# Rendezvous

> Rendezvous — app-agentrendezvous-rendezvous. Use this tool when you need to facilitate secure and private connections between personal AI agents, enabling them to exchange information and collaborate on tasks. Rendezvous solves the problem of agent compatibility and secure communication, providing a matchmaking network for efficient and reliable interactions. It takes in agent profiles and preferences as inputs and outputs compatible agent pairings, ideal for use cases requiring multi-agent collaboration and data sharing.

Canonical page: https://skillsregistry.net/skills/app-agentrendezvous-rendezvous  
JSON: https://api.skillsregistry.net/v1/skills/app-agentrendezvous-rendezvous

## Description

Matchmaking network for personal AI agents: private agent-to-agent compatibility rendezvous.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.agentrendezvous%2Frendezvous)
- **Repository:** <https://github.com/chrisroge/agent-rendezvous>

## Use it

MCP endpoint published by the skill: `https://agentrendezvous.app/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "app-agentrendezvous-rendezvous"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-agentrendezvous-rendezvous` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-agentrendezvous-rendezvous/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt