# shensou

> Use this tool when you need to conduct iterative web searches and synthesize information around a specific question. Shensou solves the problem of gathering relevant evidence and organizing search results by proposing keyword queries, gathering evidence, and outputting a question-map and synthesis. It takes a question as input and returns a structured map of related information, making it ideal for use cases that require in-depth research and analysis.

Canonical page: https://skillsregistry.net/skills/taoyongac-shensou  
JSON: https://api.skillsregistry.net/v1/skills/taoyongac-shensou

## Description

An MCP server for divergent iterative web search that anchors on a question, proposes keyword queries, gathers evidence, and outputs a question-map and synthesis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kwkwitg7nk)
- **Repository:** <https://github.com/taoyongac/shensou>

## 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": "taoyongac-shensou"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taoyongac-shensou` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taoyongac-shensou/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