"Guidance on operating Linux and installing services" 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.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

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.

A read-only MCP server for querying SQL Server Analysis Services (multidimensional cubes via MDX and tabular models via DAX) using Windows Integrated Security.

Enables environmental scientists to tidy PFAS lab files, screen results against two drinking-water guideline sets side by side, search public guidance with page-level citations, and check report text so every number traces back to its lab row or guideline page.

Enables AI assistants such as Claude to read fields, boundaries, field operations, equipment, machine health, products, operators, guidance lines, and work plans from a John Deere Operations Center account on the user's own computer. It is read-only and cannot change anything in Operations Center.

Enables document processing through Upstage AI services including parsing various document formats, extracting structured information with custom schemas, auto-generating extraction schemas, and classifying documents into categories.

MCP server for Speckle that enables AI-powered AEC interoperability, letting users manage Speckle projects, models, and versions through natural language, with guidance for data push/pull via native connectors.

Provides AI-assisted guidance for the Weik.io integration platform, enabling planning, implementation, testing, and deployment of integrations using Apache Camel and specialized Weik.io features.

Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.

An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks.

MCP Server for executing XPath queries on XML content

Provides AI assistants with versioned guidance for Kedro projects, including notebook conversion and project migration.

Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.

Provides access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services, enabling LLMs to build full stack solutions by interacting with the Aiven ecosystem.

Bring professional data to the AI you already use. QVeris connects AI assistants and workflows to services for company financials, social media, life sciences, research, patents, and e-commerce. Discover services, review scope and pricing, call them, and audit usage through one MCP connection. Requires a QVeris API key; charges depend on the selected service.

Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

Enables operating Dataiku DSS projects, datasets, and Agent tools from any MCP client over Streamable HTTP, with read-only by default and secure bearer-token authentication.

Enables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views.

MCP server for integrating with Bika.ai platform, enabling AI assistants to perform CRUD operations on databases, manage attachments, and utilize automation and webhooks.

Enables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.