Besidka for LangChain
com.besidka/mcp
Besidka models, providers and key guides, plus your chats, projects, files, memory and settings.
client:LangChain
transport:streamable-http
tools:48
Install Besidka in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://besidka.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
- add_memory
- add_project_note
- add_project_text
- branch_chat
- create_artifact
- create_file
- create_project
- delete_artifacts
- delete_chat_message
- delete_chats
- delete_files
- delete_memory
- delete_project_knowledge_items
- delete_project
- get_artifact
- get_chat
- get_key_guide
- get_page
- get_project
- get_settings
- list_artifact_shares
- list_artifacts
- list_chats
- list_feature_access