MCP Inception
M

MCP Inception

A TypeScript-based MCP server that implements an LLM query system, supporting task delegation and context window offloading.
2.5 points
6.8K

What is MCP Inception?

MCP Inception is an MCP server developed based on TypeScript, allowing you to decompose complex tasks into multiple subtasks and assign them to other MCP clients for execution. It supports various functions, such as parallel task processing, map-reduce computation, and external LLM calls.

How to use MCP Inception?

After installation, you can easily configure and run the server. Complex multi-step tasks can be completed with simple commands. For example, you can simultaneously obtain the time information of multiple cities or summarize the document analysis results into a digest.

Applicable Scenarios

Suitable for scenarios that require efficient parallel processing, large-scale data analysis, or cross-domain collaboration, such as knowledge management, market research, text generation, etc.

Main Features

Execute External MCP Client
Send a request directly to another MCP client and obtain its returned result, ignoring intermediate steps.
Parallel Task Execution
Execute the same instruction on a set of input data in parallel to improve efficiency.
Map-Reduce Task Processing
Process each element in parallel first, and then gradually merge the results to generate the final output.
Advantages
Supports highly parallelized computing, significantly improving work efficiency.
Flexible task decomposition mechanism to meet diverse needs.
Easy to integrate into existing systems and can be used without major modifications.
Limitations
Requires additional configuration of environment variables to ensure normal operation.
May face performance bottlenecks for very large datasets.
Depends on the stability and compatibility of the underlying MCP protocol.

How to Use

Install Dependencies
Ensure that Node.js and npm are installed, and then run `npm install` to initialize the project.
Build the Server
Use the following command to compile the server code: `npm run build`.
Start the Server
Run `npm start` to start the MCP Inception server.
Configure the Client
Configure your MCP client according to the documentation and add the server address to the configuration file.

Usage Examples

Get the Current Time of Multiple Cities
Demonstrate how to use the parallel task execution function to quickly obtain the real-time time of multiple cities.
Synthesize Key Insights from Multiple Documents
Show how to integrate the core points of multiple documents through map-reduce operations.

Frequently Asked Questions

How to ensure the normal operation of the MCP Inception server?
What should I do if I encounter a performance bottleneck?

Related Resources

GitHub Repository
Source code address and contribution guidelines.
Official Documentation
Detailed usage instructions and technical details.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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