# Chat Analysis

> Use this tool when you need to analyze and understand chat conversations, such as for customer support analytics or social media monitoring. It integrates vector embeddings and knowledge graphs to provide advanced chat data processing capabilities, including topic modeling, sentiment analysis, and user behavior tracking. The tool accepts chat data as input and outputs nuanced insights into conversation patterns and relationships, making it ideal for building intelligent chatbots or applications that require in-depth conversation analysis.

Canonical page: https://skillsregistry.net/skills/rebots-online-chat-analysis  
JSON: https://api.skillsregistry.net/v1/skills/rebots-online-chat-analysis

## Description

This MCP server for chat analysis, developed by Robin L. M. Cheung, integrates vector embeddings and knowledge graphs to provide advanced chat data processing capabilities. Built with Python, it leverages Neo4j for graph storage, Qdrant for vector search, and sentence transformers for embedding generation. The implementation stands out by combining semantic similarity search with graph-based relationship analysis, enabling more nuanced understanding of chat conversations. By exposing these capabilities through standardized MCP endpoints, it allows AI systems to perform complex chat analysis tasks such as topic modeling, sentiment analysis, and user behavior tracking. This server is particularly useful for applications in customer support analytics, social media monitoring, or building intelligent chatbots that can learn from and adapt to conversation patterns.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rebots-online-chat-analysis)
- **Repository:** <https://github.com/rebots-online/mcp-chat-analysis-server>

## 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": "rebots-online-chat-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rebots-online-chat-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rebots-online-chat-analysis/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