# Agent Construct

> Use this tool when you need to standardize and manage AI application interactions, facilitating seamless tool discovery and execution. The Agent Construct Model Context Protocol server solves integration and context management problems, enabling efficient communication between AI systems. It accepts inputs from various AI applications and outputs standardized context and tool execution protocols, ideal for use in complex AI ecosystems.

Canonical page: https://skillsregistry.net/skills/maihengxing999-agent-construct  
JSON: https://api.skillsregistry.net/v1/skills/maihengxing999-agent-construct

## Description

Model Context Protocol server that standardizes tool discovery, execution, and context management for AI applications.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xro3hldczh)
- **Repository:** <https://github.com/maihengxing999/agent_construct>

## 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": "maihengxing999-agent-construct"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maihengxing999-agent-construct` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maihengxing999-agent-construct/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
