knitify-research-api
mcpsmitheryPubMed research tools for AI agents — 3 tools, structured JSON output, verified citations. 1. research — Ask any health or science question and get a fully cited research article backed by real PubMed papers with PMIDs. 2. analyze_product — Point to any health product URL and get a PubMed-backed evidence analysis of its ingredients and claims. Perfect for science-backed product research, marketing, and commercialization. 3. find_clinical_evidence — For any health research question, get a research report backed by PubMed literature and recruiting clinical trials from ClinicalTrials.gov relevant to your target conditions or interventions. All tools return typed JSON via outputSchema — not raw abstracts. 7 output languages. Credit-based pricing.
By Smithery | 6 findings | Scanned 4/19/2026 | tooltrust-scanner/v0.3.8
Risk Summary
Safe With Normal ControlsExcessive Permissions is the main signal, but overall risk remains within an acceptable range.
Potential impact: The agent may gain overly broad access to files, network, databases, or execution capabilities.
Recommended action: No high-risk findings were detected in this scan, but you should still apply least-privilege defaults and rescan after changes.
Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.
Security Findings (6)
tool declares network permission
researchanalyze_productFix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.
tool performs network or execution operations but declares no rate-limit, timeout, or retry configuration
researchanalyze_productFix: Declare explicit rate-limit, timeout, and retry configuration for all network and execution tools. Implement exponential back-off and surface resource state to the calling agent.
Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.
researchanalyze_productFix: Review and remediate the identified issue.
Scan this tool yourself
Reproduce this audit locally, integrate into CI, or let your agent audit its own tools.
Install once, then scan any MCP server:
$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash$ tooltrust-scanner scan --server "npx -y knitify-research-api"Adjust the package name if your npm registry name differs from the tool ID. View source
Add badge to your README
Copy this Markdown to show your ToolTrust grade on GitHub.
[](https://github.com/AgentSafe-AI/tooltrust-directory)