Discover verified Model Context Protocol servers to extend your AI assistants. Install configs for Claude Code, Cursor, VS Code, and more.
Browse 260 MCP servers across databases, communication platforms, cloud providers, DevOps pipelines, analytics services, and version control systems. Each server entry includes verified compatibility badges, GitHub star counts, transport type, install commands, and security notes. The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude, Cursor, and GitHub Copilot interact with external tools and data sources through a unified interface — find the right server to connect your AI workflow to the services you already use.
Run analytical SQL queries against local files (CSV, Parquet, JSON) using DuckDB's high-performance OLAP engine directly from your AI assistant. DuckDB processes data locally without a server, making it ideal for ad-hoc analysis, data exploration, and ETL prototyping. The server supports querying files from local disk, S3, and HTTP URLs. Your AI can analyze datasets, generate reports, create aggregations, and explore data schemas — all with the speed of columnar processing and the familiarity of SQL.
Interact with Databricks workspaces from your AI coding assistant. Execute notebooks, run SQL queries on Unity Catalog tables, manage clusters, browse the workspace file system, and monitor job runs. The server provides comprehensive access to Databricks' lakehouse platform — query Delta tables, inspect data lineage, manage secrets, and submit batch jobs. Particularly valuable for data teams working across notebooks and SQL warehouses who want AI-assisted data engineering workflows.
Manage dbt (data build tool) projects from your AI coding assistant. Run dbt commands (build, test, seed), inspect model lineage graphs, query compiled SQL, check test results, and manage dbt Cloud jobs. The server understands dbt project structure — models, sources, macros, and tests — enabling AI-assisted data transformation development. Your assistant can help write model SQL, debug test failures, optimize materializations, and understand data lineage across your warehouse.
Query ClickHouse analytical databases from your AI assistant for real-time analytics and reporting. Execute complex analytical queries, explore table schemas, monitor query performance, and generate insights from large-scale event data. The server handles connection management, query formatting, and result pagination. Ideal for data engineers and analysts working with ClickHouse-powered analytics platforms who want AI assistance with query optimization, data exploration, and dashboard data generation.
Manage Airbyte data integration pipelines from your AI assistant. Configure sources and destinations, trigger syncs, monitor sync status, and troubleshoot connection issues. The server provides tools for the full Airbyte workflow — discovering available connectors, configuring connection parameters, managing sync schedules, and inspecting sync logs for failures. Ideal for data engineers managing ELT pipelines who want AI assistance with connector configuration and pipeline troubleshooting.