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  3. Langchain Agent Python
MCP server · RAG

Langchain Agent Python

A multi-step LangChain v1 sales-conversation agent that uses the Azure OpenAI Responses API, an MCP server with Postgres + pgvector for grounding in catalog and action withCRM tools

Unclaimed rag
39Low

Scored a month ago · breakdown

About Langchain Agent Python

Langchain Agent Python is an MCP server in the RAG category: a multi-step LangChain v1 sales-conversation agent that uses the Azure OpenAI Responses API, an MCP server with Postgres + pgvector for grounding in catalog and action withCRM tools.

Install

From source
git clone https://github.com/Azure-Samples/langchain-agent-python

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (9)

compare_plansobjection

Parameters not published.

execute_sales_queryanalytics escape hatch

Parameters not published.

get_current_utc_dateany

Parameters not published.

get_pricingeducate, objection

Parameters not published.

get_product_detailseducate

Parameters not published.

get_table_schemasanalytics escape hatch

Parameters not published.

search_case_studieseducate, objection

Parameters not published.

search_kb_articleseducate, objection

Parameters not published.

semantic_search_productseducate

Parameters not published.

Ask AI

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Security checks

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Questions

About Langchain Agent Python

How do I install Langchain Agent Python?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Langchain Agent Python safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Langchain Agent Python still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.