TechFabric for LangChain
com.techfabric/techfabric
Write TechFabric posts from your agent. Walk through posts, compare studies, check readiness.
client:LangChain
transport:streamable-http
tools:36
Install TechFabric in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"techfabric": {
"transport": "streamable_http",
"url": "https://www.techfabric.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
- search
- get_page
- list_posts
- get_services
- explore_post
- compare_case_studies
- assess_databricks_readiness
- quiz_me
- visualize
- get_brief
- lint_draft
- check_draft
- submit_draft
- update_draft
- list_drafts
- get_status
- review_before_publishing
- publish_draft
- preview_draft
- revise_post
- start_post
- check_outline
- propose_edits
- apply_edits