Deploy applications to Google Cloud Run via MCP, enabling AI agents, CLI extensions, and IDE integrations to perform deployments, list services, retrieve logs, and manage GCP projects.

Enables SQL analytics on DuckDB and MotherDuck databases via a Model Context Protocol server, allowing AI assistants and IDEs to query data directly.

Offers an MCP server exposing Chroma's vector database capabilities for LLM applications, supporting collection and document management, multiple embedding functions, and flexible client types such as in‑memory, persistent, HTTP, and cloud.

Add code interpreting capabilities to Claude Desktop via the E2B Sandbox, available in JavaScript and Python editions.

Provides a standardized interface for AI models to retrieve performance data, visualize creatives, and manage Meta advertising campaigns across Facebook, Instagram, and other Meta platforms.

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.

Offers a natural language interface that lets AI agents store, retrieve, and search data in Redis, handling strings, hashes, lists, sets, sorted sets, streams, JSON, and vector indexes.

Enables Burp Suite to communicate with AI clients via the Model Context Protocol, providing an MCP server and bundled stdio proxy.

Run AI-generated Python code securely in persistent, stateful sandboxes that can stay active indefinitely.

Provides a unified server that aggregates multiple Model Context Protocol (MCP) servers into a single endpoint, simplifying configuration, lowering resource consumption, and offering a standardized interaction layer for AI assistants.

Provides a unified, enterprise‑ready gateway and registry that centralizes AI development tools, enforces OAuth authentication, supports dynamic tool discovery, and applies fine‑grained access control for both autonomous agents and coding assistants.

Provides web search and video summarization capabilities through the Model Context Protocol, enabling AI assistants like Claude to perform queries and summarizations.

Provides a Model Context Protocol implementation that enables seamless IDE integration and unified access to prompts, projects, traces, and metrics for the Opik platform.

Provides web and news search, URL crawling, sitemap extraction, deep‑reasoning, and trending topic retrieval via Search1API, exposed as an MCP server for integration with AI clients.

Connect AI chat tools to 500+ business and productivity apps, enabling plain‑English commands to trigger actions like sending emails, creating tasks, updating records, and more.

Provides a Model Context Protocol server that lets LLMs manage Meilisearch indices, add or retrieve documents, and execute fast, natural‑language searches.

Provides a Home Assistant integration that acts as an MCP server, directly connecting to Xiao Zhi AI official server via WebSocket, enabling Home Assistant entities to be accessed and controlled by Xiao Zhi AI without intermediaries.

Access and manage Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and compilation via MCP endpoints and compatible tool commands.

Enables Make scenarios to be invoked as tools by AI assistants, handling parameter parsing and returning structured JSON results.

Provides a local server that enables real‑time interaction with the Dynatrace observability platform, exposing tools for querying data, retrieving problems, sending Slack notifications, and integrating AI assistance.

Provides a Model Context Protocol server that exposes PostHog analytics, feature flags, error tracking, dashboards, experiments, LLM usage analytics, and documentation search to AI assistants and other client tools.

A comprehensive setup for Claude Code, Claude Desktop, and OpenAI Codex that provides ready‑to‑use commands, agents, hooks, and pre‑configured MCP servers to streamline daily development workflows.

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.

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

Facilitates communication between Roblox Studio and AI assistants via a Model Context Protocol server, enabling tool execution such as model insertion and code running directly from prompts.

Provides tools to retrieve and query OpenTelemetry trace and metric data from Pydantic Logfire, allowing LLMs to analyze distributed traces and run arbitrary SQL queries against telemetry records.

Bridge between AI assistants and StarRocks databases, enabling direct SQL execution, schema exploration, data visualization and detailed overviews without complex client‑side setup.

Provides repository management, build tracking, runtime monitoring, security scanning, and package catalog capabilities for the JFrog Platform via Model Context Protocol.

Build, run, and deploy tools for AI agents, enabling seamless integration with LLM frameworks, data sources, and cloud endpoints.

Enables AI assistants to manage Confluent Cloud resources such as Kafka topics, connectors, and Flink SQL statements through natural‑language interactions.

Boost security in the development lifecycle via SAST, SCA, secrets, and IaC scanning.

Provides a comprehensive test platform that enables managing test cases, executing manual or automated tests, debugging issues, and fixing code via natural language commands within AI‑enhanced IDEs and MCP‑enabled clients.