TensorFeed for LangChain
ai.tensorfeed/mcp-server
AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
client:LangChain
transport:streamable-http
runtime:npm
tools:27
Install TensorFeed in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-server": {
"transport": "streamable_http",
"url": "https://mcp.tensorfeed.ai/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_news_articles
- get_status_summary
- get_models
- get_cve_record
- get_kev_catalog
- get_epss_score
- get_osv_advisory_for_package
- get_osv_advisory_by_id
- check_ai_supply_chain_risk
- check_agent_reputation
- search_agent_directory
- get_verified_hireable_status
- list_directory_skills
- check_free_tier_status
- submit_wantlist_item
- register_free_watch
- search_sec_edgar
- get_sec_submissions
- lookup_sec_company_ticker
- query_fda
- get_eia_series
- get_research_papers
- get_weather_alerts
- get_recent_earthquakes