MCP server for storing and retrieving context-specific agent rules, enabling AI agents to access relevant guidelines efficiently and reduce context window usage.
MCP Server for accessing 36 Brazilian public data sources and 1 agent, enabling AI agents to query government data on economy, legislation, transparency, judiciary, elections, environment, health, and more.
An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.
MCP server that exposes pre-extracted facts about code behavior, design decisions, and assumptions to AI agents, saving time and tokens by avoiding direct source file reading.
An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.
MCP server that fetches Brazilian financial data from the CVM open data portal and exposes tools for LLM clients to query companies and calculate financial indicators from published financial statements.