Taseli for LangChain
il.co.taseli/taseli
AI campaigner for Google, Meta and TikTok ads, with memory, a plan and owner-approved changes.
client:LangChain
transport:streamable-http
tools:35
Install Taseli in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"taseli": {
"transport": "streamable_http",
"url": "https://mcp.taseli.co.il/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
- get_results
- get_learnings
- get_site_watch
- get_ad_set_health
- get_business
- crm_status
- list_accounts
- get_account_review
- get_guidance
- explain_change
- get_benchmarks
- get_plan
- test_idea
- list_decisions
- what_we_did
- propose_campaign
- send_to_ad
- place_creatives
- get_decision
- propose_change
- get_creatives
- update_brand_kit
- get_creative_strategy
- list_competitors