Santismm Knowledge — Harness Engineering, Agentic AI & Governance for LangChain
com.santismm/knowledge
Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.
client:LangChain
transport:streamable-http
tools:30
Install Santismm Knowledge — Harness Engineering, Agentic AI & Governance in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"knowledge": {
"transport": "streamable_http",
"url": "https://santismm.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
- get_overview
- search_all
- list_knowledge
- get_knowledge
- list_patterns
- get_pattern
- list_architectures
- get_architecture
- list_governance
- get_governance
- list_handbook
- get_handbook
- search
- list_articles
- get_article
- search_articles
- list_labs
- get_lab
- calculate_agent_economics
- calculate_evaluation_sample_size
- calculate_human_supervision_capacity
- get_related
- list_homeric_places
- get_homeric_place