Agent framework integration

StartupHub.ai for LangChain

Load StartupHub as LangChain tools via the MCP adapter: grounded startup, funding, and enrichment data in any chain or LangGraph agent.

Connects via MCP server Connects via Python SDK

Connect

Drop it into LangChain

LangChain speaks the Model Context Protocol, so every StartupHub tool shows up automatically, no per-tool wiring.

python
# pip install langchain-mcp-adapters langgraph
from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
    "startuphub": {
        "url": "https://www.startuphub.ai/api/v1/mcp",
        "transport": "streamable_http",
    }
})
tools = await client.get_tools()   # get_trends, search_startups, enrich_email, ...
# pass tools to create_react_agent / bind to your LLM

Prefer a raw config? This works in any Streamable-HTTP MCP client:

{
  "mcpServers": {
    "startuphub": {
      "url": "https://www.startuphub.ai/api/v1/mcp",
      "transport": "streamable_http"
    }
  }
}

Facts, not guesses

Grounded data your agent can trust

Other tools have your agent web-search and hope. StartupHub returns structured facts from 23k+ startups and 24k+ funding rounds, each with a source URL: capital by sector, biggest rounds, verified emails, detected tech stacks, and public-record dossiers.

Free, no key
get_trendsget_sector_trendsget_arbitrageintel_previewscan_agent_readinessfind_logo
With an API key
search_startupssearch_investorsenrich_companyvalidate_emaildiscover_emailintel_lookup

Ship it in LangChain today

An API key with credit unlocks search, enrichment, contacts, the rest of the tools pay as you go from $0.005 a call.