MCP.so
Sign In

Workflow Orchestrator MCP Server

@jeanibarz

Repository

About Workflow Orchestrator MCP Server

No overview available yet

Basic information

Category

Reasoning

License

Unlicense license

Runtime

python

Transports

stdio

Publisher

jeanibarz

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "orchestrator-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Workflow Orchestrator MCP Server?

An AI-powered MCP server that manages and executes complex, dynamic workflows using a Large Language Model for intelligent decision-making. It is designed for developers who need adaptable, non-linear workflows within MCP-compatible clients like Cline.

How to use Workflow Orchestrator MCP Server?

Install dependencies with uv sync, set required environment variables (WORKFLOW_DEFINITIONS_DIR, WORKFLOW_DB_PATH, GEMINI_MODEL_NAME), then run uv run python -m orchestrator_mcp_server or the orchestrator-mcp-server command. The server exposes MCP tools: list_workflows, start_workflow, get_workflow_status, advance_workflow, resume_workflow. Workflows are defined as Markdown files in the configured definitions directory.

Key features of Workflow Orchestrator MCP Server?

  • AI-driven decisions for dynamic branching and error handling.
  • Workflows and steps defined in human-readable Markdown.
  • Persistent state stored in a local SQLite database.
  • Resumption of interrupted workflows with state reconciliation.
  • Reusable, modular step definitions.
  • Human-readable and editable workflow definitions.

Use cases of Workflow Orchestrator MCP Server?

  • Automating multi-step code review and refactoring processes.
  • Managing long-running task pipelines that can be paused and resumed.
  • Creating adaptable GitLab issue analysis workflows.
  • Generating commit suggestions or jokes with dynamic AI steps.
  • Building custom orchestration logic for data processing or CI/CD.

FAQ from Workflow Orchestrator MCP Server

How is the server configured?

Configuration is done via environment variables: WORKFLOW_DEFINITIONS_DIR (path to Markdown workflow files), WORKFLOW_DB_PATH (path to SQLite database), GEMINI_MODEL_NAME (e.g., `gemini-2.

Comments

More Reasoning MCP servers

Agenticstore — The Open Source Standard For Local Mcp Tooling

agenticstore

AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.

4

Proplan Mcp

King-Proplan

MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off

5

n8n Workflow Builder MCP

ifmelate

MCP server that allow LLM in agent mode builds n8n workflows for you

51

Part 1. Real-Time LangGraph Agent with MCP Tool Execution

junfanz1

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent

27

Task Planner MCP Server

CaptainCrouton89

An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.

13