MCP Inception MCP Server

by tanevanwifferen

19 stars

1 downloads

Not rated

GitHub

About

A TypeScript-based server that allows calling other MCP clients from your own MCP client, facilitating task delegation and context window offloading for enhanced multi-agent interactions.

Details

Author: tanevanwifferen
Repository: tanevanwifferen/mcp-inception
GitHub stars: 19
Downloads: 1
License: MIT License
Categories: Productivity, AI, Automation, Project Management, Developer Tools

Setting up with Highlight

Follow these steps to add this server as a custom Highlight plugin:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name MCP Inception MCP Server

Command (node, npx, python, etc.) node
Arguments
- Argument 1 ~/Documents/Cline/MCP/mcp-inception/build/index.js
Environment
- MCP_INCEPTION_EXECUTABLE ./run_llm.sh
- MCP_INCEPTION_WORKING_DIR /mcp-client-cli working dir
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

From the repository

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-inception": {
      "command": "node",
      "args": ["~/Documents/Cline/MCP/mcp-inception/build/index.js"], // build/index.js from this repo
      "disabled": false,
      "autoApprove": [],
      "env": {
        "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh", // bash file from Development->Dependencies
        "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
      }
    }
  }
}

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

`execute_mcp_client`

Ask a question to a separate LLM, ignore all the intermediate steps it takes when querying its tools, and return the output. Takes question as required parameters.

`execute_parallel_mcp_client`

Takes a list of inputs and a main prompt, and executes the prompt in parallel for each string in the input. Takes main prompt 'What is the time in this city?' and a list of inputs such as London, Paris, etc.

`execute_map_reduce_mcp_client`

Process multiple items in parallel and then sequentially reduce the results to a single output. Takes mapPrompt with {item} placeholder, reducePrompt with {accumulator} and {result} placeholders, a list of items to process, and an optional initialValue for the accumulator.

- execute_mcp_client - Ask a question to a separate LLM, ignore all the intermediate steps it takes when querying it's tools, and return the output.
- Takes question as required parameters
- Returns answer, ignoring all the intermediate context
- execute_parallel_mcp_client - Takes a list of inputs and a main prompt, and executes the prompt in parallel for each string in the input.
E.G. get the time of 6 major cities right now - London, Paris, Tokyo, Rio, New York, Sidney.
- takes main prompt "What is the time in this city?"
- takes list of inputs, London Paris etc
- runs the prompt in parallel for each input
- note: wait for this before using this feature
- execute_map_reduce_mcp_client - Process multiple items in parallel and then sequentially reduce the results to a single output.
- Takes mapPrompt with {item} placeholder for individual item processing
- Takes reducePrompt with {accumulator} and {result} placeholders for combining results
- Takes list of items to process
- Optional initialValue for the accumulator
- Processes items in parallel, then sequentially reduces results
- Example use case: Analyze multiple documents, then synthesize key insights from all documents into a summary

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp inception mcp server": {
            "env": {
                "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
                "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
            },
            "args": [
                "~/Documents/Cline/MCP/mcp-inception/build/index.js"
            ],
            "command": "node"
        }
    }
}

Linux

{
    "env": {
        "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
        "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
    },
    "args": [
        "~/Documents/Cline/MCP/mcp-inception/build/index.js"
    ],
    "command": "node"
}

Macos

{
    "env": {
        "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
        "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
    },
    "args": [
        "~/Documents/Cline/MCP/mcp-inception/build/index.js"
    ],
    "command": "node"
}

Windows

{
    "env": {
        "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh",
        "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
    },
    "args": [
        "~/Documents/Cline/MCP/mcp-inception/build/index.js"
    ],
    "command": "node"
}

Disclaimer

Ok this is a difficult one. Will take some setting up unfortunately.
However, if you manage to make this more straightforward, please send me PR's.

mcp-inception MCP Server

Call another mcp client from your mcp client. Delegate tasks, offload context windows. An agent for your agent!

This is a TypeScript-based MCP server that implements a simple LLM query system.

- MCP Server and Client in one
- Made with use of mcp-client-cli
- Offload context windows
- Delegate tasks
- Parallel and map-reduce execution of tasks

Features

Tools

- execute_mcp_client - Ask a question to a separate LLM, ignore all the intermediate steps it takes when querying it's tools, and return the output. - Takes question as required parameters - Returns answer, ignoring all the intermediate context - execute_parallel_mcp_client - Takes a list of inputs and a main prompt, and executes the prompt in parallel for each string in the input. E.G. get the time of 6 major cities right now - London, Paris, Tokyo, Rio, New York, Sidney. - takes main prompt "What is the time in this city?" - takes list of inputs, London Paris etc - runs the prompt in parallel for each input - note: wait for this before using this feature - execute_map_reduce_mcp_client - Process multiple items in parallel and then sequentially reduce the results to a single output. - Takes mapPrompt with {item} placeholder for individual item processing - Takes reducePrompt with {accumulator} and {result} placeholders for combining results - Takes list of items to process - Optional initialValue for the accumulator - Processes items in parallel, then sequentially reduces results - Example use case: Analyze multiple documents, then synthesize key insights from all documents into a summary

Development

Dependencies:

- Install mcp-client-cli - Also install the config file, and the mcp servers it needs in ~/.llm/config.json - create a bash file somewhere that activates the venv and executes the llm executable

#!/bin/bash
source ./venv/bin/activate
llm --no-confirmations

install package

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-inception": {
      "command": "node",
      "args": ["~/Documents/Cline/MCP/mcp-inception/build/index.js"], // build/index.js from this repo
      "disabled": false,
      "autoApprove": [],
      "env": {
        "MCP_INCEPTION_EXECUTABLE": "./run_llm.sh", // bash file from Development->Dependencies
        "MCP_INCEPTION_WORKING_DIR": "/mcp-client-cli working dir"
      }
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

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About

Details

Jump to

Setting up with Highlight

From the repository

execute_mcp_client

execute_parallel_mcp_client

execute_map_reduce_mcp_client

Claude Desktop / Cursor

Linux

Macos

Windows

Disclaimer

mcp-inception MCP Server

Features

Tools

Development

Dependencies:

install package

Installation

Debugging

Install

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`execute_map_reduce_mcp_client`