LLM - Tool Calling & MCP

Function Calling - The Manual Tool LOOP

• LLM ( ChatGroq ) Will say which tool needs to be called.
• List or the Object will have some value.

• This is with Langchain and one type of Tool Calling.

Custom Tool

• Its a structured way.

External API Tools

• These are the APIs which we are going to call.

Database Tools

• Create a custom table.
• We are allowing only SELECT in PROD.
• But if we use HUMAN in the loop , then update can be also used - But make sure its also RISK to use in PROD to update a query.
• Qwen Models --> Mostly you can use this for local testing.

MCP - Model Context Protocol

• Its a protocol.

• MCP is a common standard (like USB for AI tools).
• MCP client will decide which method to call.

• இப்ப ஒரு API expose பண்ணும்போது அதுல PUT GET எல்லாமே இருக்கும், but இந்த MCPல , APIல எல்லாத்தையும் club பண்ணி , எல்லாத்தையும் expose பண்ணுவாங்க . MCP cleint will take care which one to call like a Agent.

Questions & Things to know

Notes

• Langchain is a Framework.
• Function description --> https://developers.openai.com/api/docs/guides/function-calling?api-mode=responses
• Tool Calling ( description , above one )
• With pydantic we achieved DATA validation --> Return you will get in Object flow.
• Sqlite --> File based DB.
• esh --> english to shell , project --> https://github.com/numericalworks/esh
• ER Model Will be generated from the tool , before LLM become famous.
• Ollama or Llama cpp ?
• Custom Tool or Function calling --> Both are same , there are different methods.
• General Method --> API with swagger , You will get the request and response with PUT GET etc. Now the MCP Client will search and decide , which method to call.