Benchline for LangChain
io.github.fabwaseem/benchline
Open-source developer, PDF, image, SEO and security tools over a stateless HTTP MCP server. No key.
client:LangChain
transport:streamable-http
tools:82
Install Benchline in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"benchline": {
"transport": "streamable_http",
"url": "https://benchline.fabwaseem.com/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
- generate_llms_txt
- score_ai_seo
- build_open_graph
- list_og_templates
- decode_jwt
- check_robots_txt
- inspect_meta_tags
- build_json_ld
- count_tokens
- explain_cron
- build_nextjs_dockerfile
- format_json
- convert_data_format
- convert_csv_json
- diff_text
- base64_codec
- convert_image
- compress_image
- resize_image
- convert_color
- convert_unix_timestamp
- date_difference
- hash_data
- generate_uuid