reach-mcp

Item: reach-mcp
Rating: 69
Author: M8ven

A controllable multi-source search MCP server for AI agents. Enables searching multiple sources like Reddit, X, YouTube, and more, with control over sources, time window, and optional synthesis.

→ xyonium/reach-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.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 6 credentials: SCRAPECREATORS_API_KEY, GH_TOKEN, TRUTHSOCIAL_TOKEN, AUTH_TOKEN, GROQ_API_KEY, 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.

configREACH_MCP_ALLOWED_HOSTS— "reach-mcp:8765,localhost:8765"

🔐 secretSCRAPECREATORS_API_KEY

🔐 secretGH_TOKEN— github GitHub API (optional)

🔐 secretTRUTHSOCIAL_TOKEN— truthsocial Mastodon API

configSEARXNG_URL— web Searxng

🔐 secretAUTH_TOKEN— Login-gated (off by default) x cookies /CT0

configCT0— Login-gated (off by default) x cookies AUTH_TOKEN/

🔐 secretGROQ_API_KEY

🔐 secretOPENAI_API_KEY— OPENAI_BASE_URL, LLM for rerank + brief (your OpenAI-compatible gateway)

configYTDLP_PROXY— Video youtube yt-dlp transcripts (optional)

// 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/xyonium-reach-mcp-143w6b)](https://m8ven.ai/mcp/xyonium-reach-mcp-143w6b)

commit: 4e26c651404a4f6d960781c071d67ff959761ca2

code hash: a1a5449a2d5a625edf36c7050aa66a938d581a54e1a0030213c51c1e0ab3a2f5

verified: 7/30/2026, 8:39:16 AM

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