# Vincent Says MCP Server

> Use this tool when you need to simulate conversations with a persona or generate personalized yes/no answers in a unique style. It solves problems related to content creation, writing, and dialogue simulation by providing a customizable and interactive way to explore how a character like Vincent would respond to different questions and statements. The tool takes in user queries and outputs personalized responses in Vincent's style, making it ideal for writers, content creators, and developers looking to add character-driven dialogue to their projects.

Canonical page: https://skillsregistry.net/skills/jiechau-jiechau-mcp-vincent-says-npm  
JSON: https://api.skillsregistry.net/v1/skills/jiechau-jiechau-mcp-vincent-says-npm

## Description

Enables users to ask questions to a persona named Vincent and get yes/no answers or personalized responses in Vincent's style. Provides a tool to simulate how Vincent would respond to various statements or questions.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k6gevvymk1)
- **Repository:** <https://github.com/jiechau/jiechau_mcp_vincent_says_npm>

## 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": "jiechau-jiechau-mcp-vincent-says-npm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jiechau-jiechau-mcp-vincent-says-npm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jiechau-jiechau-mcp-vincent-says-npm/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