三域医研 · 科研算法引擎 (SanYu Research Engine) for LangChain
io.github.kfx2026/sanyu-research
147 tools: deterministic compute + 39 AI writers; each response self-labels data_source + verified.
client:LangChain
transport:streamable-http
tools:150
Install 三域医研 · 科研算法引擎 (SanYu Research Engine) in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"sanyu-research": {
"transport": "streamable_http",
"url": "https://sanyu.wentangkeji.com/api/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
- academic_polish
- acceptance_probability
- act_crf_suggest_coding
- animal_dose_volume
- animal_randomization
- animal_sample_size
- animal_survival_km
- arrive_checklist
- atac_diff
- bioequivalence_compare
- calibration_curve
- cell_assay_calc
- chip_peak_calling
- citation_format
- citation_verify
- classification_metrics
- cloning_design
- compare_manuscript_versions
- consort_flowchart
- cover_letter
- crf_sdtm_validate
- dataframe_parse
- dataset_columns
- dataset_profile