# Folk

> Use this tool when you need to efficiently manage customer relationships and retrieve data with minimal resource usage. It solves problems related to contact and company management, data retrieval, and interaction logging through a tiered tool architecture and fuzzy name matching. It accepts input queries and returns minimal response payloads, making it ideal for use cases requiring comprehensive CRM operations with optimized performance.

Canonical page: https://skillsregistry.net/skills/nimblebraininc-folk  
JSON: https://api.skillsregistry.net/v1/skills/nimblebraininc-folk

## Description

Provides access to Folk CRM functionality through a tiered tool architecture designed to minimize token usage. Features a two-phase lookup system for efficient data retrieval, fuzzy name matching for natural language searches, and minimal response payloads. Supports comprehensive CRM operations including contact and company management, notes, reminders, and interaction logging.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nimblebraininc-folk)
- **Repository:** <https://github.com/nimblebraininc/mcp-folk>

## 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": "nimblebraininc-folk"
    }
  }
}
```

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