# reflect-mcp

> reflect-mcp — jinchenma-reflect-mcp. Use this tool when you need to extract accurate structured data from unorganized text, as it solves data quality issues by verifying results across multiple models and allowing human review. It takes in messy text as input and outputs high-confidence structured data, flagging uncertain fields for confirmation. Ideal for use cases where data accuracy is crucial, such as data migration, integration, or analytics projects.

Canonical page: https://skillsregistry.net/skills/jinchenma-reflect-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jinchenma-reflect-mcp

## Description

Enables extraction of structured data from messy text with multi-model verification and human-in-the-loop review, surfacing only high-confidence results or flagging uncertain fields for confirmation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dg4by1qcox)
- **Repository:** <https://github.com/jeffma8888/reflect-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": "jinchenma-reflect-mcp"
    }
  }
}
```

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