by mckinsey
Build high-quality data visualization apps quickly using a low-code toolkit that leverages Plotly, Dash, and Pydantic.
by MariaDB
Provides a Model Context Protocol interface for managing MariaDB databases and performing embedding‑based vector search, enabling AI‑driven data workflows with both relational and semantic queries.
by mapbox
Provides a Node.js server that implements the Model Context Protocol to expose Mapbox geospatial APIs such as geocoding, POI search, routing, travel‑time matrix, isochrones, and static map images for AI agents and applications.
by makenotion
Provides a remote Model Context Protocol server for the Notion API, enabling OAuth‑based authentication and offering token‑efficient tools tailored for AI agents.
by mailgun
Provides a Model Context Protocol server that enables AI clients to send emails and retrieve delivery statistics through the Mailgun API.
by brightdata
Provides real-time web access for AI models, delivering search, markdown‑ready scraping, and optional browser automation while bypassing geo‑restrictions, rate limits, and CAPTCHAs.
by liveblocks
Enables AI agents to invoke Liveblocks REST API endpoints for creating, modifying, and deleting rooms, threads, comments, notifications, and provides read‑only access to Storage and Yjs data structures.
by litmusautomation
Enables LLMs and other intelligent agents to configure, monitor, and manage Litmus Edge devices through real‑time Model Context Protocol communication.
by lingodotdev
Provides an AI‑powered toolkit for instant localization of web and mobile applications using LLMs, supporting build‑time compilation, CLI commands, CI/CD automation, and real‑time SDK translation.
by line
Integrates the LINE Messaging API with a Model Context Protocol server, enabling AI agents to send text, flex, broadcast messages, retrieve user profiles, and manage rich menus on a LINE Official Account.
by launchdarkly
Provides a Model Context Protocol server that enables AI clients to read and modify LaunchDarkly feature flags and AI Configs directly from their workflows.
by last9
Provides AI agents with real‑time production context—including logs, metrics, traces, and alerts—through a Model Context Protocol server, enabling automatic code fixing and faster debugging.
by langfuse
Access and manage Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and compilation via MCP endpoints and compatible tool commands.
by landing-ai
Provides a lightweight side‑car that translates MCP tool calls into authenticated requests to Landing AI’s VisionAgent REST APIs, returning JSON responses and visual outputs for computer‑vision tasks.
by lambda-capture
Provides a semantic search API for macroeconomic data, enabling AI agents and quantitative research tools to retrieve relevant economic indicators via MCP calls.
by kuzudb
Provides programmatic access to Kuzu graph databases, enabling language models to retrieve schema details and run Cypher queries directly against the database.
by kurrent-io
Enables exploration of KurrentDB data by reading, writing, and creating projections through a simple MCP server interface.
by knocklabs
Enables integration of Knock's notification and management APIs into AI agent frameworks and Model Context Protocol clients, supplying ready‑made tools for OpenAI, Vercel AI SDK, LangChain, and custom MCP servers.
by keboola
A bridge that connects Keboola projects with AI agents, exposing storage, component configurations, SQL transformations, job execution, workflow orchestration, and Data Apps through the Model Context Protocol.
by kagisearch
Provides web search and video summarization capabilities through the Model Context Protocol, enabling AI assistants like Claude to perform queries and summarizations.
by jsdelivr
Provides LLMs with the ability to execute network measurement commands such as ping, traceroute, DNS, MTR, and HTTP across a global set of probes.
by jfrog
Provides repository management, build tracking, runtime monitoring, security scanning, and package catalog capabilities for the JFrog Platform via Model Context Protocol.
by jamsocket
Run AI-generated Python code securely in persistent, stateful sandboxes that can stay active indefinitely.
by its-dart
Provides AI-powered project management capabilities via a Model Context Protocol server, allowing assistants to create, list, update, and delete tasks and documents in Dart without directly handling the underlying API.
by ip2location
Provides detailed geolocation information for IPv4 and IPv6 addresses using the IP2Location.io API.
by intsig-textin
Extracts text and performs OCR on images, PDFs, and Microsoft Office documents, converts documents to Markdown, and retrieves structured key information in JSON format.
by integromat
Enables Make scenarios to be invoked as tools by AI assistants, handling parameter parsing and returning structured JSON results.
by membranehq
Provides actions for connected integrations on Integration.app, exposing tools through Model Context Protocol endpoints for static and dynamic usage.
by inkeep
Provides RAG‑powered retrieval of product documentation and content through a Model Context Protocol (MCP) endpoint.
by quickchatai
Provides a Model Context Protocol (MCP) server that exposes Quickchat AI agents to any compatible AI application.
by hyperbrowserai
Provides tools to scrape, extract structured data, crawl webpages, and access general‑purpose browser agents such as OpenAI CUA, Anthropic Claude Computer Use, and lightweight Browser Use via a Model Context Protocol server.
by hunter-io
Integrates the Hunter API with any LLM provider supporting the MCP protocol, enabling natural‑language access to B2B people and company data.