mcp knowledge for LangChain
io.github.getgapup/mcp-knowledge
100+ MCP tools for AI agents: content metadata, trade intelligence, business-expertise analysis.
client:LangChain
transport:streamable-http
tools:279
Install mcp knowledge in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-knowledge": {
"transport": "streamable_http",
"url": "https://mcp.gapup.io",
}
})
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
- content_catalog
- content_enrichment
- content_discovery
- content_similar
- content_taxonomy
- content_audience_profile
- content_provenance
- content_compare
- content_ranking
- ftg_market_gap
- building_enrich
- web_search
- web_answer
- web_contents
- prediction_markets_search
- polymarket_markets
- polymarket_events
- kalshi_markets
- ftg_production_methods
- ftg_sourcing_buyers
- ftg_opportunity_scout
- ftg_business_plan
- ftg_production_economics
- ftg_investor_directory