# TokenLens MCP Server

> Use this tool when you need to optimize AI model costs and make informed pricing decisions. The TokenLens MCP Server enables AI agents to compare pricing plans, run cost scenarios, and receive plan recommendations, helping to identify break-even points and reduce expenses. It takes in AI model requirements and pricing plans as inputs and outputs optimized cost scenarios and plan recommendations.

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

## Description

Enables AI agents to compare AI model pricing plans, run cost scenarios, find break-even points, and get plan recommendations using TokenLens data.

## 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:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t4mfms9sd2)
- **Repository:** <https://github.com/flikQ/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": "flikq-tokenlens-mcp"
    }
  }
}
```

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