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Connect AI assistants to Langflow to build, manage, and automate workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "langflow-mcp-server" yet — see the docs or source repo.
Using the Langflow MCP server, create a workflow that takes a user question, runs knowledge base retrieval, then uses an LLM to generate an answer, and return a summary of the flow configuration.
Returns the created workflow details, including node structure, key settings, and execution logic.
Read my existing customer support bot flow in Langflow, inspect model parameters and connections, change the temperature to 0.2, and list the differences before and after the update.
Provides the inspection results and completes the configuration update with a before-and-after change summary.
List all available flows in the Langflow workspace, categorize them by purpose, and identify which ones are suitable for content generation, data processing, and customer support automation.
Returns a flow inventory, categorized results, and recommended use cases for each flow.
Use natural language to build, manage, and run Langflow workflows.
Access and manage Langfuse prompts through MCP for faster prompt workflows.
Build AI agent workflows and automate tasks using MCP-connected services.
Monitor AI systems, traces, and quality metrics with Langfuse observability.
Add agentic tools with iterative reasoning and tool use to apps
Run a safe local development loop with patching, testing, and fixes.