Postlyra for LangChain
io.github.prof-1t/postlyra-mcp
Manage Telegram drafts, media, schedules and publications from AI clients.
client:LangChain
transport:streamable-http
tools:32
Install Postlyra in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"postlyra-mcp": {
"transport": "streamable_http",
"url": "https://postlyra.app/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
- get_auth_status
- get_formatting_capabilities
- list_channels
- list_templates
- search_post_drafts
- create_post_draft
- preview_post
- update_post_draft
- attach_media_to_draft
- publish_post
- get_workspace
- update_workspace
- search_posts
- get_post
- show_post_card
- update_post
- copy_post
- archive_post
- restore_post
- list_publications
- schedule_post
- reschedule_publication
- cancel_publication
- apply_post_to_publication