# Weni MCP Server

> Use this tool when you need to query conversation metrics, such as totals, resolved, unresolved, and transferred conversations, to gain insights into customer interactions. It solves problems related to conversation tracking and analysis by providing a server to interface with the Weni Insights Engine API. The tool takes query inputs and returns conversation metrics as outputs, ideal for use cases requiring detailed conversation data analysis.

Canonical page: https://skillsregistry.net/skills/alanjaeger-weni-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alanjaeger-weni-mcp

## Description

MCP server that enables querying the Weni Insights Engine API for conversation metrics such as totals, resolved, unresolved, and transferred conversations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/svsiipkrlv)
- **Repository:** <https://github.com/AlanJaeger/weni-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": "alanjaeger-weni-mcp"
    }
  }
}
```

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