Added Flowise integration docs

docs/README.md

@@ -14,6 +14,7 @@ New to Teradata MCP Server? Choose your 5-minute quickstart to rapidly evaluate
 | [VS Code + Copilot](server_guide/QUICK_START_VSCODE.md) | CLI (uv/pipx) | HTTP | Data Engineering, Agentic app development |
 | [Open WebUI](server_guide/QUICK_START_OPEN_WEBUI.md) | Docker | REST | Local AI, evaluate new LLMs |
 | [Code examples](../examples/README.md) | Python | HTTP | Build your own client. Example library using ADK, Bedrock, Langchain... |
+| [Flowise](../docs/client_guide/Flowise_with_teradata_mcp_Guide.md) | Docker | HTTP | Build AI Agents Visually |
 
 **Other Options:**
 - **[Getting Started Guide](server_guide/GETTING_STARTED.md)** - Detailed path selection and role-based recommendations
@@ -43,6 +44,7 @@ Connect different AI clients to your Teradata MCP Server:
 - **[Open WebUI](client_guide/Open_WebUI.md)** - Web-based interface
 - **[REST API](client_guide/Rest_API.md)** - HTTP/API integration
 - **[MCP Inspector](client_guide/MCP_Inspector.md)** - Debugging and testing tool
+- **[Flowise](client_guide/Flowise_with_teradata_mcp_Guide.md)** - Build AI Agents Visually
 
 ### 🔧 Developer Guide
 Extend and contribute to the Teradata MCP Server:

docs/client_guide/Flowise_with_teradata_mcp_Guide.md

@@ -0,0 +1,169 @@
+# Teradata MCP server in Flowise
+
+> **📍 Navigation:** [Documentation Home](../README.md) | [Server Guide](../README.md#-server-guide) | [Getting started](../server_guide/GETTING_STARTED.md) | [Architecture](../server_guide/ARCHITECTURE.md) | [Installation](../server_guide/INSTALLATION.md) | [Configuration](../server_guide/CONFIGURATION.md) | [Security](../server_guide/SECURITY.md) | [Customization](../server_guide/CUSTOMIZING.md) | [Client Guide](CLIENT_GUIDE.md)
+
+1.	**Make sure you have Teradata database access.** (the most convenient way: Go to https://clearscape.teradata.com create account and login, start the environment and click on Run Demo)
+2.	**Build Teradata mcp server container image** from https://github.com/Teradata/teradata-mcp-server,  run below lines in cmd terminal.
+```
+git clone https://github.com/Teradata/teradata-mcp-server.git
+cd teradata-mcp-server
+# build container from Source code
+docker build --build-arg ENABLE_FS_MODULE=true \
+   --build-arg ENABLE_EVS_MODULE=true \
+   -t teradata-mcp-server:latest .
+
+```
+3. **Build Flowise Container Image** from https://github.com/FlowiseAI/Flowise,  run below lines in cmd terminal.
+
+```
+git clone git clone https://github.com/FlowiseAI/Flowise.git
+cd Flowise
+docker build --no-cache -t flowise:latest .
+```
+
+4.	**Create Common .env file** for teradata-mcp-server and flowise container, 
+```
+mkdir ~/td_ai_stack
+cd ~/td_ai_stack
+vi .env
+```
+```
+# ----------- MCP server and Database Env variables ------------#
+DATABASE_URI=teradata://username:password@host:1025/databasename
+LOGMECH=TD2  #TD2 or LDAP
+TD_POOL_SIZE=5
+TD_MAX_OVERFLOW=10
+TDPOOL_TIMEOUT=30
+
+MCP_TRANSPORT=streamable-http  #stdio, sse, streamable-http
+MCP_HOST=0.0.0.0
+MCP_PORT=8001
+MCP_PATH=/mcp/
+
+# ----- Enterprise Vector Store ----------
+TD_BASE_URL=https://host/api/accounts/40c83ff23b2e    #Your UES_URI, strip off the trailing /open-analytics
+TD_PAT=gwxhQG2UZcDqQlp9LKWjEBfXB7                     #Your PAT
+TD_PEM=./demo_key.pem                                 #Your PEM                                
+VS_NAME=vs_example                                    #Your target Vector Store Name
+
+# ------------ Flowise env varieable -------------------#
+PORT=3000
+CORS_ORIGINS=*
+IFRAME_ORIGINS=*
+DATA_DIR=~/td_ai_stack/.flowise               # host dir to persist data of flowise
+```
+5. **Create docker-compose.yaml file** to up teradata-mcp-server and flowise containers
+```
+cd ~/td_ai_stack
+vi  docker-compose.yaml
+
+```
+```
+services:
+    flowise:
+        image: flowise:latest
+        restart: always
+        environment:
+            - PORT=${PORT}
+            # LOGGING
+            - DEBUG=${DEBUG}
+            # SETTINGS
+            - CORS_ORIGINS=${CORS_ORIGINS}
+            - IFRAME_ORIGINS=${IFRAME_ORIGINS}
+           # Default Teradata Configuration env to refer into flowise
+            - TD_MCP_SERVER=http://teradata-mcp-server:8001/mcp
+        ports:
+            - '${PORT}:${PORT}'
+        container_name: flowise
+        healthcheck:
+            test: ['CMD', 'curl', '-f', 'http://localhost:${PORT}/api/v1/ping']
+            interval: 10s
+            timeout: 5s
+            retries: 5
+            start_period: 30s
+        volumes:
+            - ${DATA_DIR}/.flowise:/root/.flowise
+    teradata-mcp-server:
+        image: teradata-mcp-server:latest
+        restart: always
+        environment:
+            - DATABASE_URI=${DATABASE_URI}
+            - LOGMECH=${LOGMECH}
+            - MCP_TRANSPORT=${MCP_TRANSPORT}
+            - MCP_PATH=${MCP_PATH}
+            - MCP_HOST=${MCP_HOST}
+            - MCP_PORT=${MCP_PORT}
+            - PROFILE=${PROFILE}
+        container_name: teradata-mcp-server
+        ports:
+            - "${MCP_PORT}:${MCP_PORT}"
+        tty: true
+networks:
+  default:
+    name: td-ai-stack
+    external: false
+```
+
+6.  **Up teradata MCP server and flowise container**
+```
+cd ~/td_ai_stack
+mkdir ~/td_ai_stack/.flowise
+docker image ls   # make sure teradata-mcp-server and flowise container images are available
+docker compose up -d --remove-orphans
+```
+
+7. **Validate docker container status**
+```
+dokcer ps
+# teradata-mcp-server container logs
+docker logs teradata-mcp-server -f
+# Flowise Container logs
+docker logs flowise -f
+```
+
+8. **Login to flowise**
+http://IP:3000 or http://127.0.0.1:3000
+
+first time login - Complete organization setup (set any username and password)
+
+![alt text](../media/flowise/flowise-org-setup.png)
+
+9. **How to configure Teradata MCP server into Flowise Agentflow**
+
+   - 9.1. Go Into Agentflows menu and Add new
+   ![alt text](../media/flowise/Agentflow-add.png)
+   - 9.2. Drag and Drop Agent and connect it with Start Node
+   ![alt text](../media/flowise/Drag-Agent.png)
+   ![alt text](../media/flowise/conntect-Agent-with-StartNode.png)
+   - 9.3. Set up LLM credentials and LLM for Agent
+
+        - Double click on Agent-0 , it will show Model to select model from various provider
+        - select provider like Azure ChatOpenAI and set Azure ChatOpenAI Parameters, 
+        - for connect Credentails select -Create New-, fill details and Add
+        ![alt text](../media/flowise/Select-LLM-Provider.png)
+        ![alt text](../media/flowise/Configure-LLM-Model.png)
+        ![alt text](../media/flowise/configure-LLM-creds.png)
+   - 9.4. Add Teradata MCP server as custom MCP server for Tools
+       - Click on Add Tools
+       - Select Custom MCP server
+       - Setup - Custom MCP Server Parameters
+
+        ```
+        {
+            "url": "http://teradata-mcp-server:8001/mcp",
+
+        }
+        ```
+
+       - Refresh Button of Available Actions
+       - Click on Drop down to select tools for Agent
+       ![alt text](../media/flowise/Select-custom-mcp.png)![alt text](../media/flowise/Configure-custom-mcp.png)
+       ![alt text](../media/flowise/MCP-tools-Drop-down.png)![alt text](../media/flowise/Select-tools-from-mcp.png)
+
+10.  **Save Agentflow with anyName**
+![alt text](../media/flowise/Save-AgentFlow.png)
+
+11. **Execute AgentFlow**
+![alt text](../media/flowise/Execute-Agent-Flow.png)
+
+![alt text](../media/flowise/tool-execution.png)