# RelayPlane

> Use this tool when you need to optimize AI workflow efficiency by chaining multi-step operations while minimizing token usage. RelayPlane solves problems of context window overflow and excessive token consumption, supporting seamless integration with multiple AI providers. It accepts sequential LLM operations as input and outputs optimized workflows with reduced token usage.

Canonical page: https://skillsregistry.net/skills/relayplane-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/relayplane-mcp-server

## Description

Enables efficient AI workflow orchestration by chaining multi-step LLM operations while keeping intermediate results out of the context window, reducing token usage by 90%+ and supporting multiple AI providers.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kozczsfygp)
- **Repository:** <https://github.com/RelayPlane/mcp-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": "relayplane-mcp-server"
    }
  }
}
```

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