# Crew AI MCP Server

> Use this tool when you need to manage and automate AI workflows, creating and running AI agents and tasks in a unified environment. It solves problems of manual workflow management, enabling efficient automation and scalability. The Crew AI MCP Server takes in workflow definitions and AI agent configurations as inputs and outputs automated task execution and management.

Canonical page: https://skillsregistry.net/skills/matthewlaw1-near-intents-mcp-agentkit  
JSON: https://api.skillsregistry.net/v1/skills/matthewlaw1-near-intents-mcp-agentkit

## Description

Enables AI agent and task management using the CrewAI framework, allowing users to create and run agents and tasks in an automated workflow environment.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y5nsuuf5t8)
- **Repository:** <https://github.com/MatthewLaw1/Near-Intents-MCP-Agentkit>

## 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": "matthewlaw1-near-intents-mcp-agentkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/matthewlaw1-near-intents-mcp-agentkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/matthewlaw1-near-intents-mcp-agentkit/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