"Assistance with macOS Spaces feature" matching MCP servers:

Exposes the automated feature engineering LangGraph agent as MCP tools, enabling dataset profiling, feature planning, and feature code execution through MCP-compatible hosts.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

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.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

Provides a set of tools to interact with Tecton clusters, manage feature stores, and execute Tecton CLI commands through the Mission Control Protocol.

A Model Context Protocol server that enables Claude Desktop to query and analyze Taiwan CoolPC computer component prices, helping users generate custom PC quotes through AI assistance.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

Enables DeepSeek Harness to run bounded archive operations—diagnose, status, sync, and verify—against a local macOS chat database with integrity and privacy protections.

Free remote MCP server for GIS/ArcGIS Online automation — coordinate/EPSG conversion, GeoJSON validation and geometry operations, ArcGIS FeatureServer inspection (feature count/query, schema, health check), and Shapefile/KML/GPX/WKT format conversion. Works with public ArcGIS layers without a token;

Enables AI assistants like Claude Desktop, Claude Code, and Cursor to interact directly with Flatfile data through 100+ API endpoints for viewing, managing, and manipulating sheets, workbooks, records, and spaces.

Enables LLMs to inspect and interact with a local Feast feature store through MCP tools, including listing feature views and services, resolving entities, checking freshness, explaining feature values, and optionally pushing swipes or triggering materialization.

Enables interaction with Tecton clusters through MCP, allowing management of feature stores, execution of Tecton CLI commands, and retrieval of feature store configurations via natural language.

Enables LLMs to interact with Hopsworks for platform management, feature store operations, model lifecycle, jobs, and integrations.

Exposes an agentic AutoML pipeline as a callable tool so any MCP client can upload a CSV and natural language goal and receive a full ML analysis report with SHAP visualizations. Enables autonomous problem understanding, data cleaning, feature engineering, model training, and explainability through a single remote tool call.

Enables MCP clients to run whole-dataset GIS operations such as buffer, clip, reproject, overlay, spatial join, dissolve, zonal statistics, and attribute selection by passing file paths in and out, so an entire dataset is processed in a single call instead of feature by feature. It works over Streamable HTTP with a shared filesystem or base64 upload/download tools for remote clients.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.

Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.

Web extraction MCP server for AI agents. Extract structured data from any URL with built-in Cloudflare bypass, JavaScript rendering, and intelligent parsing. Returns clean markdown or JSON.