"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 read-only exploration of SAP Datasphere tenants, letting users list spaces and modeling objects, read objects' raw CSN definitions, and trace upstream dependency graphs with evidence. It enforces read-only DEV/QAS/PRD access through the official SAP Datasphere CLI and OAuth, with no mutation, SQL, or arbitrary command capabilities.

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.

A stdio MCP server exposing a validate_emails tool that lets agents screen email lists without sending mail or probing SMTP, checking syntax, DNS/MX records, disposable domains, role accounts, free providers, typo suggestions, and SPF/DMARC. Each address comes back with a valid/risky/invalid/unknown verdict plus machine-readable reason codes so agents can clean leads and signups before outreach or import.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

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.

Lets an agent query JSON files too large for its context: JSONPath with aggregation pipes, schema, field profiles, samples, identity-keyed diff, CSV and spreadsheet export, and checks that gate a file. Int64 IDs and decimals keep their exact digits, and zstd, Base64-Zstd and PostgreSQL bytea payloads open directly.

An MCP server that enables AI coding assistants to interact with a local Airflow cluster via its REST API for triggering DAG runs, monitoring status, reading logs, and diagnosing errors.

Yandex Metrica over MCP: 13 tools for counters, goals, Reporting API queries with period comparison, and the full Logs API export lifecycle with preview-first downloads.

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.

Enables document processing with Suparse API, extracting structured data from documents into JSON, CSV, XLSX, or Google Sheets, and supports processing single files or folders.

PreReason is a financial data MCP server and REST API for AI agents. Ask what a listed company reported, where Treasury yields stand or what the Federal Reserve decided, and one call returns a briefing reasoned in advance, across asset classes and regions, with every figure dated and every source named. Agents start at https://www.prereason.com/agents.md

Matches expected payments (pain.001) against observed booked entries (camt.053) for ISO 20022 cash reconciliation, providing explainable match results with scoring and classification.

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 tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

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.

Local-first data quality validation for Excel/CSV: schema-aware checks with 10 zero-code constraint types (uniqueness, ranges, foreign keys and more) and row-level error reports.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Generate realistic multi-table synthetic datasets from plain English. Supports 18 industry domains, narrative growth curves (Black Friday, Q4 spike, 10x MRR), and 15 locale packs. Works with Claude Desktop, Cursor, Windsurf, Zed, and Continue.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

Enables agents to resolve data incidents by preparing remediation, inspecting verification results, and staging for human approval, while integrating with DataHub for evidence.

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.