"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Enables coding agents to identify likely runtime failures in JavaScript and TypeScript by ranking risky files, tracing dependencies, analyzing logs, and obtaining independent model reviews with line-level reasons.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

A local MCP server that provides LLM clients with read/write access to email and calendar data from Gmail, iCloud, and generic IMAP providers. It runs entirely on your machine, keeping data private while enabling email management, calendar operations, and task handling through natural language.

Enables AI assistants to analyze vibration data, detect machinery faults, and generate professional diagnostic reports through natural conversation.

Connects Claude Code to Apple Mail, Calendar, and Reminders through macOS automation APIs, enabling management of emails, events, and reminders via natural language.

An MCP server that connects ChatGPT Desktop or Codex to Super Productivity's local REST API, enabling explicit task selection, planning, timer control, and completion via natural language.

Enables natural-language control of Super Productivity tasks, projects, and tags via MCP tools that bridge to the app's local REST API.

Aggregates prediction market data from 5 major platforms (Manifold, Polymarket, Metaculus, PredictIt, Kalshi), enabling users to search markets, compare odds across platforms, detect arbitrage opportunities, and track predictions through natural language.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

Enables querying Odoo's model registry (fields, inheritance, methods) without a database connection by loading the registry in-memory.

MCP server that pings 130+ free coding LLM models across 17 providers in real-time, ranks them by latency, and helps AI agents pick the fastest available model.

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

An open-source MCP server that gives parents real-time oversight and guardrails over their children's AI agent interactions, with features like content filtering, spiral detection, and approval flows.

Enables control of OBS Studio via MCP, including media source playback, scene management, audio mixer adjustments, and screenshot capture, using OBS's WebSocket v5 protocol.

A learning-oriented MCP server that exposes basic tools (echo, add, reverse) over stdio transport to validate MCP handshake and tool calls.

Enables Claude to interact with Super Productivity's local REST API for task, project, and tag management, including CRUD operations, status checks, and daily planning prompts.