# GraReco (Grammar Recommendations)

> Use this tool when you need to improve text grammar and syntax in real-time, solving problems such as incorrect sentence structure and punctuation errors. It takes in text inputs and generates grammar corrections and recommendations as outputs, utilizing the Anthropic Claude API for advanced language processing. Ideal for use in AI assistant interfaces where users require seamless grammar assistance.

Canonical page: https://skillsregistry.net/skills/iuill-grareco  
JSON: https://api.skillsregistry.net/v1/skills/iuill-grareco

## Description

MCP_GraReco is a server that provides AI assistants with grammar recommendation capabilities through the Anthropic Claude API. Built with TypeScript and Express, it processes text inputs using specialized prompts (elementary, standard, and timeline) to generate grammar corrections and recommendations. The server implements Server-Sent Events (SSE) for real-time communication, containerizes the application with Docker for easy deployment, and includes configurable parameters for the Anthropic model. This implementation is particularly valuable for users who need grammar assistance without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/iuill-grareco)
- **Repository:** <https://github.com/iuill/mcp_grareco>

## 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": "iuill-grareco"
    }
  }
}
```

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