web-researcher-mcp
Reduces hallucination risk in AI-assisted research by grounding responses in verifiable sources, critical for technical decision-making and compliance docume…
Your AI research assistant that cites real sources and stays honest. Search the entire web or narrow it down to just the sites you trust. Works with Claude, Cursor, any MCP client.
- Ask Claude to research current best practices for database optimization with cited sources.
- Generate a competitive analysis by searching only trusted industry analyst websites.
- Find technical documentation and implementation examples across the open web for your stack.
Reduces hallucination risk in AI-assisted research by grounding responses in verifiable sources, critical for technical decision-making and compliance documentation in regulated environments.
Engineering teams and consultants conducting technical research, competitive analysis, or due diligence requiring cited, traceable sources.
https://github.com/zoharbabin/web-researcher-mcp
By zoharbabin
How to Get It
claude mcp add web-researcher-mcp -- npx -y web-researcher-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Research current best practices for database optimization with cited sources
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 43 GitHub stars; 3 contributors; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 43 GitHub stars; 3 contributors; last commit 0d ago; license MIT.