Slickflow
.NET Open Source Workflow Engine, AI Empowerment
Slickflow MCP server (sfmcp) is a Model Context Protocol interface that exposes a .NET workflow engine as a set of 14 callable tools for AI assistants and orchestration platforms. It enables AI agents to create and manage BPMN workflow definitions, start process instances, complete tasks, and manipulate process variables through standardized MCP protocol communication. The server bridges conversational AI with enterprise workflow automation, allowing assistants like Claude or GPT to drive complex business processes through natural-language instructions. Built on the Slickflow workflow engine, it integrates LLM nodes, RAG capabilities, multi-agent orchestration, and traditional human approval workflows.
Key Features
Use Cases
- 01AI-driven process automation where conversational agents start and advance business workflows based on chat instructions
- 02Workflow introspection and debugging via AI assistant queries of running instances and task states
- 03Dynamic variable injection where AI agents compute results and write them into live process instances
- 04Multi-agent procurement processes with collaborative reasoning chains across specialized agents
- 05Backend batch processing and microservice orchestration through code-defined auto-execution workflows
- 06Hybrid human-AI approval workflows combining LLM reasoning with traditional BPM task routing
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Slickflow — FAQ
What is the Slickflow MCP server?+
The Slickflow MCP server (sfmcp) is a Model Context Protocol interface that exposes a .NET workflow engine as callable tools, allowing AI assistants to create, manage, and execute BPMN business processes through standardized protocol communication.
How do I install and run the Slickflow MCP server?+
Navigate to the source/sfmcp directory and run 'dotnet run' to start the server. Then configure your AI platform to point at the MCP endpoint using either stdio or HTTP transport. Docker images are also available for quick deployment with pre-configured PostgreSQL, MySQL, or SQL Server connections.
Which AI clients work with this MCP server?+
The server implements the standard Model Context Protocol and works with any MCP-compatible AI assistant or orchestration platform, including Claude and GPT-based systems that support MCP tool calling.
Do I need API keys or a database to use it?+
For AI-enhanced workflows using LLM nodes, you need API keys for OpenAI or QianWen. The engine requires a database connection (PostgreSQL, MySQL, SQL Server, or Oracle) for persistent workflows, though code-defined auto-execution can run fully in-memory without database dependencies.
Is the Slickflow MCP server free to use?+
Yes, Slickflow is released under the MIT open source license and can be used in commercial projects. Enterprise support and extended editions are available separately.
What tools does the MCP server expose?+
The server exposes 14 tools organized into five categories: process definition operations (GetProcessList, GetProcessDetail, CreateProcess), instance control (StartProcess, RunProcess, GetProcessInstance), task management (GetTaskList, GetTaskDetail, CompleteTask), variable access (GetVariables, SetVariable), and knowledge base functions (SearchDocuments, SaveDocument, GetDocuments).
How do I install Slickflow?+
Open the source repository on GitHub and follow its README. Slickflow is a mcp server — MCP Agents Market links you directly to the official repo.
Is Slickflow free?+
Slickflow is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.