MCP server for Langflow — gives AI assistants full access to Langflow workflow automation (93 tools, consolidated mode)
{
"mcpServers": {
"langflow-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP server for Langflow — gives AI assistants full access to Langflow workflow automation (93 tools, consolidated mode)
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MIT. View license →
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Last commit 9 days ago. 8 stars.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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No known vulnerabilities.
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A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Langflow workflow automation platform.
langflow-mcp-server serves as a bridge between Langflow's workflow automation platform and AI models, enabling them to understand and work with Langflow flows effectively.
API Compatibility: This server is built on the Langflow API documentation and supports Langflow API version 1.7.2.
Version 3.0.0 introduces Consolidated Tools Mode - a new architecture that groups 93 individual tools into 15 action-based tools. This significantly reduces token usage and improves AI assistant context management.
| Mode | Tools | Best For | |------|-------|----------| | Standard | 93 tools | Full granular control | | Consolidated | 15 tools | Reduced token usage, better context |
To enable consolidated mode:
LANGFLOW_CONSOLIDATED_TOOLS=true
Consolidated tools:
flow - All flow operations (list, get, create, update, delete, download, upload, etc.)flow_execution - Run flows (run, run_advanced, run_session, webhook, process, predict)build - Build operations (start, status, cancel, vertices)folder - Folder management (list, get, create, update, delete, download, upload)project - Project management (list, get, create, update, delete, download, upload)variable - Variable operations (list, create, update, delete)knowledge_base - Knowledge base management (list, get, delete, bulk_delete, upload)file - File operations (list, upload, download, delete, get_image)monitor - Monitoring (builds, messages, sessions, transactions)user - User management (list, get, get_current, update, reset_password)auth - Authentication (login, auto_login, logout, refresh, api keys)store - Component store (list, get, tags, likes)registration - User registration (get, register)validation - Code/prompt validation (code, prompt)system - System info (health, version, logs, pictures, voices)It provides structured access to:
# Install from npm
npm install -g langflow-mcp-server
# OR clone the repository
git clone https://github.com/nobrainer-tech/langflow-mcp.git
cd langflow-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Configure environment
cp .env.example .env
# Edit .env with your Langflow instance URL and API key
Edit .env file:
LANGFLOW_BASE_URL=http://localhost:7860
LANGFLOW_API_KEY=your-api-key-he
... [View full README on GitHub](https://github.com/nobrainer-tech/langflow-mcp#readme)