# hawksoft-mcp

> Use this tool when you need to interact with HawkSoft insurance agency management data using natural language, enabling you to read and write various data points such as client information, policies, and claims. It solves problems related to data access and management, allowing for efficient retrieval and updating of insurance agency data. The tool accepts natural language inputs and outputs relevant data, making it ideal for use cases where ease of access and simplicity are crucial.

Canonical page: https://skillsregistry.net/skills/sanjibani-hawksoft-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sanjibani-hawksoft-mcp

## Description

Enables natural language interaction with HawkSoft insurance agency management data, including reading clients, policies, and claims, and writing log notes, attachments, and receipts.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b1lyggsva9)
- **Repository:** <https://github.com/sanjibani/hawksoft-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": "sanjibani-hawksoft-mcp"
    }
  }
}
```

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