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Provides access to the U.S. Census Bureau Geocoding Services API, enabling geocoding addresses, reverse geocoding coordinates, and retrieving Census geographies without an API key.

Enables AI agents to store and retrieve memories using the Sibyl memory system, integrated via MCP for both local and Docker environments.

Enables searching, discovering, and playing movies from IMDb via a Model Context Protocol server with a playback layer and monitoring dashboard.

GenPark AI Agent Skill - Sentence-boundary aware sliding window chunker with dynamic token overlap and duplicate block deduplication.

This JinaAI grounding MCP server, developed by Scott Spence, enables integration of JinaAI's content extraction and analysis capabilities with MCP-compatible applications. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for web content extraction, documentation parsing, and text analysis. The implementation focuses on simplifying access to JinaAI's grounding functionality through a standardized interface. It's particularly useful for developers and AI models needing to extract and analyze web content or documentation, enabling use cases like fact-checking, content verification, and real-time information retrieval without dealing directly with web scraping or content parsing complexities.

An MCP server for searching Japanese tariff data by keywords, HS codes, and more, enabling AI agents to access tariff information.

Enables AI agents to write TypeScript to create, render, verify, and export parametric 3D models using Replicad/OpenCascade CAD kernel, headlessly from terminal or MCP clients.

Enables AI assistants to interact with Brazilian electronic invoices (NF-e, NFC-e, NFS-e) via Nuvem Fiscal API, including CNPJ lookup, invoice issuance, cancellation, and PDF generation.

A Model Context Protocol server that allows saving, retrieving, adding, and clearing memories from LLM conversations with MongoDB persistence.

An MCP server for querying and managing LlamaIndex documents stored in Qdrant vector databases, with automatic embedding model detection and extensive tools for search, retrieval, and collection management.

A data visualization MCP server built on FastMCP, providing 32 tools for chart generation, report building, and data processing.

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

CPFHub is an MCP server that enables AI agents to perform Brazilian CPF (Cadastro de Pessoas Físicas) lookups, returning full names, gender, and date of birth information from the CPFHub service. It also provides account quota checking to monitor API usage. Distributed via npm as @cpfhub/mcp.

Pulumi Resource Example Generator MCP server that automatically creates complete constructor examples with placeholder values for any Pulumi resource across multiple programming languages including TypeScript, Python, Go, C#, and Java. Built by corymhall, the implementation leverages Pulumi's schema system and code generation capabilities to fetch provider schemas via the Pulumi CLI, generate intermediate PCL (Pulumi Configuration Language) representations, and transpile them into language-specific examples with all properties populated using appropriate placeholder values like 'string' for strings and 0 for numbers. Valuable for developers learning new Pulumi providers or building documentation who need quick reference examples showing the complete API surface of resources without manually writing boilerplate code or consulting multiple documentation sources.

Enables AI assistants to interact with D2L Brightspace LMS, providing access to assignments, grades, course content, calendar events, and announcements through automated SSO authentication.

A Model Control Protocol (MCP) server that provides cryptocurrency trading interfaces for Binance exchange, enabling functions like real-time price fetching, account balance queries, order placement/cancellation, and automated arbitrage strategies.

Palveron MCP Server — AI Governance for coding agents via Model Context Protocol

Protofmt-mcp is an MCP server that formats Protocol Buffer (.proto) files according to standardized conventions. Developed by Ernest Micklei, it leverages the proto and proto-contrib packages to parse and reformat protobuf files with consistent indentation (2 spaces). The server exposes a single tool that accepts a file path parameter, reads the specified .proto file, formats its content, and writes it back to the original location. Designed for integration with code editors like Visual Studio Code, it enables developers to maintain clean, consistently formatted protobuf definitions with minimal configuration.

A starter MCP server for Actionstep-style conveyancing automation, providing example tools like ping and list_conveyancing_actions, plus a health endpoint.

Web scraping for AI agents. Extract text and metadata from any URL worldwide. $0.005/page.