web-researcher-mcp: Search the web and primary sources, read full pages, and check every citation

by zoharbabin · MCP Server · ★ 70

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install web-researcher-mcp

claude mcp add --scope user web-researcher -- uvx web-researcher-mcp
brew install zoharbabin/tap/web-researcher-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-agentanti-hallucinationbibliographycitation-verificationclaudeclaude-codeclaude-desktopcontent-extractioncursor

Quick Facts

Stars70
Forks12
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues6
Last Updated2026-10-26
Created2026-05-18
Platformsbrowser, claude-code, codex, go, mcp
Est. Tokens~24k

About web-researcher-mcp

web-researcher-mcp 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; medical journals, court databases, news outlets, academic papers. Analyze the full source, not just snippets. Links that work, citations you can trust, no made up closed garden pre-synthesized results.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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