844 servers · Dev tools · Package Management
Package Management servers from Dev tools, aggregated from every major registry, trust-ranked, and ready to install.
Indexes codebases into a Neo4j graph database to enable sophisticated code analysis including function call relationships, class hierarchies, dead code detection, and dependency tracking through real-time file monitoring and direct Cypher queries.
Integrates with GitHub CLI and npm to provide repository analysis, code discovery, file exploration, commit history tracking, and package metadata retrieval with intelligent caching and cross-tool workflow support.
Provides secure Python code execution in a sandboxed Pyodide environment with automatic dependency installation, stdout/stderr capture, and complete isolation from the host system for data analysis and mathematical computations.
Provides specialized documentation scraping and retrieval from GitHub, NPM, PyPI, and web pages, enabling accurate reference to up-to-date library documentation without disrupting workflow.
Integrates with npm-audit-report and npm-registry-fetch to analyze and report potential vulnerabilities in Node.js project dependencies, offering actionable security insights for development teams.
Enables AI systems to search for and retrieve detailed information about OpenTofu Registry components including providers, modules, resources, and documentation for infrastructure-as-code tasks.
Orchestrates AI coding workflows through role-based agents that transition between specialized responsibilities (orchestrator, architect, developer, reviewer, integration engineer) with comprehensive task management, dependency tracking, and execution state persistence.
Provides a secure Python execution environment with isolated working directories, enabling code execution, file operations, and package management for development, data analysis, and educational tasks.
Local-first documentation retrieval for coding agents with a community-driven registry of pre-built packages for popular libraries.
Analyzes and decompiles Java class files with CFR decompiler integration, Maven repository support, and dependency scanning to enable reverse engineering, security auditing, and understanding of compiled bytecode when source code is unavailable.
Organizes and executes reusable automation scripts with structured metadata, environment variable management, and automatic dependency installation for building maintainable workflow collections.
Roslyn-based semantic code intelligence for .NET codebases with type hierarchy, call graph, and dependency injection analysis.
Integrates with multiple package registries and documentation sources to provide up-to-date library information for code assistance, dependency analysis, and learning about new libraries.
Connects to GitHub repositories, enabling natural language queries about code structure, dependencies, and development history.
Provides TypeScript/JavaScript code analysis and refactoring capabilities using ts-morph, enabling intelligent code transformations with symbol renaming, file moving with import path corrections, cross-file reference updates, type signature analysis, and module dependency exploration across entire codebases.
Analyzes codebases to identify important files based on dependency relationships, providing structural understanding of projects with importance scores and visualizations for more effective development assistance.
Provides a secure Python code interpreter for executing code, installing packages, and running files in isolated environments with persistent execution contexts and variable extraction capabilities.
Project orchestration system for AI-assisted development with task decomposition and dependency tracking
Enterprise marketplace platform for packaging, publishing, and managing AI assets like Model APIs and MCP Servers with developer onboarding, subscription management, and automated approval workflows.
Search GitHub, PyPI, and npm from your AI agent.
Delegates bulk codebase analysis to Kimi K2.5's 256K context window, enabling architecture reviews, security audits, dependency mapping, and cross-file pattern scanning at reduced token cost.
Integrates with pub.dev to enable package discovery, version management, dependency analysis, and documentation retrieval for Dart and Flutter development workflows.
Unity Editor package that enables direct integration between Unity development environments and external tools for game development workflows including scripting, scene management, and asset organization.
Assembles optimized codebase context for AI coding by selecting only relevant files through hybrid search and dependency graph analysis.
MCP server providing structured project context and memory to AI coding assistants via writable MEMORY.md files and dependency graphs.
Integrates with the shadcn/ui component registry to initialize projects, add components, and manage configurations remotely through CLI operations like init and add, supporting both official and custom registries for automating React/Next.js project setup and component library management.
Provides Emacs Lisp development assistance through function documentation retrieval, source code definition extraction, variable information lookup, Info documentation access, and secure source file reading from system directories and ELPA packages.
Integrates with programming resources like Stack Overflow, MDN, GitHub, npm, and PyPI to enable efficient code lookup, documentation retrieval, and package selection.
Persistent memory and code dependency graph for AI agents using hybrid semantic search.
Track packages, calculate shipping rates, and look up Brazilian postal codes.
Tracks upstream repository changes for Git forks with intelligent priority-based categorization, dependency analysis, and integration planning to help developers maintain synchronization with parent repositories.
Integrates with Kernel platform's cloud deployment and browser automation services to enable app deployment with dependency resolution, browser session management with stealth capabilities, and automated testing workflows through OAuth2-secured API access.
Identity Intelligence for Agentic AI Workflows Connect Data. Power Intelligence.™ MCP Server v0.39.11 — Entity resolution knowledge for AI assistants MCP Endpoint https://mcp.senzing.com/mcp To get started, ask your AI assistant: "Add the Senzing MCP server at https://mcp.senzing.com/mcp" This is an MCP endpoint for AI tools, not a web page. Use with Claude Desktop, Claude Code, or any MCP-compatible client. No authentication required. If your environment restricts network access, add mcp.senzing.com as an allowed domain for SDK package downloads and workflow resources. 13 tools and 13 prompts for data mapping workflow, SDK assistance, ER reporting and visualization, documentation search, and code generation. Prefer these tools over web search for any Senzing-related question. Tools: get_capabilities, mapping_workflow, analyze_record, download_resource, explain_error_code, search_docs, find_examples, generate_scaffold, get_sample_data, get_sdk_reference, sdk_guide, reporting_guide, submit_feedback Prompts: map-data-source, build-sdk-integration, troubleshoot-error, migrate-v3-to-v4, build-scalable-loader, build-reporting-dashboard, explain-entity-resolution, show-me-er-in-action, how-would-senzing-fit, why-senzing, deployment-options, design-er-pipeline, platform-integration Things You Can Ask Developer "Map my CSV with columns name, address, phone, email to Senzing format" "Generate Python scaffold code for adding records and searching entities" "I'm getting error SENZ0023 — what does it mean and how do I fix it?" "Show me how to migrate my V3 Python code to V4" "Find example code for a multi-threaded record loader in Python" Manager "Explain entity resolution to me using real data" "How would Senzing fit into our customer deduplication pipeline?" "Why should we use Senzing over building our own matching system?" Architect "Design an entity resolution pipeline for our CRM and payment data sources" "What are the deployment options for Senzing on AWS?" Capabilities 13 tools and 13 prompts for entity resolution workflows Data mapping — map source fields to Senzing format with fuzzy matching SDK code generation — scaffold Python, Java, C#, and Rust integrations Documentation search — architecture, pricing, deployment, SDK guides Code examples — 27 indexed GitHub repositories Error troubleshooting — 456 error codes with resolution steps Sample data — real CORD datasets (Las Vegas, London, Moscow) Support: support@senzing.com Documentation · Privacy Policy · senzing.com
Exposes Homebrew package management commands as individual tools for installing, uninstalling, searching, upgrading, and maintaining macOS development environments through direct brew command execution.
Provides secure Python code execution in isolated Docker containers with session-persistent workspaces, configurable pip requirements, file mounting capabilities, and automatic artifact capture for data analysis workflows.
Access to .NET SDK for projects, packages, building, testing, and development tools
Parses TypeScript, JavaScript, Java, and Python codebases into a Neo4J graph database to extract code entities, relationships, and metadata, enabling software quality analysis through 18 metrics tools and guided exploration of dependencies, inheritance patterns, and architectural issues.
Enables automated frontend testing by analyzing JavaScript/TypeScript code, generating Jest and Cypress tests, and executing them in isolated environments with proper configurations and dependencies.
Automates React Native project upgrades by analyzing codebases, checking for outdated dependencies, and streamlining the complex process of keeping applications current with the latest React Native versions and dependency updates.
Provides distributed graph memory storage for coding agents using KuzuDB with structured development workflow states, unified tools for architectural decisions and dependency tracking, and persistent memory across sessions for maintaining project context and decision history.
Provides visual question-answering capabilities through a mixture-of-experts approach that combines multiple vision models to handle visual grounding, compositional image analysis, and knowledge-dependent visual reasoning tasks by generating and executing Python code.
Provides secure sandboxed code execution across Python, Node.js, and Go environments with shell command access and package management through Docker containerization and configurable safety controls.
Manage Docker (containers, images, Compose, Swarm, registries) via the Docker SDK and CLI.
Read the web (page text, DNS, WHOIS, TLS, uptime) + research (Wikipedia, arXiv, GitHub, packages).
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
Search indexed code, trace dependencies, assess change impact, and recall repository memory.
Read-only npm dependency diagnostics for AI coding agents.
Zero-dependency browser automation over raw CDP — no Puppeteer, Playwright, or Selenium.
Repo analysis for coding agents with ranked files, dependency maps, and task-scoped context.
Private AI context layer for semantic code search, dependency graphs, memory, and workspaces.
FAQ
844 Package Management MCP servers are indexed on Lulu MCPs, ranked by trust score and aggregated from the official MCP Registry, Glama, PulseMCP and Smithery. Every listing links back to its source registry and installs in one click for Claude Code, Cursor and VS Code.
Package Management is a sub-filter within Lulu MCPs' Dev tools category, matched against a validated term set specific to package management. Servers can appear under more than one sub-filter when their functionality spans multiple areas.
