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3,641 results · Page 13 of 102

Mercado Libre

AI developer platforms

Mercado Libre MCP Server is a Model Context Protocol (MCP) server provided by Mercado Libre for developers, used to standardize the connection between AI models and Mercado Libre's APIs and resources. It allows developers to interact with Mercado Libre developer documentation and APIs through natural language, simplifying development tasks and product integration. The server uses OAuth 2.0 for authentication and authorization, eliminating the need to manually manage access tokens, and supports access from clients such as Claude, Codex, Cursor, Windsurf, and Gemini.

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Mercado Pago

AI developer platforms

Mercado Pago's MCP Server is an AI integration tool for developers, designed to accelerate the onboarding process for its payment solutions. It connects Mercado Pago's payment capabilities to mainstream AI-enabled IDEs through MCP (Model Context Protocol), providing accessible documentation, code suggestions, and integration quality assessment to help developers complete payment integrations in less time. The tool covers the entire integration stage: from consulting the first-step guide and obtaining code hints to assessing the security and quality standards of the integration, and it provides an expert-written prompt library to improve integration quality. Typical uses include end-to-end integration of Checkout Pro (from initial project configuration to final testing), smooth migration to the Orders API, and more. Its advantages lie in reducing development friction, increasing payment approval rates, and ensuring the application meets the required security and quality standards, thereby optimizing the experience for both buyers and sellers. The tool is suitable for developers and technical teams that want to quickly and reliably integrate Mercado Pago collection solutions with AI assistance. Regarding the specific list of supported IDEs, available platforms, charging methods, and pricing, official materials are not yet available.

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MisakaNet

AI developer platforms

MisakaNet is a "failure experience library" for AI coding agents, using a Git repository as the source of truth and Markdown files to record debugging failures and fix experiences. When an agent encounters an error, it can first search the included experience lessons to avoid repeating pitfalls; when no match is found, it can submit a new failure through the intake interface for later inclusion. It provides agent-native interfaces such as an MCP server (7 tools), WebMCP, llms.txt, and A2A discovery. Retrieval uses BM25 implemented with the Python standard library, with no vector database, no embedding model, zero third-party dependencies by default, and can run offline. The project also provides a GitHub Action, a DeepSeek Harness plugin, and install/verify scripts, under the Apache-2.0 license.

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mkp

AI developer platforms

MKP is a Model Context Protocol (MCP) server for Kubernetes, developed by StacklokLabs. It enables LLM-driven applications to interact directly with Kubernetes clusters, providing tools via the MCP protocol such as listing and getting resources, creating and updating, deleting, and executing commands in Pods, without relying on external CLIs such as kubectl and helm. MKP is implemented in Go, calls the Kubernetes API directly, supports any resource type and CRDs, has built-in rate limiting, defaults to read-only, and can enable write operations via --read-write.

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MLflow

AI developer platforms

MLflow is the largest open-source AI engineering platform, designed for agents, LLMs, and machine learning models. It helps teams debug, evaluate, monitor, and optimize AI applications: it captures complete traces of LLM applications and agents, built on OpenTelemetry and supporting any LLM provider and agent framework; it runs systematic evaluations, tracks quality metrics, and catches regressions; it provides 50+ built-in metrics and LLM judges, and also supports custom ones. It also includes prompt version management, testing, deployment, and automatic optimization, a unified LLM provider API gateway, and the MLflow Agent Server for one-click agent deployment. MLflow is licensed under Apache 2.0, 100% open source, permanently free, with no vendor lock-in, and can be used with any cloud, framework, or tool. It has been validated at scale in Fortune 500 companies and thousands of teams, with 20K+ GitHub stars, 900+ contributors, and over 30 million monthly downloads. It has built-in support for 100+ AI frameworks including LangChain, OpenAI, PyTorch, and more, and you can start a server and quickly get started with tracing with a single command.

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mongodb-lens

AI developer platforms

MongoDB Lens is a locally running Model Context Protocol (MCP) server that lets users access MongoDB databases through natural language with a large language model (LLM), performing operations such as queries, aggregations, and performance optimization. It provides a complete MongoDB management toolset, covering operations for databases, collections, indexes, users, transactions, full-text search, geospatial queries, GridFS, and more, with a built-in confirmation mechanism to protect destructive operations. It supports installation via NPX, Docker Hub, source code (Node.js/Docker), and other methods, can be customized through configuration files, environment variables, and multiple connection aliases, and is compatible with modern and older versions of MongoDB.

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