communication MCP Server
Encrypted agent-to-agent messaging over NATS. MCP-native, E2E encrypted (XChaCha20-Poly1305), optional JetStream durability, cross-org federation + A2A interop — built for multi-agent AI systems.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Description
**Send message and wait for reply.** Blocks until response or timeout. Best for autonomous workflows.
Send encrypted message (fire-and-forget). Returns immediately after enqueue.
Read inbound messages from peers.
List known peers and their key status.
Store a local message in the conversation store.
List conversations by recency.
Full-text search across stored messages.
Choice
core NATS + SQLite outbox
X25519 + XChaCha20-Poly1305
Ed25519
SQLite (node:sqlite)
Send messages and upload files to Slack channels using the `slack` CLI. Supports direct messages, channel posts, file uploads, and thread replies.
Bidirectional Telegram bridge — talk to Claude from your phone. Built into OpenPaw.
Discover agents across local node and mesh peers at runtime — their roles, handles, and how to communicate with or delegate to them.
Apply data visualization and storytelling principles from Storytelling with Data by Cole Nussbaumer Knaflic. Covers choosing effective visuals (line, bar, table, scatterplot), eliminating clutter (Gestalt principles, data-ink ratio), focusing attention (preattentive attributes, strategic color), thinking like a designer (affordances, alignment, white space), and narrative structure (three-act story, horizontal/vertical logic, Big Idea). Trigger on "data visualization", "chart design", "dashboard design", "data storytelling", "presentation chart", "declutter chart", "bar chart", "line chart", "data narrative", "slide deck data", "chart review", "viz critique", "storytelling with data".
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
AgentNetworkProtocol(ANP) is an open source protocol for agent communication. Our vision is to define how agents connect with each other, building an open, secure, and efficient collaboration network for billions of intelligent agents.
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