Notes

Okay, it looks like you've made significant progress! Let's break down what you've done and what the next steps are, based on your console output and screenshots.

Here's what you've successfully accomplished:

MySQL MCP Server is running:

You started the MySQL MCP server from ~/dev/lakshmi/mcp_servers/mysql/mysql-mcp.
It's listening on port 8080, with endpoints http://localhost:8080/mcp and http://localhost:8080/sse.
The Postman screenshot Screenshot (571).png shows you've successfully connected to http://localhost:8080/sse and it's listing connect_mysql, query_mysql, etc., which indicates the server is active and responding.
Important Note: The documentation you provided earlier states the MySQL MCP server should be on port 3000 (http://23.20.141.9:3000/mcp). Your local setup is running on 8080. This is fine for local testing, but keep the IP 192.168.86.22 and port 3000 in mind for the deployed version on the VM.
OracleDB MCP Server is running:

You started the OracleDB MCP server from ~/dev/lakshmi/mcp_servers/oracle/oracledb-mcp.
It's listening on port 8081, with endpoints http://localhost:8081/mcp and http://localhost:8081/sse.
The Postman screenshot Screenshot (572).png shows you've successfully connected to http://localhost:8081/sse and it's listing connect_oracledb, query_oracledb, etc.
Important Note: Similar to MySQL, the documentation specifies port 3083 (http://192.168.86.22:3083/mcp) for the deployed OracleDB MCP server. Your local instance is on 8081.
LangGraph Agent Controller is running:

You successfully activated the virtual environment (source venv/bin/activate).
You started the LangGraph agent controller API from ~/dev/lakshmi/agents/langgraph/langgraph-agent using python src/api.py.
It's running on port 8083 (http://0.0.0.0:8083).
The logs show "Initialized 10 tools" and "Initialized 2 resources from 2 MCP servers", which means it has successfully detected and loaded the capabilities from your running MySQL (8080) and OracleDB (8081) MCP servers. This is excellent!
Important Note: The documentation indicates the deployed LangGraph agent runs on port 7089 (http://192.168.86.22:7089). Your local instance is on 8083.
Next Steps - Testing and Interaction:

Now that your servers and agents are running locally within your VM (and accessible via localhost from within the VM, or via their respective IP addresses if configured for external access within the VPN, which they are based on the 0.0.0.0 binding), you can proceed with testing their functionality.

Here's a breakdown of what to do next:

1. Test the LangGraph Agent Controller
This is the primary component you'll interact with, as it orchestrates calls to the MCP servers.

Access Point: The LangGraph agent is running on http://0.0.0.0:8083 (which means it's listening on all available network interfaces, so you can access it via http://127.0.0.1:8083 or http://localhost:8083 from within the cn-mcp02 VM itself).
Endpoints:
GET http://localhost:8083/ (for basic status check)
POST http://localhost:8083/test (standard request-response)
POST http://localhost:8083/chat (streaming chat response)
How to Test (Using Postman, from within the VM or from your local machine via VPN):

Open a new request in Postman.

Set the Method to POST.

Set the URL to http://192.168.86.22:8083/chat (or /test if you prefer non-streaming). If you are running Postman on the VM itself, you can use http://localhost:8083/chat.

Go to the "Body" tab, select raw and choose JSON from the dropdown.

Enter the following JSON payload:

JSON

{
"messages": [
{"role": "user", "content": "What tables are available in the MySQL database?"}
]
}
Note: The agent will use the list_tables_mysql tool internally. If the MySQL MCP server doesn't have a configured database (you saw "WARNING: Using default database configuration as fallback"), it might not return meaningful data yet.
Send the request. Observe the response in Postman. The agent should process your request, use the appropriate MCP tool, and return a response.

2. Verify MCP Server Database Configuration
Your MCP servers are currently running with "default database configuration as fallback" because environment variables (like MYSQL_HOST, MYSQL_USER, etc.) or a db.json file were not found.

For robust functionality, you need to configure your database connections.

Option 1: db.json file (Recommended for development):

In the mysql-mcp directory (e.g., ~/dev/lakshmi/mcp_servers/mysql/mysql-mcp), create a db.json file.

Add your MySQL database connection details to it. Refer to the documentation on "Database Configuration" and "Usage - Database Configuration" for the expected format. It typically involves a JSON object with connection URLs and descriptions.

Example (Conceptual - adjust for your actual MySQL setup):

JSON

{
"databases": [
{
"name": "your_mysql_db_name",
"connectionUrl": "mysql://user:password@host:port/database",
"description": "Your main application database",
"tables": [
{
"name": "users",
"description": "Stores user information including id, name, and email."
},
{
"name": "products",
"description": "Contains details about products like product_id, name, and price."
}
]
}
]
}
Do the same for the oracledb-mcp directory if you want to connect to an Oracle database.

Option 2: Environment Variables: You can also set these variables in the environment before running npm start. This is often done for deployed environments (e.g., in a systemd service file or Docker).

After configuring: Restart your MySQL and OracleDB MCP servers (Ctrl+C then npm start in their tmux sessions) so they pick up the new configuration.

3. Test Specific MCP Tools (Optional, but good for debugging)
You can also directly test the MCP server tools via Postman, although the agent is designed to abstract this. This is useful if the agent isn't getting the results you expect, to pinpoint if the issue is with the agent's logic or the MCP server's database connection/tool execution.

For MySQL MCP (on port 8080):
Use POST requests to http://localhost:8080/mcp (Streamable HTTP) or http://localhost:8080/sse (Legacy SSE).

The query_mysql tool requires a sql parameter in the request body.

Example Postman Body for query_mysql on /mcp (Streamable HTTP):

JSON

{
"id": "1",
"type": "tool_code",
"code": {
"name": "query_mysql",
"params": {
"sql": "SELECT * FROM your_table_name LIMIT 10"
}
}
}
Note: The structure for MCP requests might be slightly different depending on the client. The example above is a common MCP tool invocation structure.
Summary of Next Steps:
Test LangGraph Agent: Send test chat messages to http://192.168.86.22:8083/chat using Postman (or http://localhost:8083/chat if Postman is on the VM).
Configure Database Connections: Create db.json files in your mysql-mcp and oracledb-mcp directories with actual database connection details. Restart the MCP servers after making these changes.
Retest LangGraph Agent: After configuring the databases, retest the LangGraph agent with queries that require database interaction (e.g., "List all tables", "Query data from the 'users' table").
You're in a great position to start interacting with your LLM deployment!