# MeshMind

> Use this tool when you need to integrate multiple context-engineering approaches into a single framework for AI agents, solving problems of fragmented knowledge and inconsistent decision-making. MeshMind merges disparate ideas into one toolset, accepting diverse inputs and generating unified outputs for enhanced AI performance. Ideal for use cases requiring holistic understanding and coordinated action, MeshMind streamlines AI development and deployment.

Canonical page: https://skillsregistry.net/skills/antoniovandijck-meshmind  
JSON: https://api.skillsregistry.net/v1/skills/antoniovandijck-meshmind

## Description

A single MCP server that merges three context-engineering ideas into one toolset for AI agents

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ejj8u1zu4z)
- **Repository:** <https://github.com/AntoniovanDijck/meshmind>

## 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": "antoniovandijck-meshmind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/antoniovandijck-meshmind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/antoniovandijck-meshmind/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