"A search for Geographic Information Systems (GIS)" matching MCP servers:

Enables users to turn natural-language requests into validated QGIS Processing plans that are executed step-by-step through a QGIS plugin, with safety checks, path confinement, and confirmation gates. It also supports diagnosing GIS errors, resuming blocked runs, and inspecting supported algorithms and past executions.

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.

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables read-only collection and comparison of Google Search Console and Bing Webmaster data, conservative URL protection, content auditing, reviewed-build verification, and private report generation through ten typed tools over stdio.

A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.

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;

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

基于Model Context Protocol (MCP) 的A股实时行情查询服务器，支持查询A股实时价格、历史K线数据、财务信息及市场概况。

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Syncs Google Search Console performance data into a local ClickHouse database and exposes prepared SEO analysis tools to AI agents. Enables diagnosing traffic drops, finding striking-distance keywords, detecting cannibalization, auditing indexing, and generating weekly SEO reports through natural language.

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

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.

A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.

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.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

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

Enables MCP clients to discover processor and controller service types, build and wire Apache NiFi 2.x process groups, schedule them, and debug queues and bulletins through the NiFi REST API. Supports flow spec application, automatic canvas layout, parameter contexts, and an optional read-only mode that blocks all writes.

Provides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.

MCP server for PullPush.ai integration sync engine, providing 43 tools to manage connectors, flows, sync operations, diagnostics, and more through the Model Context Protocol.

An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.

Enables LLMs to interact with Google Analytics 4 data through the Google Analytics Data API, supporting standard reports, real-time data, and metadata retrieval.

Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.

A bridge that allows AI agents to access and manipulate Odoo ERP data through a standardized Model Context Protocol interface, supporting partner information, accounting data, financial records reconciliation, and invoice queries.

An MCP Server for controlling Airflow via Airflow APIs.

A Model Context Protocol server for controlling Airflow 3 via Airflow APIs.

Provides a secure FastMCP gateway to Google Analytics Admin and Data APIs, deployable on Coolify with OAuth protection and encrypted storage.

This server enables multi-agent conversations for interacting with Cirro's biological data platform through its OpenAPI interface, auto-generated using AG2's MCP builder.

Enables AI agents to perform professional-grade geoprocessing tasks such as buffers, overlays, reprojections, and terrain analysis with deterministic tools and verifiable provenance.

This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.