# TokenLens MCP

> Use this tool when you need to optimize AI conversation costs and efficiency. TokenLens MCP analyzes conversations to estimate token costs, detect waste, and generate optimized prompts, providing inputs such as conversation transcripts and outputs including cost estimates and optimized prompts. It solves problems of unnecessary token usage, helping users streamline their AI interactions within editors and development environments.

Canonical page: https://skillsregistry.net/skills/im43ii-tokenlens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/im43ii-tokenlens-mcp

## Description

Analyze AI conversations to estimate token costs, detect waste, and generate optimized prompts directly from your editor.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zci53gtwze)
- **Repository:** <https://github.com/im43ii/tokenlens-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": "im43ii-tokenlens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/im43ii-tokenlens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/im43ii-tokenlens-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