JW Research MCP

Item: JW Research MCP
Rating: 74
Author: M8ven

A remote MCP server for traceable research across JW.org and the Watchtower Online Library, providing tools for searching, retrieving articles, footnotes, cross-references, and daily texts with optional AI-powered synthesis.

→ prreobby/jw-research-mcp · listed on glama

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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 3 credentials: KIMI_API_KEY, MCP_AUTH_SECRET, MOONSHOT_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.

configCACHE_TTL_SECONDS— 900 In-memory fetch cache TTL

configDEFAULT_LANGUAGE— E Default langwritten value

🔐 secretKIMI_API_KEY— Required only by analyze_research

configKIMI_BASE_URL

configKIMI_MODEL— kimi-k3 Kimi model used for research synthesis

configMCP_AUTH— MCP_TRANSPORT=http =false npm run start:http

🔐 secretMCP_AUTH_SECRET— Required when OAuth is enabled; minimum 8 characters

configMCP_BASE_URL— local URL Public Railway URL used in OAuth metadata

configMCP_PORT— PORT / 8080 HTTP listen port

configMCP_TRANSPORT— http MCP_AUTH=false npm run start:http

🔐 secretMOONSHOT_API_KEY

configPORT— / MCP_PORT 8080 HTTP listen port

// 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 2 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/prreobby-jw-research-mcp-1lkk9m)](https://m8ven.ai/mcp/prreobby-jw-research-mcp-1lkk9m)

commit: 97ad480e65c32905d7ae85b4b0954066ddd96064

code hash: d1da137453d7a5ae8d96445fdb09b5c3e9aa5c0a0b6c699f0f9e1c1442301e93

verified: 7/29/2026, 9:34:52 AM

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