Dropspace for LangChain
io.github.jclvsh/dropspace
Create, schedule, and publish social media launches across platforms, then read the analytics.
client:LangChain
transport:streamable-http
runtime:npm
tools:40
Install Dropspace in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"dropspace": {
"transport": "streamable_http",
"url": "https://api.dropspace.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_launches
- create_launch
- get_launch
- update_launch
- delete_launch
- publish_launch
- retry_launch
- generate_content
- get_launch_analytics
- get_batch_launch_analytics
- get_launch_status
- retry_launch_content
- delete_post
- delete_all_posts
- list_personas
- create_persona
- get_persona
- update_persona
- delete_persona
- analyze_persona
- finalize_persona
- discard_persona_analysis
- list_connections
- update_connection_profile