"Servers Offering MCP Prompts as Prompt Primitives" matching MCP servers:

Enables AI agents to safely query and explore Apache Impala clusters with read-only SQL, metadata, statistics, cluster overview, and analysis prompt templates.

Enables users to convert structured data into Token-Oriented Object Notation (TOON) to reduce LLM token usage and costs by up to 70%. It provides tools for encoding, decoding, and analyzing data formats like JSON, CSV, and XML to optimize prompt efficiency.

Enables deterministic aggregation, BM25 keyword search, and report generation over a large IT ticket-history dataset through MCP tools, prompts, and client-model sampling.

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

Snowflake integration implementing read and (optional) write operations as well as insight tracking

Provides unified interface for Qlik Sense Enterprise APIs through Model Context Protocol, offering 21 tools for managing applications, data, users, and analytics operations.

It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks.

A Model Context Protocol server enabling product searches across e-commerce platforms, price history tracking, and product specification-based searches using natural language prompts.

An MCP server that integrates Verodat's data management capabilities with AI systems like Claude Desktop, enabling users to manage accounts, workspaces, and datasets, as well as perform AI-powered queries on their data.

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 that exposes Parseur document parsing and mailbox management as tools for AI assistants, allowing natural language control of parseur.com.

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

Enables AI clients to serve as a personal career analyst by searching, matching, and explaining job recommendations, managing job applications, and syncing public job boards through standardized MCP tools.

Enables AI agents to query Excel, CSV, Parquet, and NDJSON files as SQL tables, joining data across formats and sheets and exporting results to CSV or Excel.

Enables agents to synchronize, merge, and reconcile distributed state across nodes using conflict-free last-write-wins element sets with Lamport/vector-clock causality, token-bucket gossip dissemination, and quorum-based commit coordination. It runs entirely on the Python standard library and exposes these primitives to Claude Desktop, Cursor, and Windsurf over the MCP JSON-RPC stdio protocol.

Converts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.

Enables an agent to author StageFlow pipelines as JSON and check them against a live backend — its schema, stages, node types and plan ceilings — before spending a run, then execute or stop them and read back status, results, artifacts, meters and the node path a run took. It also exposes the same graphs to an open editor canvas and, when the backend asks, gathers the backend address through the client's own prompt rather than the conversation.

Reconciles a vendor payment tracker CSV against a bank export CSV, categorizing discrepancies such as amount mismatches, unrecorded payments, and reversed transactions.

Enables AI assistants and agents to query exchange hours, futures expiries and roll calendars, settlement and FX sessions, DST gaps, Treasury yield curves, ECB FX rates, and CFTC positioning through paid x402 calls, while offering free catalog and listing helpers.

Exposes 31 normify_* tools as an MCP stdio server, letting MCP hosts such as Hermes directly call upstream dsh-normify functions for structured data operations with input guards and environment configuration.

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.

Integrates with Narrative's Data Collaboration Platform, enabling AI assistants to search attributes, list datasets, manage access rules, and execute NQL queries via MCP tools and prompts.

Enables integration with Tableau to query data, explore workbook content, and retrieve visualization images through natural language. It provides developer primitives for building AI applications that interact seamlessly with Tableau servers.

Enables AI assistants to fetch real-time quotes, K-line data, and technical indicators for A-share, Hong Kong, US stocks, funds, futures, and options, plus composite stock analysis, market scanning, and sector breakdowns. It also ships preset prompts and skills for technical analysis, stock screening, market overviews, and portfolio monitoring.

Enables asking product analytics questions in English and receiving answers as real SQL along with the resulting numbers, through read-only MCP tools for funnels, retention, trends, paths, and event counts.

Enables users to paste messy delimited text and receive a cleaned, structured table by detecting the delimiter, columns, and suspect rows, then returning normalized rows as JSON. It also supports exporting the results as an .xlsx file through a simulated conversational chat interface.

Enables AI assistants to fetch real-time quotes, historical and minute K-line data, technical indicators, sector/futures/options data, and composite analyses for A-share, Hong Kong, and US markets. It also ships with preset prompts and skills for stock screening, market overviews, portfolio monitoring, and technical analysis.

MCP server that turns Excel files into queryable databases, enabling AI agents to filter, aggregate, group, sort data and export results as new Excel files.

Enables AI assistants to query real-time and historical market data across A-share, Hong Kong, US, and fund markets, including quotes, K-line data, technical indicators, sector and futures/options data. It also supports batch market scans, composite stock analysis, condition-based screening, and built-in analyst prompts and skills for financial workflows.

Enables AI clients to query Apache Doris data through a governed semantic metrics layer built on MetricFlow, with raw-SQL discovery as a fallback. It also provides a Semantic Web UI and CLI for managing semantic models, workspaces, credentials, and multi-node deployments.