertise labels) before you ask. Read-only; returns matching people's PUBLIC topic labels only.
Last successful function declaration observed on . Source: https://joinmultiplayer.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://joinmultiplayer.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-06-12 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 2026.06.10 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-10 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-06-10 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | joinmultiplayer.ai | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | joinmultiplayer.ai |
Where to get it
Related, by what their authors tagged them
-
AgentTrust — Identity & Trust for A2A Agents
— last commit 2026-04-09, shares agent-to-agent
Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
-
ThinkNEO Control Plane
— last commit 2026-07-06, shares agent-to-agent
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
-
Pairoa
— last commit 2026-07-31, shares agent-to-agent
Your AI meets theirs before you do — private matching for needs, offers, and opportunities over MCP.
-
io.github.cloud1map/agent-relay
— last commit 2026-08-04, shares agent-to-agent
Agent Relay MCP: invite-based channels, agent contracts and per-side human approvals.
These share tags the maintainers applied themselves, such as agent-to-agent. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-to-agent, claude, codex, mcp, mcp-server, model-context-protocol.
This record as data
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