Packages

Provides an MCP (Model Context Protocol) server that answers questions by consulting multiple LLM providers (Anthropic, Google, OpenAI) in parallel and synthesizing the results into a final response via a single tool (`cognition_wheel`).

discord-mcp is an MCP server plus CLI that lets an AI assistant manage a Discord guild/server using natural language. It provides a large set of Discord administration tools (roles, channels, members, messages, moderation, events, automod, polls, webhooks, etc.), includes an interactive setup wizard (bot creation/token validation/invite generation and client config), and offers a health check/permission audit.

Provides a Ruby/Rails integration that exposes a Rails app as a Model Context Protocol (MCP) server, letting you publish application tools (callable functions with JSON Schema input validation) and resources (URI-templated data exposure) over an HTTP/JSON-RPC style transport, with configurable authentication, rate limiting, and security protections.

Oracle Cloud Infrastructure Oracle Integration Service.

rmcp is a Python-based Model Context Protocol (MCP) server that exposes 52 statistical analysis tools (organized into categories) backed by a curated whitelist of CRAN R packages. It can be run locally (stdio for MCP clients such as Claude Desktop; optional HTTP transport for web apps) or used via a live HTTPS endpoint with interactive docs and health checks.

An MCP server that connects AI assistants directly to a live n8n instance for full workflow lifecycle management — create, read, update, delete, activate/deactivate, execute, and monitor workflows and their executions via 15 MCP tools.

A template for building production-ready MCP servers in TypeScript with Deno, providing both STDIO and HTTP transports, middleware (rate limiting/CORS/security headers/timeouts), persistent state via Deno KV, session resumability, sandboxed execution utilities, example MCP tools/resources/prompts, and CI/CD plus multiple distribution formats (JSR, native binary, DXT, Deno Deploy).

Provides an MCP server (stdio by default; optional SSE HTTP transport) for reading and writing Microsoft Excel spreadsheets (xlsx/xlsm/xltx/xltm), including reading/writing cell text and formulas, and (on Windows) capturing sheet ranges as images.

Provides a FastMCP server that exposes Kroger shopping capabilities (store lookup, product search, and cart/order operations) to AI assistants via MCP, backed by the kroger-api Python library and Kroger API OAuth2 credentials. Includes local-only cart tracking for viewing/removal/clearing and a workflow for adding items to a real Kroger cart.

Memory Bank MCP is an MCP server that provides AI coding assistants with remote read/write access to structured memory bank files, enabling persistent project-specific context across sessions for tools like Claude, Cline, Cursor, and Windsurf.

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Provides an MCP server that exposes Perplexity API capabilities as MCP tools for AI assistants, enabling real-time web search and model-based Q&A/research (search, ask, research, reasoning). Supports both stdio (typical MCP clients) and an optional HTTP deployment mode.

renderdoc-mcp is an MCP (Model Context Protocol) server that uses RenderDoc’s headless Python replay API to analyze GPU frame capture files (.rdc). It exposes many MCP tools for session/capture management, event navigation, pipeline/shader inspection, resource export/extraction, pixel diagnostics, and performance/pass analysis.

An MCP server that provides AI agents with multi-session terminal execution, batch/concurrent command execution, workflow orchestration (DAG/sequences), and a local web UI for real-time terminal output and system stats.

Provides a pure stdio-based Model Context Protocol (MCP) server that surfaces TouchDesigner operator documentation, tutorials, version compatibility data, experimental technique writeups/snippets, and TouchDesigner Python API references as callable MCP tools (e.g., get_operator, search_python_api, get_version_info). Designed for local use (documentation served from local JSON files).

Cloud communications platform providing programmable SMS, voice calls, WhatsApp messaging, email, and video APIs for building communication workflows into applications.

MCP server that bridges AI assistants to Cheat Engine, enabling natural language interaction with program memory for reverse engineering, debugging, and analysis. Supports reading memory, following pointer chains, scanning for patterns, analyzing structures, identifying C++ object types via RTTI, and setting hardware breakpoints including Ring -1 DBVM tracing.

Open-source e-commerce platform popular in Europe with a REST API (Webservice API) for managing products, orders, customers, and store configuration on self-hosted deployments.

adloop is a Python MCP server that lets an AI assistant read and (safely) write to Google Ads and GA4. It provides numerous MCP tools for diagnostics, GA4/Ads reporting, cross-referencing Ads vs GA4 (including attribution and landing-page analysis), tracking validation, and a draft→preview→confirm workflow for creating/updating Ads assets with guardrails (budget caps, pausing new entities, and double-confirmation for destructive actions).

Aerospike MCP server that exposes Aerospike database operations (schema inspection, reads/queries, writes, index management, UDF management, and cluster monitoring) via Model Context Protocol tools, supporting stdio for local IDE integration and SSE for remote HTTP-based operation.