DataMerge MCP for LangChain
ai.datamerge/mcp
B2B data enrichment for 375M+ companies: legal entities, corporate hierarchies, and contacts.
client:LangChain
transport:streamable-http
tools:23
Install DataMerge MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.datamerge.ai",
}
})
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
- configure_datamerge
- start_company_enrichment
- get_company_enrichment_result
- start_company_enrichment_and_wait
- run_company_enrichment
- run_contact_enrich
- run_contact_search
- get_company
- get_company_hierarchy
- contact_search
- get_contact_search_status
- contact_enrich
- get_contact_enrich_status
- get_contact
- list_lists
- create_list
- get_list_items
- remove_list_item
- delete_list
- get_credits_balance
- health_check
- contact_search_unenriched
- run_contact_search_unenriched