"Informational MCP Servers with Croissant Dataset Format Support" matching MCP servers:

MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.

An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.

Enables interaction with the Hugging Face Dataset Viewer API, allowing users to browse, search, filter, and analyze datasets hosted on the Hugging Face Hub.

Enables querying JSON/JSONL social datasets in Claude Desktop via MCP tools, using DuckDB as the backend database.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

A production-ready TypeScript MCP (Model Context Protocol) server for Cisco Support APIs with comprehensive security and dual transport support. This extensible server provides access to multiple Cisco Support APIs including Bug Search, Case Management, and End-of-Life information.

Enables local, deterministic management and search of point-of-sale support data—branches, terminals, incidents, and incident history—with read-only queries and mutating tools over stdio using simulated SQLite data.

Enables enterprise SaaS support teams to get retrieval-augmented answers from indexed support documentation and to run natural-language questions as SQL queries against a support PostgreSQL database. It returns answers with source references and exposes the generated SQL alongside its results, with optional tracing and evaluation.

Enables asking questions in plain English about 61,765 customer-support tickets, returning exact answers computed via SQL queries over DuckDB.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.

Enables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.

This MCP server enables users to interact with and analyze the dair-ai/emotion dataset from Hugging Face containing labeled Twitter messages. It provides tools to sample data, search text, and perform statistical analysis on emotion distributions.

Enables AI agents to import datasets from Hugging Face or Parquet, CSV, JSON, JSONL and DuckDB sources, map them onto a user-defined schema with per-row metadata, then preview, sample and write the converted rows into DuckDB files. Also exposes schema management, split lookup and target listing so an entire conversion pipeline can run in one call.

Enables automated dataset processing and onboarding using Google Drive integration. Provides metadata extraction, data quality assessment, and contract generation for CSV/Excel files through natural language interactions.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.

Enables AI assistants to perform CRUD operations on a SQLite database, with all tools protected by Google OAuth 2.0 authentication.

Enables AI assistants like Cursor to manage customer support tickets in SQLite through MCP tools, supporting creation, retrieval, search, and updates via natural language.

Automates trade surveillance support workflows by parsing inquiry emails, searching SQL configs and Java code using keyword-based metadata annotations, executing reports, and generating comprehensive responses.

An MCP-compatible server providing tools for retrieving order statuses, searching knowledge bases, and managing support tickets. It facilitates automated customer service interactions by exposing internal CRM and database functions through a JSON-RPC interface.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Provides LLM access to Exasol database via MCP tools, including metadata reading and data queries, with an optional on-premise text-to-SQL (Governed SQL) translation.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

Enables you to chat with your PostgreSQL database via natural language, with GitHub OAuth authentication and role-based access control for secure read/write operations.

Provides Claude with direct access to databases including SQLite, SQL Server, PostgreSQL, and MySQL, enabling execution of SQL queries and table management through natural language.

An MCP server exposing three tools — a read-only PostgreSQL commerce database, a live weather API, and a calculator — behind a real MCP protocol client/server boundary. It enables natural-language questions that combine database and weather data, with real-time streaming of tool calls and model error recovery.

Provides authenticated access to PostgreSQL databases for Claude AI, enabling users to browse database tables, discover schemas, and execute custom SQL queries through natural language interaction.

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.

A Python MCP server that authenticates users via Microsoft Entra ID, stores per-user data in Azure Cosmos DB, and provides admin tools based on Entra group membership.