mcp for LangChain
com.tweetsmash/mcp
Search, label, and manage your X (Twitter) bookmarks from any MCP client via Tweetsmash
client:LangChain
transport:streamable-http
tools:53
Install mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.tweetsmash.com/api/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_bookmarks
- list_likes
- search_bookmarks
- get_bookmark_count
- list_labels
- add_labels_to_tweets
- remove_labels_from_tweets
- delete_label
- setup_vector_store
- list_skills
- get_skill
- get_library_overview
- search_docs
- get_bookmark
- tag_bookmarks_by_filter
- archive_bookmarks
- archive_bookmarks_by_filter
- list_smart_views
- get_smart_view
- get_smart_view_bookmarks
- create_smart_view
- update_smart_view
- delete_smart_view
- create_share_link