agentdiet for LangChain
io.github.robertoyanguas-ops/agentdiet
Strips 85-97% of HTML bloat into clean Markdown, <200-token skeletons, or BM25 excerpts via MCP.
client:LangChain
transport:streamable-http
tools:18
Install agentdiet in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"agentdiet": {
"transport": "streamable_http",
"url": "https://agentdiet-72343955726.us-central1.run.app/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
- distill_webpage
- recon_webpage_skeleton
- extract_structured_data
- scan_onchain_address_risk
- get_dex_token_intelligence
- enrich_company_domain
- verify_email_deliverability
- recon_domain_osint
- audit_x402_and_a2a_endpoint
- generate_site_llms_txt
- get_public_company_sec_intel
- audit_github_repository
- search_clean_agent_web
- extract_ecommerce_catalog
- scan_prompt_injection
- repair_malformed_json
- fetch_arxiv_research_digest
- get_agent_wallet_status