What is TypeScript Definition Finder?
TypeScript Definition Finder is a AI tool that Provides TypeScript symbol definition lookup by leveraging the TypeScript Language Service to locate original definitions of imported symbols, classes, interfaces, and functions with precise file loca. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by https://github.com/runninghare/ts-def-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What TypeScript Definition Finder Does
TypeScript Definition Finder is a mcp_server in the AI tool category. Provides TypeScript symbol definition lookup by leveraging the TypeScript Language Service to locate original definitions of imported symbols, classes, interfaces, and functions with precise file locations and code snippets.. It is published by https://github.com/runninghare/ts-def-mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use TypeScript Definition Finder
TypeScript Definition Finder is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/runninghare/ts-def-mcp |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=typescript-definition-finder
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.