RanklyBee for LangChain
io.github.dazhiyu0235/ranklybee
SEO research, AI visibility, content, leads, and backlink workflows. Sign in with RanklyBee OAuth.
client:LangChain
transport:streamable-http
tools:194
Install RanklyBee in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"ranklybee": {
"transport": "streamable_http",
"url": "https://api.ranklybee.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
- list_projects
- list_backlink_submission_projects
- get_backlink_submission_profile
- list_backlink_submission_sources
- preflight_backlink_submission
- create_backlink_submission
- get_backlink_submission
- record_backlink_submission_outcome
- list_leads
- get_lead
- list_lead_keywords
- move_lead_stage
- list_sites
- get_site_profile
- update_site_profile
- analyze_site
- get_plan_usage
- get_content_plan
- generate_content_plan
- activate_content_plan
- decide_content_plan
- decide_content_brief
- reschedule_content_brief
- update_content_brief_instructions