added tested td agents

.dockerignore

@@ -2,4 +2,5 @@
 .github
 docs
 test
-logs
+logs
+.env

Dockerfile

@@ -5,6 +5,8 @@ WORKDIR /app
 # Build arguments for optional modules
 ARG ENABLE_FS_MODULE=false
 ARG ENABLE_EVS_MODULE=false
+ARG ENABLE_TDVS_MODULE=false
+ARG ENABLE_TDML_MODULE=false
 
 # Copy essential files for dependency installation
 COPY pyproject.toml uv.lock* README.md /app/
@@ -16,8 +18,8 @@ RUN apt-get update && \
     pip install uv mcpo && \
     # Build uv sync command with conditional extras \
     UV_EXTRAS="" && \
-    if [ "$ENABLE_FS_MODULE" = "true" ]; then UV_EXTRAS="$UV_EXTRAS --extra fs"; fi && \
-    if [ "$ENABLE_EVS_MODULE" = "true" ]; then UV_EXTRAS="$UV_EXTRAS --extra evs"; fi && \
+    if [ "$ENABLE_FS_MODULE" = "true" ] || [ "$ENABLE_TDML_MODULE" = "true" ]; then UV_EXTRAS="$UV_EXTRAS --extra fs"; fi && \
+    if [ "$ENABLE_EVS_MODULE" = "true" ] || [ "$ENABLE_TDVS_MODULE" = "true" ]; then UV_EXTRAS="$UV_EXTRAS --extra tdvs"; fi && \
     uv sync $UV_EXTRAS
 
 # Copy source code before building
@@ -26,16 +28,17 @@ COPY ./src /app/src
 # Build and install the package
 RUN uv build && \
     pip install . && \
-    if [ "$ENABLE_FS_MODULE" = "true" ]; then pip install .[fs];fi && \
-    if [ "$ENABLE_EVS_MODULE" = "true" ]; then pip install .[evs];fi && \
+    if [ "$ENABLE_FS_MODULE" = "true" ] || [ "$ENABLE_TDML_MODULE" = "true" ]; then pip install .[fs];fi && \
+    if [ "$ENABLE_EVS_MODULE" = "true" ] || [ "$ENABLE_TDVS_MODULE" = "true" ]; then pip install .[tdvs];fi && \
     apt-get purge -y build-essential gcc && \
     rm -rf /var/lib/apt/lists/*
 
 # Copy everything else
 COPY . /app
 # Remove optional module directories if not enabled
 RUN if [ "$ENABLE_FS_MODULE" != "true" ]; then rm -rf /app/src/teradata_mcp_server/tools/fs; fi && \
-    if [ "$ENABLE_EVS_MODULE" != "true" ]; then rm -rf /app/src/teradata_mcp_server/tools/evs; fi
+    if [ "$ENABLE_EVS_MODULE" != "true" ]; then rm -rf /app/src/teradata_mcp_server/tools/evs; fi && \
+    if [ "$ENABLE_TDVS_MODULE" != "true" ]; then rm -rf /app/src/teradata_mcp_server/tools/tdvs; fi
 # └──────────── End build stage ────────────┘
 
 # ┌───────────── Runtime stage ─────────────┐

README.md

@@ -19,6 +19,9 @@
   <a href="https://pypi.org/project/teradata-mcp-server/">
     <img alt="downloads" src="https://img.shields.io/pypi/dm/teradata-mcp-server?label=downloads&color=2ea44f">
   </a>
+  <a href="./examples/app-flowise/flowise_teradata_agents/README.md">
+    <img alt="docs" src="https://img.shields.io/badge/Teradata--Agents-Setup-green">
+  </a>
 </p>
 
 <p align="center">
@@ -29,6 +32,7 @@
   ✨ <a href="https://github.com/Teradata/teradata-mcp-server?tab=readme-ov-file#quick-start-with-claude-desktop-no-installation">Quickstart with Claude Desktop </a> or <a href="https://github.com/Teradata/teradata-mcp-server/blob/main/docs/README.md#-quick-start"> your favorite tool</a> in <5 minute ✨
 </p>
 
+
 ## Overview
 The Teradata MCP server provides sets of tools and prompts, grouped as modules for interacting with Teradata databases. Enabling AI agents and users to query, analyze, and manage their data efficiently. 
 
@@ -54,6 +58,10 @@ We are providing groupings of tools and associated helpful prompts to support al
 - **DBA** tools, prompts and resources to facilitate your platform administration tasks:
   - [DBA Tools](https://github.com/Teradata/teradata-mcp-server/blob/main/src/teradata_mcp_server/tools/dba/README.md)
   - [Security Tools](https://github.com/Teradata/teradata-mcp-server/blob/main/src/teradata_mcp_server/tools/sec/README.md)
+- **Data Scientist** tools, prompts, and resources to build powerful [AI agents and workflows](./examples/app-flowise/flowise_teradata_agents/README.md) for data-driven applications.
+  - [Teradata Vector Store Tools](./src/teradata_mcp_server/tools/tdvs/README.md)
+  - [Teradataml Functions Tools](./src/teradata_mcp_server/tools/constants.py)
+  - [Plot Tools](./src/teradata_mcp_server/tools/plot/README.md)
 
 ## Quick start with Claude Desktop (no installation)
 > Prefer to use other tools? Check out our Quick Starts for [VS Code/Copilot](https://github.com/Teradata/teradata-mcp-server/blob/main/docs/server_guide/QUICK_START_VSCODE.md), [Open WebUI](https://github.com/Teradata/teradata-mcp-server/blob/main/docs/server_guide/QUICK_START_OPEN_WEBUI.md), or dive into [simple code examples](https://github.com/Teradata/teradata-mcp-server/blob/main/examples/README.md#client-applications)!

docker-compose.yml

@@ -5,6 +5,8 @@ services:
       args:
         - ENABLE_FS_MODULE=${ENABLE_FS_MODULE:-false}
         - ENABLE_EVS_MODULE=${ENABLE_EVS_MODULE:-false}
+        - ENABLE_TDVS_MODULE=${ENABLE_TDVS_MODULE:-false}
+        - ENABLE_TDML_MODULE=${ENABLE_TDML_MODULE:-false}
     image: teradata-mcp-server:latest
     environment:
       - DATABASE_URI=${DATABASE_URI}
@@ -23,6 +25,8 @@ services:
       args:
         - ENABLE_FS_MODULE=${ENABLE_FS_MODULE:-false}
         - ENABLE_EVS_MODULE=${ENABLE_EVS_MODULE:-false}
+        - ENABLE_TDVS_MODULE=${ENABLE_TDVS_MODULE:-false}
+        - ENABLE_TDML_MODULE=${ENABLE_TDML_MODULE:-false}
     image: teradata-mcp-server:latest
     entrypoint: sh -c 'export MCP_TRANSPORT=streamable-http && mcpo --port 8002 --api-key "$MCPO_API_KEY" -- uv run teradata-mcp-server'
     environment:

docs/client_guide/Flowise_with_teradata_mcp_Guide.md

@@ -9,7 +9,8 @@ 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 \
+   --build-arg ENABLE_TDML_MODULE=true \
+   --build-arg ENABLE_TDVS_MODULE=true \
    -t teradata-mcp-server:latest .
 
 ```
@@ -34,6 +35,8 @@ LOGMECH=TD2  #TD2 or LDAP
 TD_POOL_SIZE=5
 TD_MAX_OVERFLOW=10
 TDPOOL_TIMEOUT=30
+PROFILE=dataScientist
+DATABASE_HOST=IP_OF_DB_NODE
 
 MCP_TRANSPORT=streamable-http  #stdio, sse, streamable-http
 MCP_HOST=0.0.0.0
@@ -42,8 +45,8 @@ 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                                
+#TD_PAT=gwxhQG2UZcDqQlp9LKWjEBfXB7                     #Your PAT if you have Teradata Lake system.
+TD_PEM=/root/td_ai_stack/demo_key.pem                 #Your PEM with full path where you kept on host                            
 VS_NAME=vs_example                                    #Your target Vector Store Name
 
 # ------------ Flowise env varieable -------------------#
@@ -73,7 +76,9 @@ services:
            # Default Teradata Configuration env to refer into flowise
             - TD_MCP_SERVER=http://teradata-mcp-server:8001/mcp
         ports:
-            - '${PORT}:${PORT}'
+            - "${PORT}:${PORT}"
+        extra_hosts:
+            - "dbccop1:${DATABASE_HOST}"
         container_name: flowise
         healthcheck:
             test: ['CMD', 'curl', '-f', 'http://localhost:${PORT}/api/v1/ping']
@@ -94,9 +99,17 @@ services:
             - MCP_HOST=${MCP_HOST}
             - MCP_PORT=${MCP_PORT}
             - PROFILE=${PROFILE}
+            - TD_BASE_URL=${TD_BASE_URL}
+            - TD_PAT=${TD_PAT}
+            - TD_PEM=${TD_PEM}
+            - VS_NAME=${VS_NAME}
         container_name: teradata-mcp-server
+        extra_hosts:
+            - "dbccop1:${DATABASE_HOST}"
         ports:
             - "${MCP_PORT}:${MCP_PORT}"
+        volumes:
+            - ${TD_PEM}:${TD_PEM}
         tty: true
 networks:
   default:

docs/developer_guide/DEVELOPER_GUIDE.md

@@ -23,7 +23,7 @@ uv sync                      # create venv and install project deps
 
 > Tip: add extras for full dev (feature store, EVS) if you use them:
 ```bash
-uv sync --extra fs --extra evs
+uv sync --extra fs --extra tdvs
 ```
 
 ### 3) Run the server from source

docs/server_guide/INSTALLATION.md

@@ -110,14 +110,14 @@ docker compose up
 export DATABASE_URI="teradata://username:password@host:1025/database"
 
 # Build with optional modules (Feature Store, Vector Store)
-ENABLE_FS_MODULE=true ENABLE_EVS_MODULE=true docker compose build
+ENABLE_FS_MODULE=true ENABLE_TDVS_MODULE=true docker compose build
 docker compose up
 
 # Run with specific profile
 PROFILE=dba docker compose up
 
 # Combine options
-ENABLE_FS_MODULE=true PROFILE=dataScientist docker compose build
+ENABLE_FS_MODULE=true ENABLE_TDVS_MODULE=true PROFILE=dataScientist docker compose build
 PROFILE=dataScientist docker compose up
 
 # Run in background (production)

env

@@ -6,7 +6,7 @@ TD_MAX_OVERFLOW=10
 TDPOOL_TIMEOUT=30
 
 MCP_TRANSPORT=streamable-http  #stdio, sse, streamable-http
-MCP_HOST=127.0.0.1
+MCP_HOST=0.0.0.0
 MCP_PORT=8001
 MCP_PATH=/mcp/
 

examples/app-flowise/README.md

@@ -1,5 +1,7 @@
 # Flowise Example with Teradata MCP
 
+[![Teradata Agents](https://img.shields.io/badge/Teradata--Agents-Setup-green?style=for-the-badge&logo=teradata)](./flowise_teradata_agents/README.md)
+
 Use this example to locally test Flowise and the Teradata MCP server with recommended defaults. 
 Refer to the [Flowise client guide](./docs/client_guide/Flowise_with_teradata_mcp_Guide.md) for walkthrough and screenshots.
 

examples/app-flowise/docker-compose.yaml

@@ -1,6 +1,6 @@
 services:
     flowise:
-        image: flowiseai/flowise:latest
+        image: flowise:latest
         restart: always
         environment:
             - PORT=${PORT}
@@ -12,7 +12,9 @@ services:
            # Default Teradata Configuration env to refer into flowise
             - TD_MCP_SERVER=http://teradata-mcp-server:8001/mcp
         ports:
-            - '${PORT}:${PORT}'
+            - "${PORT}:${PORT}"
+        extra_hosts:
+            - "dbccop1:${DATABASE_HOST}"
         container_name: flowise
         healthcheck:
             test: ['CMD', 'curl', '-f', 'http://localhost:${PORT}/api/v1/ping']
@@ -21,14 +23,8 @@ services:
             retries: 5
             start_period: 30s
         volumes:
-            - ${DATA_DIR:-./.flowise}:/root/.flowise
+            - ${DATA_DIR}/.flowise:/root/.flowise
     teradata-mcp-server:
-        build:
-            context: ../..
-            dockerfile: Dockerfile
-            args:
-                ENABLE_FS_MODULE: "true"
-                ENABLE_EVS_MODULE: "true"
         image: teradata-mcp-server:latest
         restart: always
         environment:
@@ -39,11 +35,19 @@ services:
             - MCP_HOST=${MCP_HOST}
             - MCP_PORT=${MCP_PORT}
             - PROFILE=${PROFILE}
+            - TD_BASE_URL=${TD_BASE_URL}
+            - TD_PAT=${TD_PAT}
+            - TD_PEM=${TD_PEM}
+            - VS_NAME=${VS_NAME}
         container_name: teradata-mcp-server
+        extra_hosts:
+            - "dbccop1:${DATABASE_HOST}"
         ports:
             - "${MCP_PORT}:${MCP_PORT}"
+        volumes:
+            - ${TD_PEM}:${TD_PEM}
         tty: true
 networks:
   default:
     name: td-ai-stack
-    external: false
+    external: false

examples/app-flowise/env

@@ -4,6 +4,8 @@ LOGMECH=TD2  #TD2 or LDAP
 TD_POOL_SIZE=5
 TD_MAX_OVERFLOW=10
 TDPOOL_TIMEOUT=30
+PROFILE=dataScientist
+DATABASE_HOST=IP_OF_DB_NODE
 
 MCP_TRANSPORT=streamable-http  #stdio, sse, streamable-http
 MCP_HOST=0.0.0.0
@@ -14,7 +16,7 @@ MCP_PATH=/mcp/
 # Inherit from current environment, or un-comment and change as needed
 #TD_VS_BASE_URL=https://host/api/accounts/40c83ff23b2e          #Your UES_URI, strip off the trailing /open-analytics
 #TD_PAT=gwxhQG2UZcDqQlp9LKWjEBfXB7                              #Your PAT token
-#TD_PEM=./demo_key.pem                                          #Your PEM file path
+TD_PEM=./demo_key.pem                                           #Your PEM with full path where you kept on host 
 #VS_NAME=vs_example                                             #Your target Vector Store Name
 
 # ------------ Flowise varibles -------------------#