# teamblind-mcp

> teamblind-mcp — usrivastava92-teamblind-mcp. Use this tool when you need to research and gather information from Blind discussions, saving you time and effort by leveraging AI to sift through relevant conversations. It solves problems of information overload and manual research by providing automated access to Blind discussion data. The tool takes in search queries as input and outputs relevant discussion results, ideal for use cases where staying up-to-date on industry trends and topics is crucial.

Canonical page: https://skillsregistry.net/skills/usrivastava92-teamblind-mcp  
JSON: https://api.skillsregistry.net/v1/skills/usrivastava92-teamblind-mcp

## Description

Let your AI agent research Blind discussions on your behalf.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/usrivastava92/teamblind-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": "usrivastava92-teamblind-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/usrivastava92-teamblind-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/usrivastava92-teamblind-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