# MCP-Inception

> Use this tool when you need to manage complex AI workflows or delegate tasks in nested LLM queries, enabling efficient context management and parallel execution. It solves problems related to distributed problem-solving, multi-agent collaboration, and handling large context windows. The MCP-Inception server takes in LLM queries and outputs delegated tasks, allowing for concurrent execution and streamlined context management.

Canonical page: https://skillsregistry.net/skills/tanevanwifferen-inception  
JSON: https://api.skillsregistry.net/v1/skills/tanevanwifferen-inception

## Description

This MCP server, developed by tanevanwifferen, enables nested LLM queries by allowing one MCP client to call another. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for delegating tasks and offloading context windows. The implementation focuses on task delegation and parallel execution, with features like ignoring intermediate steps and running prompts concurrently for multiple inputs. It's particularly useful for developers working on complex AI workflows or context management, enabling use cases such as distributed problem-solving, multi-agent collaboration, and efficient handling of large context windows without directly managing multiple LLM instances.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tanevanwifferen-inception)
- **Repository:** <https://github.com/tanevanwifferen/mcp-inception>

## 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": "tanevanwifferen-inception"
    }
  }
}
```

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