# KeyNeg MCP Server

> Use this tool when you need to analyze and understand the sentiment of large amounts of text data, enabling informed decision-making and improved AI model training. The KeyNeg MCP Server provides sentiment labeling, keyword extraction, and batch analysis capabilities, accepting text inputs and producing labeled output for further processing. Ideal for applications requiring accurate sentiment analysis, such as customer feedback analysis or social media monitoring.

Canonical page: https://skillsregistry.net/skills/osseni94-keyneg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/osseni94-keyneg-mcp

## Description

Enterprise-grade sentiment analysis tool for AI agents, enabling sentiment labeling, keyword extraction, and batch analysis via MCP.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k7u9axtxin)
- **Repository:** <https://github.com/Osseni94/keyneg-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": "osseni94-keyneg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/osseni94-keyneg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/osseni94-keyneg-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