Iris for LangChain
io.github.jclvsh/iris
Run multi-channel outreach: campaigns, contacts, conversations, and AI-drafted messages.
client:LangChain
transport:streamable-http
runtime:npm
tools:81
Install Iris in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"iris": {
"transport": "streamable_http",
"url": "https://api.iris-ai.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- list_campaigns
- create_campaign
- get_campaign
- update_campaign
- delete_campaign
- list_campaign_contacts
- add_campaign_contacts
- list_campaign_chats
- get_campaign_chat_messages
- rename_campaign_chat
- delete_campaign_chat
- get_campaign_usage
- analyze_campaign
- list_target_profiles
- create_target_profile
- delete_target_profile
- list_contacts
- create_contact
- get_contact
- get_contact_handles
- update_contact
- delete_contact
- bulk_import_contacts
- get_contact_usage