Access and manage Langfuse prompts through the Model Context Protocol, offering discovery, retrieval, and compilation of prompts for LLM workflows.

Runs a Model Context Protocol server that links Make scenarios with AI assistants, exposing on‑demand workflows as callable tools.

Provides a Model Context Protocol server that enables AI assistants to query PostHog analytics, feature flags, error tracking, dashboards, experiments, LLM usage and documentation search directly from your development environment.

Provides a local server that enables real‑time interaction with the Dynatrace observability platform, exposing tools for problem retrieval, DQL execution, Slack notifications, workflow automation, and AI‑assisted troubleshooting.

Alpaca’s MCP server lets you trade stocks and options, analyze market data, and build strategies through Alpaca's Trading API.

MCP Server for Apache Doris, an MPP-based real-time data warehouse.

Enables AI assistants to manage tasks and documents in Dart through a Model Context Protocol server, exposing prompts, resource templates, and tool endpoints for streamlined interaction.

Provides tools to retrieve, query, and visualize OpenTelemetry traces and metrics from Pydantic Logfire via a Model Context Protocol server.

Provides a bridge between the Model Context Protocol and Xero's API, enabling standardized access to Xero accounting and business features.

Enables Roblox Studio to exchange tool requests and responses with AI assistants such as Claude Desktop and Cursor via a long‑polling web server and a stdio‑based RMCP server.

Provides a bridge between AI assistants and StarRocks databases, enabling direct SQL execution, schema exploration, data visualization, and detailed overviews through simple JSON‑based APIs.

Enables repository creation and management, build tracking, runtime monitoring, vulnerability analysis, and package curation for the JFrog Platform through the Model Context Protocol.

Zero‑config, fully AI‑managed end‑to‑end testing for all code generation platforms, offering natural‑language test creation, live browser session monitoring, test suite management, and seamless CI/CD integration.

AgentRPC is a universal RPC layer designed for AI agents. It allows agents to connect to and execute functions written in any programming language, across any network boundary, simplifying the integration of disparate services and tools into a cohesive AI-powered workflow.

Boost security in the development lifecycle via static application security testing, software composition analysis, secrets detection, and infrastructure‑as‑code scanning.

Provides an MCP server that connects to Vectorize for vector search, document extraction, and deep research capabilities.

Provides a Model Context Protocol (MCP) server that enables natural‑language driven test management, manual and automated testing, accessibility scanning, and AI‑assisted debugging across BrowserStack’s cloud devices and browsers.

AgentQL MCP Server is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities, enabling AI agents to get structured data from the unstructured web.

Provides deterministic code generation with agents, offering zero‑configuration AI context generation, technical debt grading, quality enforcement, and MCP integration.

Enables AI agents to interact with Webflow's Data API via the Model Context Protocol, supporting remote and local deployments.

Provides easy RAG and long‑term memory capabilities for large language models by managing documents and enabling semantic search via the Model Context Protocol.

Enables AI models to retrieve relevant information from a Ragie knowledge base via a Model Context Protocol server exposing a single `retrieve` tool.

Fetch cloud cost and usage data from Vantage via natural‑language queries, enabling AI assistants and MCP clients to retrieve, filter, and analyze spend information.

Provides a Model Context Protocol (MCP) server that integrates code quality and security analysis with SonarQube Cloud or Server, supporting direct analysis of code snippets within the agent context.

Provides a Model Context Protocol server implementation for Tinybird, allowing analytics agents to forward data to Tinybird's platform.

Provides translation capabilities via the Model Context Protocol, allowing AI applications to access Lara Translate API for language detection, context‑aware translation, and translation memory management.

Provides Model Context Protocol (MCP) tools that let AI assistants query and modify Shortcut data such as stories, epics, iterations, users, and documents.

Provides a bridge between Keboola projects and AI agents, exposing storage access, component configurations, SQL transformations, job execution, flows, and documentation through the Model Context Protocol.

Access VictoriaMetrics instances through Model Context Protocol, enabling AI assistants and tools to query metrics, explore labels, debug configurations, and retrieve documentation without leaving the conversational interface.

Delivers LSP‑compatible scanning, diagnostics, and remediation for Snyk Open Source, Infrastructure as Code, and Snyk Code directly within supported IDEs.

Provides a Model Context Protocol server that exposes all Twilio APIs and generates MCP tools directly from OpenAPI specifications.

Automates interactions with the PlayCanvas Editor through an MCP server driven by a large language model, allowing programmatic creation, modification, and management of entities, assets, scenes, and store resources.