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1 month ago
glama

LangChain Agent RAG MCP

An MCP server integrating LangChain, RAG, and Agent to provide knowledge retrieval and tool invocation through natural language.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAGENT_VERBOSE
🔐 secretOPENAI_API_KEY
configHF_EMBEDDING_DEVICE
configOPENAI_MODEL
configOPENAI_BASE_URL如果你使用的是中转站接口,记得把 改成你的代理地址。
configRAG_TOP_K
configRAG_MIN_SCORE
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/ql1009-langchain-agent-rag-mcp-1nktry)](https://m8ven.ai/mcp/ql1009-langchain-agent-rag-mcp-1nktry)
commit: 8ca78ea17e399b783bfdbbd06d22e34d79a56f61
code hash: 793cbc59c6f3cf7e25ccf75fa9cb9746714fa9c9f263c781181fbf1c2f62f760
verified: 6/21/2026, 10:22:24 AM
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