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Patsnap Solution Engine

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6 toolsv1.0.0
Overview

About

A TRIZ concept-solution generation MCP for tackling complex R&D challenges and reducing product costs. Based on the task objective, the system enters either an innovation problem-solving workflow or an R&D cost-reduction workflow: the former generates innovative concept solutions through problem analysis, case matching, and TRIZ methods; the latter uses product structure, function, and cost information, together with TRIZ/DFMA diagnosis and trimming, to generate cost-reduction solutions and benefit estimates. It supports task progress tracking, candidate solution retrieval, and solution detail queries, helping enterprise agents efficiently produce concept solutions that can be evaluated. A complete solution generation run typically takes about 5–10 minutes. Actual processing time may vary depending on task complexity, the completeness of the input information, and system load. Please allow sufficient time for processing.

Capabilities

run_triz_reduction_task

Create and submit a TRIZ/DFMA cost-reduction task. The task runs in automatic mode in the background, resolving intermediate choices with the highest-priority option. Use the returned job_id with fetch_triz_reduction_task_stream to receive progress and candidate cost-reduction solutions. This tool accepts exactly one required argument whose key must be user_input and whose value should be the complete natural-language request; user_input is limited to 1,000 characters in the CN region and 500 characters in other regions.

Arguments
user_input* Requiredstring

Required. Put the complete natural-language TRIZ/DFMA cost-reduction request in this field to create a new cost-reduction task and run the workflow until concept solutions are generated. The argument key must be exactly `user_input`.

run_triz_innovation_task

Create and submit a TRIZ innovation task. The task runs in automatic mode in the background, resolving intermediate choices with the highest-priority option. Use the returned job_id with fetch_triz_innovation_task_stream to receive progress and candidate concept solutions. This tool accepts exactly one required argument whose key must be user_input and whose value should be the complete natural-language request; user_input is limited to 1,000 characters in the CN region and 500 characters in other regions.

/run_triz_innovation_task

fetch_triz_reduction_task_stream

Stream asynchronous progress, tool outputs, assistant messages, final candidate cost-reduction solutions, and structured cost, trimming, and DFMA module results for a cost-reduction task by job_id.

/fetch_triz_reduction_task_stream

fetch_triz_reduction_solution_detail

Generate or retrieve detailed content for a selected TRIZ/DFMA cost-reduction concept solution using the cost-reduction task job_id and candidate idea_id.

/fetch_triz_reduction_solution_detail

fetch_triz_innovation_task_stream

Stream asynchronous progress, tool outputs, assistant messages, final candidate concept solutions, and structured innovation-analysis module results for an innovation task by job_id.

/fetch_triz_innovation_task_stream

fetch_triz_innovation_solution_detail

Generate or retrieve detailed content for a selected TRIZ innovation concept solution using the innovation task job_id and candidate idea_id.

/fetch_triz_innovation_solution_detail

What is Patsnap Solution Engine MCP Server?

A TRIZ concept-solution generation MCP for tackling complex R&D challenges and reducing product costs. Based on the task objective, the system enters either an innovation problem-solving workflow or an R&D cost-reduction workflow: the former generates innovative concept solutions through problem analysis, case matching, and TRIZ methods; the latter uses product structure, function, and cost information, together with TRIZ/DFMA diagnosis and trimming, to generate cost-reduction solutions and benefit estimates. It supports task progress tracking, candidate solution retrieval, and solution detail queries, helping enterprise agents efficiently produce concept solutions that can be evaluated. A complete solution generation run typically takes about 5–10 minutes. Actual processing time may vary depending on task complexity, the completeness of the input information, and system load. Please allow sufficient time for processing.

Capabilities

  • Create and submit a TRIZ/DFMA cost-reduction task. The task runs in automatic mode in the background, resolving intermediate choices with the highest-priority option. Use the returned job_id with fetch_triz_reduction_task_stream to receive progress and candidate cost-reduction solutions. This tool accepts exactly one required argument whose key must be user_input and whose value should be the complete natural-language request; user_input is limited to 1,000 characters in the CN region and 500 characters in other regions.
  • Create and submit a TRIZ innovation task. The task runs in automatic mode in the background, resolving intermediate choices with the highest-priority option. Use the returned job_id with fetch_triz_innovation_task_stream to receive progress and candidate concept solutions. This tool accepts exactly one required argument whose key must be user_input and whose value should be the complete natural-language request; user_input is limited to 1,000 characters in the CN region and 500 characters in other regions.
  • Stream asynchronous progress, tool outputs, assistant messages, final candidate cost-reduction solutions, and structured cost, trimming, and DFMA module results for a cost-reduction task by job_id.
  • Generate or retrieve detailed content for a selected TRIZ/DFMA cost-reduction concept solution using the cost-reduction task job_id and candidate idea_id.
  • Stream asynchronous progress, tool outputs, assistant messages, final candidate concept solutions, and structured innovation-analysis module results for an innovation task by job_id.
  • Generate or retrieve detailed content for a selected TRIZ innovation concept solution using the innovation task job_id and candidate idea_id.

How to connect

Get a Patsnap Open Platform API key, copy the MCP connection URL from the Connect panel on this page, and add the server to Cursor, Claude Desktop, or another Model Context Protocol-compatible AI agent client.

Example MCP configuration

{
  "mcpServers": {
    "patsnap_solution_engine": {
      "url": "https://connect.patsnap.com/c18800/mcp?apikey={your_api_key}"
    }
  }
}

Use cases

  • Use Patsnap Solution Engine MCP Server to let AI agents access Patsnap innovation intelligence inside agent conversations.

FAQ

What is Patsnap Solution Engine MCP Server?
Patsnap Solution Engine MCP Server is a Patsnap Open Platform Model Context Protocol server that exposes innovation intelligence tools for AI agents and LLM clients.
How does Patsnap Solution Engine MCP Server work with AI agents?
An MCP-compatible client connects to the server URL with your Patsnap Open Platform API key, discovers available tools, and lets the model call Patsnap data and capabilities during conversations.
What tasks can Patsnap Solution Engine MCP Server perform?
Patsnap Solution Engine MCP Server exposes Patsnap tools through the Model Context Protocol so AI agents can retrieve patents, papers, and innovation intelligence during multi-step reasoning.
How do I connect this MCP server to an agent?
Get a Patsnap Open Platform API key, copy the MCP connection URL or JSON config from this page, and add it to your MCP-compatible client following the MCP Quick Start guide.