MCP Inception
Delegate tasks to another MCP client, acting as an agent for your agent.
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
mapPromptwith{item}placeholder for individual item processing - Takes
reducePromptwith{accumulator}and{result}placeholders for combining results - Takes list of
itemsto process - Optional
initialValuefor 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
- Takes
Development
Dependencies:
- Install mcp-client-cli
- Also install the config file, and the mcp servers it needs in
~/.llm/config.json
- Also install the config file, and the mcp servers it needs in
- create a bash file somewhere that activates the venv and executes the
llmexecutable
#!/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.
Похожие серверы
EndNote Library Connector
Search, cite, and read PDFs from your EndNote reference library directly in Claude Desktop
Bookstack MCP
An MCP server for interacting with Bookstack, built with the mcp-framework for Node.js.
Bitrix24
Interact with and manage your Bitrix24 CRM instance through a powerful set of tools.
Flomo
Create notes in Flomo through AI chat interactions in Cursor or Claude desktop.
Rember
Create spaced repetition flashcards in Rember to remember anything you learn in your chats
Saga
A Jira-like project tracker for AI agents — epics, tasks, dependencies, and dashboards, all in local SQLite with zero setup.
Decent Sampler Drums
Generates Decent Sampler drum kit configurations.
Todoist MCP
Manage your Todoist tasks and projects directly from your LLM.
Joplin MCP Server
A server that enables access to Joplin notes and to-dos through the Model Context Protocol (MCP).
Anki MCP Server
Create Anki flashcards using natural language by connecting to the AnkiConnect add-on.