# TOMAPE

> TOMAPE — sudharsanbabu83-tomape. Use this tool when you need to optimize token usage in multi-agent interactions, as it solves problems related to session state management, context compaction, and efficient work routing. TOMAPE takes in session data and agent inputs, and outputs optimized work assignments and estimated token savings. It is ideal for use cases where minimizing token consumption is crucial, such as in large-scale conversational AI applications.

Canonical page: https://skillsregistry.net/skills/sudharsanbabu83-tomape  
JSON: https://api.skillsregistry.net/v1/skills/sudharsanbabu83-tomape

## Description

Token-optimized multi-agent orchestration MCP server that owns session state, compacts context between agent hops, routes work to smaller models when safe, and reports estimated token savings.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i3xrf1ceb0)
- **Repository:** <https://github.com/sudharsanbabu83/TOMAPE>

## 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": "sudharsanbabu83-tomape"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sudharsanbabu83-tomape` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sudharsanbabu83-tomape/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