Top MCP Servers

Enables interaction with the Datadog API through a Model Context Protocol server, providing access to monitors, dashboards, metrics, logs, events, and incident data.

Provides a Model Context Protocol (MCP) server that enables AI agents to query Grafana Loki log data via stdin/stdout or Server‑Sent Events, supporting both local binary execution and containerized deployment.

Provides a unified mono‑repo of Python utilities, LangChain integration, MCP server, and experimental migration agents to build AI‑driven graph applications on Memgraph.

Provides automatic security vulnerability remediation for code via a command‑line interface and an MCP server, leveraging findings from popular SAST tools such as Checkmarx, CodeQL, Fortify, and Snyk.

Enables AI assistants to interact with Outline documentation services, providing search, reading, editing, comment management, and document creation through a Model Context Protocol server.

Enables AI agents to query Axiom data using Axiom Processing Language (APL) through a set of Model Context Protocol tools.

Fetches HTML or markdown from bot‑protected websites, delivering plain‑text content that AI assistants can process.

Interact with Optuna APIs through Model Context Protocol, providing primitive functions for study management, trial suggestion, result reporting, visualizations, and a web dashboard.

Delivers a catalog of 172 expert marketing methodology skills as structured MCP‑compatible modules, enabling AI agents like Claude to perform high‑level marketing, sales, and growth tasks.

Enables Claude Desktop to perform Neo4j graph database operations using natural language commands.

Enables AI models to create, modify, and execute tools at runtime while maintaining safety through sandboxing, code validation, and comprehensive journaling.

Generate natural speech, translate and dub videos, clone voices, remove hardcoded subtitles, and extract subtitles using powerful AI APIs.

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.

Creates flashcards from chat notes or PDFs via the Model Context Protocol, interfacing with the Rember API.

A CLI‑first knowledge layer that gives AI persistent memory of project context, enabling tasks, linked documentation, and built‑in time tracking while keeping everything version‑controlled in a local .knowns folder.

Enables seamless interaction with NocoDB databases using natural language commands to perform CRUD operations, column management, bulk actions, and file‑based table creation.

Provides API access to Codacy's repository, file, quality, coverage, and security analysis, exposing a suite of tools for automated code review and metrics retrieval via an MCP server.

A Model Context Protocol server that lets AI assistants interact with OpenSearch clusters to perform searches, retrieve mappings, manage shards, and execute a wide range of cluster‑level operations via stdio or streaming transports.

A Rust‑based command‑line utility that discovers and documents MCP Server capabilities, with flexible output formats including terminal, Markdown, HTML, plain text, JSON, or custom Handlebars templates.

Provides movie data, search, trending lists, and recommendations by integrating the TMDB API.

Provides Gmail read and send capabilities via MCP without requiring local credential files, supporting headless and containerized operation.

Delivers job listings based on user-defined criteria such as time range, keywords, exclusion keywords, and remote work preference.

Provides universal access to over 800,000 Federal Reserve Economic Data (FRED) time series via three MCP tools for browsing catalogs, searching series, and retrieving data with transformations and date filters.

Extracts YouTube video captions, subtitles, and metadata to supply structured information for AI assistants to generate concise video summaries.

Provides a Model Context Protocol server that enables searching, metadata retrieval, lineage traversal, and SQL query listing for DataHub entities.

Provides secure, structured access to Microsoft SQL Server databases for AI assistants, enabling table listing, data retrieval, and controlled query execution.

Manages Containerd CRI interfaces via an MCP server, handling container lifecycle, pod sandbox operations, and image management.

Enables human‑in‑the‑loop feedback within Cline and Cursor tools via a Model Context Protocol server, allowing developers to request user input before completing tasks.

Provides LLM‑friendly, Model Context Protocol tools to retrieve and explore Nasdaq Data Link’s extensive financial, economic, and fund datasets directly from large language models.

Provides a knowledge‑graph memory server backed by DuckDB, enabling fast, scalable storage, fuzzy search, and relational queries over entities, observations, and relations.

Curated catalog of AI coding resources—including MCP servers, reusable skills, rule sets, and prompt templates—plus a CLI tool for one‑command search, browse, and installation directly from AI agents.

Runs a local MCP server to bridge Glean API with client applications, enabling quick testing and development.