"Nexus Mods" matching MCP servers:

Exposes the Nexus Mods API to AI agents so they can search and inspect mods, browse authors' catalogues, and upload or publish mod files from a local archive in a few aggregated tool calls. It handles authentication, caching, reporting quotas, and the multi-step v3 upload flow, while gating write and publish operations behind opt-in permissions.

Enables any MCP client to search, browse, download, and manage Nexus Mods content—games, mods, files, comments, collections, and user preferences—through a unified REST and GraphQL interface with caching and OAuth2 support.

MCP server for searching Kerbal Space Program mods from the CKAN index, with tools for mod search, recommendations, parts listing, and CKAN download cache integration.

An MCP server for Quantinuum Nexus that lets AI agents inspect projects and, when enabled, run quantum circuits on the free H2-1LE emulator. It is read-only by default with optional flags for spending credits or interacting with real hardware.

A zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.

Enables AI harnesses to connect to a single MCP endpoint that routes to multiple downstream MCP servers, discovering and executing capabilities on demand while keeping tool schemas out of context.

An MCP server for Muse Dash mod development. It scaffolds projects, builds and deploys mods, launches the game, checks environment info, and provides documentation and community repository access.

Enables interaction with pararam.io communication platform, allowing users to search and send messages, manage chats, upload/download files, and search users through natural language commands.

A read-only MCP server that lets students query Union College's Nexus (Moodle) account through natural language, covering courses, assignments, due and overdue work, grades, course materials, announcements, and calendar events, plus daily/weekly briefings and workload analysis. It uses Moodle's official web-service API with a personal student token, so it only reads the user's own data and never writes or scrapes.

Okto Nexus is an MCP server and operator hub for agents working in the same repository. It gives them durable identities, presence, messages, inboxes, handoffs, artifacts, an event log, governance controls, and a live dashboard without requiring a cloud broker.

Service-boundary-aware document exchange center for coordinating heterogeneous LLM code agents via MCP. Versioned Markdown store, pub-sub notifications, and diff-aware update protocol.

A fully local, open-source MCP server that replaces Azure AI Foundry, enabling model management, inference, evaluation, and RAG using Ollama without any cloud dependencies.

A browser-automation MCP server built on Playwright that provides deterministic snapshots via MutationObserver/requestAnimationFrame, HITL governance, multi-task isolation, and self-healing browser sessions for LLM-driven browsing.

Enables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.

Cross-platform MCP server providing Claude Code-style plan mode via four tools (enter_plan_mode, get_plan_mode_standards, todo_write, exit_plan_mode) with soft guidance through SKILL.md.

Context Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.

An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.

An MCP server that captures and analyzes function-level profiling data from NetEase Minecraft Bedrock Edition mods via the native Tracy profiler, enabling AI to identify performance hotspots and verify optimizations.

Unified MCP server: hybrid search + code graph + semantic memory. 10 tools, <350MB RAM, fully local. No API keys.