Niche — Editorial Intelligence for LangChain
com.nicheangle/niche
Find the stories worth writing about: discover emerging stories, rank the angle, draft from sources.
client:LangChain
transport:streamable-http
tools:25
Install Niche — Editorial Intelligence in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"niche": {
"transport": "streamable_http",
"url": "https://api.nicheangle.com/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
- niche_signal_scan
- niche_draft_direct
- niche_intelligence_query
- niche_session_state
- niche_angle_propose
- niche_draft_create
- niche_draft_revise
- niche_draft_publish
- niche_brand_profile_set
- niche_list_sessions
- niche_brand_kit_ingest
- niche_brand_kit_ingest_status
- niche_voice_profile_ingest
- niche_brand_profile_get
- niche_brand_kit_guided_setup
- niche_brand_kit_update
- niche_render_image_card
- niche_render_reel
- niche_session_revert
- niche_session_cancel
- niche_session_export
- niche_add_output
- niche_reuse_asset
- niche_attach_image