MCP server
by masonchow
Source Map Parser maps minified JavaScript stack traces back to original source locations for fast, accurate production
Maps minified JavaScript stack traces back to original source code locations using source maps. Helps developers debug production errors by showing the actual source code that caused the error.
Source Map Parser is a community-built MCP server published by masonchow that provides AI assistants with tools and capabilities via the Model Context Protocol. Source Map Parser maps minified JavaScript stack traces back to original source locations for fast, accurate production It is categorized under developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
You can install Source Map Parser in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Source Map Parser is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Source Map Parser reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Source Map Parser has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Source Map Parser surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Source Map Parser is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Source Map Parser for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Source Map Parser against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Source Map Parser into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Source Map Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Source Map Parser for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Source Map Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Source Map Parser maps minified JavaScript stack traces back to original source locations for fast, accurate production
TL;DR: Maps minified JavaScript stack traces back to original source code locations using source maps. Helps developers debug production errors by showing the actual source code that caused the error.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
