MCP服务器用于问题分解和多角色协同解决方案
MCP服务器用于问题分解和多角色协同解决方案. That is what the problem solving mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
This is an intelligent problem-solving MCP server that creates 3-12 professional roles based on problem complexity, uses the Eisenhower Matrix for priority management, and implements parallel processing optimization to generate comprehensive, executable, and efficient solutions.
The server publishes 14 tools. What each one is for:
create_problem — Create problem definitionsolve_problem — Intelligent problem solving (core function)get_role_recommendations — Get role configuration suggestionscheck_solution — Check solution qualityget_problem_history — View problem historyget_team_status — View team statusupdate_team_member — Update team memberassign_task — Assign taskseisenhower_matrix_analysis — Important-urgent quadrant analysisanalyze_task_dependencies — Task dependency analysisoptimize_parallel_execution — Parallel execution optimizationget_execution_report — Get execution reportSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Problem Solving MCP's toolset — create_problem, solve_problem, get_role_recommendations and 11 more — is a fair guide to whether it matches your workflow. It is maintained by TerLand0berver; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Problem Solving MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| create_problem | Create problem definition |
| solve_problem | Intelligent problem solving (core function) |
| get_role_recommendations | Get role configuration suggestions |
| check_solution | Check solution quality |
| get_problem_history | View problem history |
| get_team_status | View team status |
| update_team_member | Update team member |
| assign_task | Assign tasks |
| eisenhower_matrix_analysis | Important-urgent quadrant analysis |
| analyze_task_dependencies | Task dependency analysis |
| optimize_parallel_execution | Parallel execution optimization |
| get_execution_report | Get execution report |
| create_reflection | Create reflection record |
| get_reflection_summary | Get reflection summary |
{
"mcpServers": {
"problem-solving": {
"command": "node",
"args": ["/path/to/problem-solving-mcp/dist/index.js"],
"cwd": "/path/to/problem-solving-mcp",
"env": {
"NODE_ENV": "production"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
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