Build a monday.com assistant

from engini import Engini
from engini.providers.anthropic import AnthropicProvider

client = Engini(provider=AnthropicProvider())   # reads ENGINI_API_KEY

# Use the first monday connection on the account
conn_id = next(c.connection_id for c in client.connections.list(application="monday"))

toolset = client.toolset(connections={"monday": conn_id})
tools = toolset.tools()          # monday tools as Anthropic tool dicts

def merge_tool_results(result_messages: list[dict]) -> dict:
    blocks = []
    for message in result_messages:
        blocks.extend(message["content"])
    return {"role": "user", "content": blocks}

import anthropic

SYSTEM_PROMPT = (
    "You are a helpful assistant connected to the user's monday.com account "
    "through Engini tools. Use the tools to answer questions about their "
    "boards, items, users, and teams. When you list things, keep it concise. "
    "If a tool needs an ID you don't have yet, call a tool to look it up first."
)

llm = anthropic.Anthropic()
messages = [{"role": "user", "content": "What boards do I have in monday?"}]

while True:
    reply = llm.messages.create(
        model="claude-sonnet-5",
        max_tokens=1024,
        system=SYSTEM_PROMPT,
        tools=tools,
        messages=messages,
    )

    for block in reply.content:
        if block.type == "text" and block.text.strip():
            print(f"Assistant: {block.text}")
        elif block.type == "tool_use":
            print(f"  · calling {block.name}({block.input})")

    if reply.stop_reason != "tool_use":
        break

    # Engini resolves the connection, runs each call, and formats results.
    messages.append({"role": "assistant", "content": reply.content})
    results = toolset.handle_tool_calls(reply)
    messages.append(merge_tool_results(results))

cd python/examples/monday-agent
uv run agent.py "What boards do I have in monday?"

for c in client.connections.list():
    print(c.application_slug, c.connection_id, c.connection_name)