# agentkit-mesh

> Use this tool when you need to facilitate agent-to-agent communication and task delegation in a distributed system. The agentkit-mesh enables discovery and delegation via MCP, allowing agents to register, be discovered by keyword matching, and receive task delegations over HTTP. It solves problems of agent coordination and workload distribution, providing a flexible interface for agent registration and task assignment.

Canonical page: https://skillsregistry.net/skills/agentkitai-agentkit-mesh  
JSON: https://api.skillsregistry.net/v1/skills/agentkitai-agentkit-mesh

## Description

Enables agent-to-agent discovery and delegation via MCP, with tools for registering agents, discovering them by keyword matching, and delegating tasks over HTTP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i2bt77xhig)
- **Repository:** <https://github.com/agentkitai/agentkit-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": "agentkitai-agentkit-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentkitai-agentkit-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentkitai-agentkit-mesh/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