Client for joinly: Make your meetings accessible to AI Agents
Project description
joinly-client: Client for a conversational meeting agent used with joinly
Command line usage
Connect to a running joinly server and join a meeting:
uvx joinly-client --joinly-url http://localhost:8000/mcp/ <MeetingUrl>
Add other MCP servers using a configuration file:
{
"mcpServers": {
"localServer": {
"command": "npx",
"args": ["-y", "package@0.1.0"]
},
"remoteServer": {
"url": "http://mcp.example.com",
"auth": "oauth"
}
}
}
uvx joinly-client --mcp-config config.json <MeetingUrl>
Code usage
Direct use of run function:
import joinly_client.run
async def main():
await joinly_client.run(
joinly_url="http://localhost:8000/mcp/",
meeting_url="<MeetingUrl>",
llm_provider="openai",
llm_model="gpt-4o-mini",
prompt="You are joinly, a...",
name="joinly",
name_trigger=False,
mcp_config=None, # MCP servers configuration (dict)
settings=None, # settings propagated to joinly server (dict)
)
Or with only the client and a custom agent:
import asyncio
from joinly_client import JoinlyClient
from joinly_client.types import TranscriptSegment
async def main():
client = JoinlyClient(
joinly_url="http://localhost:8000/mcp/",
name="joinly",
name_trigger=False,
settings=None,
)
# optionally, load all tools from the server
tool_list = await client.client.list_tools()
async def on_utterance(segments: list[TranscriptSegment]) -> None:
for segment in segments:
print(f"Received utterance: {segment.text}")
if "marco" in segment.text.lower():
await client.client.call_tool("speak_text", {"text": "Polo!"})
client.add_utterance_callback(on_utterance)
async with client:
await client.join_meeting("<MeetingUrl>")
await asyncio.Event().wait() # wait until cancelled
Project details
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