"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.

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.

A self-hosted MCP server and gallery for AI-generated mockups, enabling AI tools to send mockups via MCP tool calls for storage and browsing in a clean web gallery.

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.

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.

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

Cost-aware multi-LLM routing MCP server that automatically routes tasks to free models first with fallback to paid, using task difficulty classification.

An MCP server that bridges AI models with Ethereum blockchains via all JSON-RPC calls, enabling natural language queries for block numbers, balances, transactions, and smart contract data.

Configurable MCP server that lets you define LLM-powered tools via JSON, enabling easy integration of multiple models (GPT, Gemini, Claude, etc.) as MCP tools without writing Python code.

Provides MCP tools for GitHub code search, Jira sprint status, pull request risk analysis, and project metrics, enabling agentic workflows for developer productivity.

Routes questions to multiple AI models (local and cloud) and synthesizes their answers in individual, categorized, or deconflicted modes.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.

Provides up-to-date AI model names and pricing from models.dev, solving model hallucination by fetching recently released models.

Comprehensive MCP server providing full programmatic control over the Perplexity API, including agent, sonar, search, embeddings, key management, and cost estimation tools.

Operate the OpenClaw gateway's full management surface from any MCP client — list and trigger crons, inspect sessions, configure agents and channels, manage skills and secrets, pair devices, and more via 134 typed tools.

A minimal local MCP server that wraps any Claude Messages API-compatible upstream into a unified ask_model tool. It enables MCP clients to interact with these models through a standard tool interface using stdio transport.

An MCP server that retrieves and provides AI model information from OpenAI, Anthropic, and Google through a unified interface.

A read-only MCP server for searching control science and engineering papers via OpenAlex, limited to core journals in the field.

Enables AI agents to compose MCP tool calls into Unix-style pipelines, executing complex workflows server-side and returning only the final result.