Packages

Serper MCP server enabling AI agents to perform real-time Google Search via the Serper.dev API — searching the web, Google News, Google Images, Google Maps, and Google Shopping; retrieving current search results; and integrating real-time web search capabilities into agent-driven research, fact-checking, and information retrieval workflows.

Official Laravel package for rapidly building MCP servers integrated with Laravel applications. Provides a full-featured framework for exposing tools, resources, and prompts to AI clients with Laravel's validation, dependency injection, authentication (OAuth 2.1, Sanctum), and streaming support built in.

MCP Auth JavaScript/TypeScript SDK providing authentication middleware for building secure MCP servers in Node.js — implementing OAuth 2.0, API key validation, and JWT verification for TypeScript/JavaScript MCP server applications, enabling developers to add enterprise-grade authentication to custom MCP servers.

Microsoft SQL Server MCP server enabling AI agents to interact with SQL Server databases — executing T-SQL queries, managing tables and schemas, reading and writing data, inspecting stored procedures, and integrating SQL Server's enterprise relational database capabilities into agent-driven data workflows and database management tasks.

OpenMCP is a graphical MCP development and management tool — providing a GUI for testing MCP servers, inspecting tool definitions and responses, debugging MCP protocol interactions, managing MCP server configurations, and acting as a visual MCP client for development and testing workflows.

An MCP server that enables Claude Desktop and Claude Code to interact with Things 3 task management app on macOS, supporting task creation, project management, search, and productivity reviews.

BeanQuery MCP server enabling AI agents to query Beancount personal finance ledgers using BeanQuery SQL-like language — running financial queries on plain-text double-entry accounting files, generating custom reports, analyzing spending and income patterns, and integrating Beancount financial data into AI-assisted personal finance analysis.

Lightweight, zero-dependency MCP server that provides AI clients with safe database access. Supports PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite with safety guardrails including read-only mode, row limiting, and query timeouts. Includes a built-in web workbench for visual interaction.

Gmail MCP server enabling AI agents to interact with Gmail — reading and searching emails, sending messages, managing labels and threads, drafting responses, and integrating Gmail's email capabilities into agent-driven communication, inbox management, and email automation workflows.

Official Inngest MCP server enabling AI agents to interact with Inngest's event-driven workflow platform — querying function runs, replaying failed functions, inspecting events, and monitoring background job health.

Neovim MCP server enabling AI agents to interact with the Neovim text editor — reading and modifying buffer contents, executing Neovim commands and Lua scripts, navigating between files, and integrating AI assistance into Neovim-based development workflows for AI pair programming within the editor.

Official Portainer MCP server enabling AI agents to manage containerized infrastructure via Portainer — querying and managing Docker containers, Kubernetes workloads, stacks, volumes, networks, and registries through Portainer's unified management interface.

Snyk REST API v2 is the new-generation OpenAPI-compliant REST API replacing the legacy v1 API. It provides programmatic access to Snyk's full developer security platform: Snyk Open Source (SCA across 20+ package ecosystems including npm, PyPI, Maven, Go, Ruby, .NET), Snyk Code (AI-powered SAST with dataflow analysis), Snyk Container (image and Dockerfile scanning with base image recommendations), and Snyk IaC (Terraform, CloudFormation, Kubernetes, ARM template security). The v2 API uses versioned endpoints (YYYY-MM-DD~beta/experimental/ga), cursor-based pagination, standardized JSON:API response envelopes, and consistent error schemas. Key agent use cases include fetching vulnerability findings for projects, generating and exporting SBOMs in SPDX/CycloneDX format, querying SBOM artifacts, managing projects and targets, and retrieving fix advisories. The vulnerability database is one of the largest proprietary databases, combining NVD/CVE data with Snyk's own research, ecosystem-specific advisories, and exploitability intelligence.

Official Splunk MCP server enabling AI agents to interact with Splunk's data platform — running SPL (Splunk Processing Language) searches, querying logs and security events, managing alerts and dashboards, and integrating Splunk's search and analytics capabilities into agent-driven security operations and observability workflows.

Official Stytch MCP server enabling AI agents to interact with Stytch's authentication platform — user management, session management, magic link operations, passkey configuration, and organization management.

Official SurrealDB MCP server from SurrealDB enabling AI agents to interact with SurrealDB multi-model database — executing SurrealQL queries, managing tables and records, traversing graph relationships, and integrating SurrealDB's unified document, relational, and graph database capabilities into agent-driven data workflows.

MCP server that gives AI systems full read/write access to Airtable bases, including record CRUD, schema management, field creation, and record comments.

Official Amplitude MCP server enabling AI agents to query Amplitude's product analytics — event data, user properties, funnels, cohorts, and dashboards for product insights and data-driven agent workflows.

Cline MCP Memory Bank enabling AI coding agents to maintain persistent project knowledge across sessions — storing project context, architectural decisions, coding conventions, and work-in-progress state in a structured memory bank, enabling Cline AI coding assistant (and other agents) to resume work with full project context without re-reading the entire codebase.

Context-aware structural code search engine that prioritizes relevance over raw speed. Analyzes file structure, paths, and metadata rather than file contents to help AI agents and developers find relevant code files. Includes go-to-definition, find-references, impact analysis, and session-based context carryover.