MCP server for connecting AI agents to Flowise instances
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"flowise-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Flowise MCP Server [](https://pypi.org/project/flowise-mcp/) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://flowiseai.com/) An MCP (Model Context Protocol) server that enables AI agents to interact with [Flowise](https://flowiseai.com/) instances. Works with Claude Desktop, VS Code GitHub Copilot, Cursor, and other MCP-compatible clients. ## Features - **Flow Management**: List, create, update, and delete chatflows and agentflows - **Predictions**: Send messages to flows and receive responses - **Flow Analysis**: Analyze configurations with improvement suggestions - **Assistants**: List and inspect Flowise assistants - **Document Stores**: Manage document stores for RAG - **Vector Operations**: Upsert vectors and query vector stores - **Chat History**: Retrieve and delete conversation history - **Variables & Tools**: Manage global variables and tools ## Requirements - Python 3.10+ or [uv](https://docs.astral.sh/uv/) package manager - A running Flowise instance with API access ## Installation ### Option A: Using pip ```bash pip install flowise-mcp ``` ### Option B: Using uv (recommended) ```bash # Install uv first if you don't have it # Windows (PowerShell) powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # macOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh ``` Then configure your AI client to use `uvx flowise-mcp` (see below). ## Configuration ### Environment Variables | Variable | Description | Required | |----------|-------------|----------| | `FLOWISE_BASE_URL` | Your Flowise instance URL | Yes | | `FLOWISE_API_KEY…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.