# SREDDY

> SREDDY — ca-sreddy-sreddy. Use this tool when you need to streamline Canadian SR&ED claim preparation with a flat-fee service, leveraging AI to simplify the process. It solves problems related to tedious and costly claim preparation, providing a convenient interface for inputting claim details and receiving prepared claims as output. Ideal for businesses seeking to optimize their SR&ED claim process, SREDDY offers a efficient solution through its AI-powered platform.

Canonical page: https://skillsregistry.net/skills/ca-sreddy-sreddy  
JSON: https://api.skillsregistry.net/v1/skills/ca-sreddy-sreddy

## Description

Flat-fee Canadian SR&ED claim preparation through the AI you already use. Key issued at sreddy.ca.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ca.sreddy%2Fsreddy)

## Use it

MCP endpoint published by the skill: `https://mcp.sreddy.ca/mcp`

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": "ca-sreddy-sreddy"
    }
  }
}
```

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

---
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