"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 AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Enables access to Brazil's Central Bank (BCB) Open Data API for payment methods, allowing queries about PIX, card transactions, ATM terminals, interchange rates, and other payment statistics through natural language.

MCP server covering French law via the PISTE platform: 8 tools wrapping the JUDILIBRE API (open data judicial decisions from Cour de cassation, courts of appeal and civil courts).

Enables querying AI model lifecycle and deprecation data across OpenAI, Anthropic, Google Gemini, and Amazon Bedrock, including model status, sunset dates, and recommended replacements via MCP tools.

Enables users to retrieve live pricing data for AI models across vendors, including input and output prices per 1k tokens, via a simple API.

A bridge between large language models and Dutch parliamentary data, providing access to Dutch parliamentary documents, debates, and member information from the Tweede Kamer.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

Access to many public datasets right from your LLM application.

MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

Enables consultation of negative debt certificates (Certidão Negativa de Débitos) from the Palmas, TO city government through an official source.

Enables natural language queries to official dental council registration data in Tocantins, Brazil. Read-only, hosted, and works with any MCP client.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

Read-only Model Context Protocol tools for evidence-based development cooperation and ODA research.

Provides access to Brazilian Central Bank open data on payment methods, including PIX, card transactions, and more, through natural language queries.

Enables access to World Bank Procurement Notices for global development tenders through the Pipeworx MCP gateway, with keyless access and natural language querying via ask_pipeworx.