casestudies-dev
mcpsmitherySearch, analyse, and compare thousands of real company case studies. Built for AI agents, sales teams, and analysts who need instant access to structured case studies across 400+ companies and 1,400+ case studies. Tools include: semantic search by natural language, company analysis (top industries, notable clients, outcome highlights), side-by-side vendor comparison, and chronological timelines for due diligence. Use cases: sales research, competitor analysis, procurement vendor evaluation, VC due diligence, and AI agent RAG pipelines.
By Smithery | 10 findings | Scanned 4/19/2026 | tooltrust-scanner/v0.3.8
Risk Summary
Safe With Normal ControlsDep Visibility is the main signal, but overall risk remains within an acceptable range.
Potential impact: This finding indicates the tool should be reviewed before it is trusted.
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 (10)
tool declares network permission
search_case_studiessearch_companiesFix: 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
search_case_studiessearch_companiesFix: 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.
search_case_studiesget_case_studysearch_companiesget_company_analysiscompare_vendorsget_company_timelineFix: 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 casestudies-dev"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)