Model Context Protocol server for Orkes Conductor
unavailable — this listing has no version info in the registry
pypi
uvx conductor-mcp
Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.
claude_desktop_config.json
{
"mcpServers": {
"conductor": {
"command": "uvx",
"args": [
"conductor-mcp"
]
}
}
}Format verified against the official Claude Desktop docs ↗.
terminal
claude mcp add conductor -- uvx conductor-mcp
Format verified against the official Claude Code docs ↗.
.cursor/mcp.json
{
"mcpServers": {
"conductor": {
"command": "uvx",
"args": [
"conductor-mcp"
]
}
}
}Format verified against the official Cursor docs ↗.
.vscode/mcp.json
{
"servers": {
"conductor": {
"command": "uvx",
"args": [
"conductor-mcp"
]
}
}
}Format verified against the official VS Code docs ↗.
mcp_config.json
{
"mcpServers": {
"conductor": {
"command": "uvx",
"args": [
"conductor-mcp"
]
}
}
}Format verified against the official Windsurf docs ↗.
Official · by conductor-oss
Independent, non-official implementations of the Conductor MCP server maintained by the community.
Last verified: 2026-10-15 | Sources: Verification basis ↗
⭐ 16 stars · 最近更新于 225 天前 · Apache-2.0 license
Conductor mcp server Model Context Protocol server for Conductor. This package is used to run an MCP server that is capable of interacting with a Conductor instance. It provides tools for the basic operations that may be needed by an MCP client for Workflow creation, execution, and analysis. PyPi Quickstart Install package Create a JSON config with your Conductor keys > Note: the /api path is required as part of the CONDUCTOR SERVER URL for most applications Plug the server into an AI Agent, such as Claude or Cursor You should now be able to interact with Conductor via your AI Agent. Adding to Claude You can find instructions for adding to Claude here. In general, you just add the mcpServers config (above) to your Claude config (or create it if it doesn't exist). For instance, on Mac it might be /Library/Application\ Support/Claude/claude desktop config.json . Adding to Cursor The main Cursor instructions are here. Go to Cursor -> Settings -> Cursor Settings -> MCP and select "+ Add new global MCP server". Here you can add the exact same configuration file shown in the example for Claude (above). You can then access the AI chat feature and explore the MCP server in the sidebar with ⌘+L (Mac) or Ctrl+L (Windows/Linux). Example prompts Get Flight Risk Info Notify Stocks (May require API Keys) GitHub Quickstart Clone GitHub Repo This project relies on uv Create venv (not entirely necessary, since uv automatically creates and uses the virtual environment on its own when running other commands) Define Env Vars You can continue to use a JSON config file and the --config flag, or if the server is running in an environment where you have control over the environment variables the MCP server will look for them there if a config file is not provided. Configure Your AI Assistant Or Run Server Directly > Note: a local development.py also exists for setting env vars and will be used when the --local dev flag is set.…
Summary from the project README — github.com/conductor-oss/conductor-mcp
Distributed as stdio, listed under Developer Tools. Review our MCP security guide before granting access to real data.
Conductor mcp server Model Context Protocol server for Conductor. This package is used to run an MCP server that is capable of interacting with a Conductor instance. It provides tools for the basic operations that may be needed by an MCP client for Workflow creation, execution, and analysis. PyPi Quickstart Install package Create a JSON config with your Conductor keys > Note: the /api path is required as part of the CONDUCTOR SERVER URL for most applications Plug the server into an AI Agent, such as Claude or Cursor You should now be able to interact with Conductor via your AI Agent. Adding to Claude You can find instructions for adding to Claude here. In general, you just add the mcpServers config (above) to your Claude config (or create it if it doesn't exist). For instance, on Mac it might be /Library/Application\ Support/Claude/claude desktop config.json . Adding to Cursor The main Cursor instructions are here. Go to Cursor -> Settings -> Cursor Settings -> MCP and select "+ Add new global MCP server". Here you can add the exact same configuration file shown in the example for Claude (above). You can then access the AI chat feature and explore the MCP server in the sidebar with ⌘+L (Mac) or Ctrl+L (Windows/Linux). Example prompts Get Flight Risk Info Notify Stocks (May require API Keys) GitHub Quickstart Clone GitHub Repo This project relies on uv Create venv (not entirely necessary, since uv automatically creates and uses the virtual environment on its own when running other commands) Define Env Vars You can continue to use a JSON config file and the --config flag, or if the server is running in an environment where you have control over the environment variables the MCP server will look for them there if a config file is not provided. Configure Your AI Assistant Or Run Server Directly > Note: a local development.py also exists for setting env vars and will be used when the --local dev flag is set.
Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.
The MCP server itself is free to install. The source is public on https://github.com/conductor-oss/conductor-mcp. Any third-party service it calls may require its own API key and account.
Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.
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