# Agile Team MCP Server

> Use this tool when you need to streamline agile development workflows and leverage specialized AI agent personas. It solves problems related to model discovery, prompt delivery, and decision making by providing a unified interface across multiple LLM providers. The Agile Team MCP Server takes in user inputs and outputs role-specific decisions, making it ideal for use cases that require collaborative and efficient AI-driven development processes.

Canonical page: https://skillsregistry.net/skills/danielscholl-agile-team-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/danielscholl-agile-team-mcp-server

## Description

Enables users to leverage a team of specialized AI agent personas like Business Analysts and Product Managers through a unified interface across multiple LLM providers. It streamlines agile development workflows by providing tools for model discovery, unified prompt delivery, and role-specific decision making.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yuprfvzvzc)
- **Repository:** <https://github.com/danielscholl/agile-team-mcp-server>

## 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": "danielscholl-agile-team-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danielscholl-agile-team-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danielscholl-agile-team-mcp-server/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
