# LLM Responses MCP Server

> Use this tool when you need to facilitate collaboration and knowledge sharing among multiple AI agents, enabling them to learn from each other's responses to the same prompt and generate more informed and diverse outputs. It solves problems of response duplication and knowledge silos by allowing agents to access and reflect on each other's answers. The tool takes in prompts and individual agent responses as inputs and outputs a shared knowledge base of collective responses.

Canonical page: https://skillsregistry.net/skills/kstrikis-ephor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kstrikis-ephor-mcp

## Description

Enables multiple AI agents to share and read each other's responses to the same prompt, allowing them to reflect on what other LLMs said to the same question.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dttcg28swo)
- **Repository:** <https://github.com/kstrikis/ephor-mcp>

## 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": "kstrikis-ephor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kstrikis-ephor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kstrikis-ephor-mcp/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