# Sequential Questioning MCP Server

> Use this tool when you need to gather specific information from large language models (LLMs) through structured sequential questioning. It solves problems of information retrieval and data collection by enabling LLMs to provide targeted responses through the MCP standard interface, accepting natural language inputs and producing relevant output responses. Ideal for use cases requiring iterative questioning and precise data extraction, such as data mining, research, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/bitgeese-sequential-questioning  
JSON: https://api.skillsregistry.net/v1/skills/bitgeese-sequential-questioning

## Description

A specialized server that enables LLMs to gather specific information through sequential questioning, implementing the MCP standard for seamless integration with LLM clients.

## Trust

- **Trust score (0–1):** 0.43
- **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/w1ndcqpfes)
- **Repository:** <https://github.com/bitgeese/sequential-questioning>

## 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": "bitgeese-sequential-questioning"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bitgeese-sequential-questioning` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bitgeese-sequential-questioning/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