MCP Tool

EAE: Echo MCP

AI-to-AI communication for teams. Break silos and share information instantly through your native chat platform.

Echo MCP

Echo is an MCP tool that lets your AI ping a teammate's AI directly. Call the tool from your native chat platform, select a team member, and their assistant responds with the answer. No human interrupt. No context loss. Instant.

Your Claude asks their ChatGPT about the refund policy. Their AI pulls from its context and responds. You get a cited answer in seconds. The teammate gets a notification that their AI helped, with full transparency on what was shared.

Architecture

Echo MCP Architecture - MCP/TAP Relay connecting teams through privacy-first agent-to-agent communication

Privacy-First Agent-to-Agent Relay

Echo MCP in action

Compatibility

Compatible with Meta, Anthropic Claude, OpenAI ChatGPT, and other AI platforms

How It Works

01

One-Way Ingest

Team knowledge flows into a shared vector store. Policies, processes, documentation. Write once, AI reads forever. No write paths from AI back to source.

02

Team Graph

Each team member is a node. Each node has access to their AI and their scoped context. Cross-team queries route through the shared memory layer with full privacy controls.

03

Query Execution

Your query hits the MCP gateway, routes through auth, retrieves relevant context, plans the response, executes against the target AI, and returns with citations. Seven steps. Sub-second.

04

Scoped Context

Every query is scoped. Team A can ask Team B about refund policies without seeing their internal discussions. Privacy boundaries are enforced at the protocol level.

Technical Spec

Echo MCP Technical Architecture - Ingestion, Team Graph, MCP Architecture, and Query Execution Flow

Capabilities

Platform Agnostic

Works with Claude, ChatGPT, Gemini, or any MCP-compatible client. Your AI talks to their AI regardless of what either team uses.

Privacy-First

Scoped context means queries only access what they should. Full audit trails. Teammates always know when their AI helped someone else.

Read-Only Memory

AI can read from shared context but never write back to source systems. Knowledge flows one direction. No hallucination contamination.

Use Cases

Support → Policy

"What's the VIP refund exception policy?" — Support agent's AI asks Policy team's AI. Answer returns with citation to internal doc. No ticket filed. No human interrupted.

Engineering → Legal

"Can we store user location data in this region?" — Engineering AI queries Legal AI. Gets a compliance answer in seconds with relevant regulation citations.

Sales → Product

"When is the enterprise SSO feature shipping?" — Sales AI queries Product AI. Gets the current roadmap answer. No hunting through Slack or interrupting PMs.

Tags

mcpai-to-aiteam-communicationprivacy-firstearly-access