Tatoeba for LangChain
io.github.pipeworx-io/tatoeba
Tatoeba MCP — multilingual sentence corpus.
client:LangChain
transport:streamable-http
runtime:npm
tools:48
Install Tatoeba in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tatoeba": {
"transport": "streamable_http",
"url": "https://gateway.pipeworx.io/tatoeba/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
- ask_pipeworx
- ask_pipeworx_beta
- ask_pipeworx_grounded
- search_within
- deep_research
- discover_tools
- resolve_entity
- compare_entities
- subscribe
- unsubscribe
- list_subscriptions
- recent_alerts
- entity_profile
- recent_changes
- validate_claim
- company_facts
- company_register_search
- scan_dependency
- bet_research
- polymarket_arbitrage
- polymarket_edges
- polymarket_kalshi_spread
- polymarket_fill_risk
- polymarket_edge_tracker