"MEGA" matching MCP servers:

MCP server for MEGA encrypted cloud storage providing file management, uploads, downloads, sharing, folder sync, and search.

Enables AI agents to perform accurate local computations including arbitrary-precision math, date handling, unit conversion, subnet calculations, encoding, hashing, and text analysis, all without network calls or API keys.

An MCP server that lets coding agents build and query a persistent knowledge graph of concepts, architecture, and decisions, enabling them to remember across sessions.

Enables users to run queries across multiple AI models in parallel, comparing latency, token speed, and cost, and to integrate this multi-model racing and code review capability into Claude Code, Cursor, and Codex CLI.

Enables AI to dynamically discover and invoke any Cin7 Core API endpoint using three generic tools (list, describe, invoke) plus a bug-report tool, covering the entire API surface without predefined endpoints.

Enables running bpy Python code in an already-open Blender instance, with tools for health checks, scene info, and viewport screenshots.

Enables building and iterating on a software company through natural language, returning live preview URLs, without needing a browser.

Provides AI assistants with access to Vega-Lite documentation, visualization examples, and specification validation tools. Enables searching docs, retrieving examples by category, validating JSON specs, and accessing schema information for creating data visualizations.

Enables running MegaLinter linting, configuration, and analysis through MCP tools. Works with any CI/CD platform or locally.

A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.

A Model Context Protocol server that enables AI models to interact with GitHub's API, allowing for repository creation and management with descriptions, topics, and website URLs through natural language commands.

A meta API Gateway server that works with the Model Context Protocol (MCP), enabling AI assistants to connect to any API and access real-world data sources through standardized MCP tools.

Enables agents to generate typed client code from OpenAPI, GraphQL, Protobuf, and SQL specs using MetaEngine's code-generation platform.

Enables multi-model AI code review from inside supported coding tools, reporting where up to four models agree and disagree.

Automates codebase review and documentation generation using specialized AI agents, integrating with MCP for AI workflows and Smithery for deployment.

Enables an MCP server to gate tools/call requests by requiring a per-send channel-policy attestation for outbound actions, checking ROPE-lite origin tags on sensitive arguments, and returning SEP-2643-shaped structured denials with retry handles and remediation hints when a call is blocked. It logs client-asserted audit context (such as turnId and userIntent) for correlation across allowed and denied calls, but never uses that receipt for allow/deny decisions.

Deployable MCP clone services for A2A-Meta, hosting pending clones via a multiplexer for Railway deployment.

Provides a semantic search interface that enables discovery and routing across over 1,000 local MCP tools using natural language queries. It leverages hybrid search and embeddings to accurately match user intent with tool names and descriptions.

An MCP server that exposes authoritative, read-only Conda ecosystem metadata for AI agents, enabling package search, dependency resolution, and other packaging queries without side effects.

Enables creating and editing live, interactive dashboards with Vega-Lite charts via A2UI in MCP hosts, with dataset binding and reusable widgets.