# Feature-Discussion MCP Server

> Use this tool when you need to facilitate collaborative feature discussions with AI-driven guidance, solving problems of context loss and suboptimal implementation choices in software development. It takes in feature requirements and discussion inputs, providing outputs of intelligent recommendations for implementation, architecture, and best practices. Ideal for use in software development teams looking to streamline feature discussion and implementation processes.

Canonical page: https://skillsregistry.net/skills/squirrelogic-mcp-feature-discussion  
JSON: https://api.skillsregistry.net/v1/skills/squirrelogic-mcp-feature-discussion

## Description

Facilitates interactive feature discussions with AI guidance, maintaining context and providing intelligent recommendations for implementation, architecture, and best practices in software development.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/flu4y0g8m5)
- **Repository:** <https://github.com/squirrelogic/mcp-feature-discussion>

## 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": "squirrelogic-mcp-feature-discussion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/squirrelogic-mcp-feature-discussion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/squirrelogic-mcp-feature-discussion/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