by ecosyste-ms
Query package ecosystem data and package metadata across 40+ registries with fast local SQLite lookups and API fallback
Queries package ecosystem data from 40+ registries including npm, PyPI, and RubyGems for metadata, dependencies, versions, and security advisories. Uses fast local SQLite database with API fallback for comprehensive package information.
Ecosyste.ms Package Data is an official MCP server published by ecosyste-ms that provides AI assistants with tools and capabilities via the Model Context Protocol. Query package ecosystem data and package metadata across 40+ registries with fast local SQLite lookups and API fallback It is categorized under developer tools.
You can install Ecosyste.ms Package Data 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
Ecosyste.ms Package Data 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
We wired Ecosyste.ms Package Data into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Ecosyste.ms Package Data against two servers with overlapping tools; this profile had the clearer scope statement.
Ecosyste.ms Package Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Ecosyste.ms Package Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Ecosyste.ms Package Data against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Ecosyste.ms Package Data is the kind of server we cite when onboarding engineers to host + tool permissions.
Ecosyste.ms Package Data is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Ecosyste.ms Package Data is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Ecosyste.ms Package Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Ecosyste.ms Package Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
showing 1-10 of 46
Query package ecosystem data and package metadata across 40+ registries with fast local SQLite lookups and API fallback
TL;DR: Queries package ecosystem data from 40+ registries including npm, PyPI, and RubyGems for metadata, dependencies, versions, and security advisories. Uses fast local SQLite database with API fallback for comprehensive package information.
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.
