Source Map Parser
by masonchow
Source Map Parser maps minified JavaScript stack traces back to original source locations for fast, accurate production
What it does
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.
About
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.
How to install
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.
License
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.
Readme
Frequently Asked Questions
- What is the Source Map Parser MCP server?
- Source Map Parser is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Source Map Parser?
- This profile displays 43 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.5★★★★★43 reviews- ★★★★★Chen Khan· Dec 20, 2024
Source Map Parser reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Nikhil Lopez· Dec 8, 2024
Source Map Parser has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Li Liu· Dec 8, 2024
Strong directory entry: Source Map Parser surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Zaid Sharma· Dec 4, 2024
Source Map Parser is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Charlotte Chen· Nov 27, 2024
I recommend Source Map Parser for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zaid Chawla· Nov 23, 2024
We evaluated Source Map Parser against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yusuf Bhatia· Nov 11, 2024
We wired Source Map Parser into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Layla Rao· Nov 7, 2024
According to our notes, Source Map Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dev Bansal· Oct 26, 2024
I recommend Source Map Parser for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Kwame Agarwal· Oct 18, 2024
According to our notes, Source Map Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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