"Design Resources and Prototyping Best Practices" matching MCP servers:

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

MCP server for building and maintaining Hex notebooks from Claude Code. Wraps the Hex API with design-system-aware chart injection, notebook diagnostics, and full cell lifecycle management.

An MCP server for executing Malloy queries and managing Malloy resources.

Enables training and evaluating Logistic Regression and KNN models on breast cancer data, making predictions, selecting the best model, generating SHAP explanations, and exporting Parquet audit logs through MCP tools.

Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.

A Python MCP server for deterministic fuzzy text matching using RapidFuzz. It enables text normalization, string comparison, best-match ranking, duplicate grouping, and match explanation via configurable profiles and strategies.

Enables querying and managing SAP Cloud Platform Integration resources such as packages, integration flows, message processing logs, security material, and artifact lifecycle through the CPI OData v2 API.

Read-only MCP server for ZenMoney that syncs financial data into memory and exposes it through tools and resources, enabling agentic analysis of transactions and spending patterns.

Enables access to ForexFactory economic calendar data through MCP resources and tools. Supports retrieving economic events by time periods for integration with trading assistants and agentic workflows.

A Model Context Protocol server that enables AI agents to interact with Alibaba Cloud DataWorks through standardized interfaces, allowing seamless management of DataWorks resources and operations via the DataWorks Open API.

Reference implementation of KIP-1318, a secure Model Context Protocol server for Apache Kafka that enables AI agents to interact with Kafka clusters through governed tools and resources.

Enables AI applications to integrate with Tableau through tools, resources, and prompts for querying data, exploring content, and retrieving visualizations from Tableau workbooks and datasources.

MCP server for managing Tailor Platform resources via tools like create, update, destroy, and search resources, as well as GraphQL queries.

Enables AI assistants to search and manage GeoNode resources via natural language, including metadata editing, permission changes, uploads, and ownership transfers, all under the acting user's own permissions.

MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.

Enables AI applications to integrate with Tableau through developer primitives including tools, resources and prompts. Supports querying data from datasources, exploring content like workbooks and views, and retrieving visualizations using the Tableau REST API.

Enables an agent to guide secure onboarding, provision required Cloud.ru resources through APIs, stage and import sales CSV data into ClickHouse, and publish and verify revenue and contribution-margin dashboards in Managed BI with cost approval.

Enables natural-language battery-cell requirements to be parsed and routed to simulation backends, returning design forms and performance metrics while supporting calibration, thermal-runaway, COMSOL, and UI draft workflows.

An MCP server that lets an AI assistant look at your boat's Signal K data and help you design and install KIP dashboards.

Sozio Business is a standalone local MCP server for combining private company data with 22,635 profiled Swiss open-data resources.

Provides a runtime-only MCP server and REST API for datasets, connections, flows, pipelines, and cron scheduling, without server-side LLM execution or entity-authoring admin UI, enabling clients to operate and manage these resources programmatically.

Provides system utilities, file operations, data tools, creative idea generation, and dynamic resources via MCP, with auth support for bearer tokens and OAuth.

An MCP server that connects to Supabase PostgreSQL databases, exposing table schemas as resources and providing tools for data analysis through SQL queries.

Enables AI agents to build point-in-time factors from SEC filings and run cross-sectional signal backtests on locally supplied prices, with lookahead blocked in code, costs and market impact charged on real trades, crisis and out-of-sample checks, and every variant logged so the best run is judged against the whole search.

Enables AI assistants to query real-time and historical market data across A-shares, Hong Kong, US stocks, funds, futures, and options, compute technical indicators, and run composite workflows such as stock analysis, screening, sector breakdowns, and market overviews through tools, prompts, resources, and prebuilt skills.

Enables AI assistants to retrieve and analyze real-time and historical market data across A-shares, Hong Kong, US stocks, funds, futures, and options, including technical indicators, sector data, screening, and composite analysis. It also provides MCP prompts, resources, and skills for stock analysis, market overview, and portfolio monitoring.

Enables training and comparing machine-learning models, generating predictions and SHAP explanations, evaluating performance, selecting the best model, and exporting Parquet audit logs through MCP tools.

An MCP server that exposes live game data from Workers & Resources: Soviet Republic to Claude by parsing game autosave files. It enables users to monitor population demographics, economic metrics, and trade history through natural language queries.

Enables AI agents to manage Chartbrew resources like teams, connections, datasets, dashboards, and charts via natural language.

Enables natural language management of apps, services, resources, attributes, and data via the Dimetrics API with full CRUD operations and advanced filtering.

Enables management of Unity Catalog resources (catalogs, schemas, tables) and execution of SQL queries on Databricks SQL Warehouses.

Enables AI assistants to interact with Metabase by providing access to dashboards, questions, and databases through the Metabase API. It allows users to list resources, execute existing cards, and run custom SQL queries to retrieve data through natural language.