# semantic-edit-mcp

> Use this tool when you need to edit and refine semantic data, solving problems related to data inconsistencies and inaccuracies. It provides core functionality for modifying and updating semantic information, accepting input in the form of raw data and outputting refined and corrected semantic data. Ideal for use cases involving data cleansing, normalization, and enrichment, where precise and accurate semantic data is crucial.

Canonical page: https://skillsregistry.net/skills/jbr-semantic-edit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jbr-semantic-edit-mcp

## Description

semantic-edit-mcp

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ivxww9hhj2)
- **Repository:** <https://github.com/jbr/semantic-edit-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": "jbr-semantic-edit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jbr-semantic-edit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jbr-semantic-edit-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