# slack-agent-mesh

> slack-agent-mesh — nickvasilescu-slack-agent-mesh. Use this tool when you need to create a network of virtual agent identities within Slack, enabling collaboration and communication through durable threads. It solves problems of agent coordination and identity management, allowing agents to be addressed by name and work together seamlessly. The slack-agent-mesh takes in a single Slack app as input and outputs a mesh of virtual agents, providing a transport and coordination layer for agent collaboration.

Canonical page: https://skillsregistry.net/skills/nickvasilescu-slack-agent-mesh  
JSON: https://api.skillsregistry.net/v1/skills/nickvasilescu-slack-agent-mesh

## Description

Slack Agent Mesh is an open-source MCP server that turns a single Slack app into a mesh of virtual agent identities, providing a transport and coordination layer where agents can be addressed by name and collaborate through durable, human-visible Slack threads.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kduoflhq76)
- **Repository:** <https://github.com/nickvasilescu/slack-agent-mesh>

## Use it

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": "nickvasilescu-slack-agent-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nickvasilescu-slack-agent-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nickvasilescu-slack-agent-mesh/pull`

---
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
