"WEMO" matching MCP servers:

Enables AI agents to list metrics and dimensions, inspect definitions, and run governed metric queries against Apache Iceberg tables through a semantic layer, without writing SQL or accessing raw rows or columns outside their role.

Provides governed, deterministic SQL tools over DuckDB for querying sales pipeline data, returning verified results with full source traces. Enables trustworthy natural-language queries about Q1 2026 sales data.

MCP server exposing BI Portal's self-service Report Builder to MCP clients, enabling listing datasets, running ad-hoc queries, creating/editing/submitting draft reports, and viewing saved dashboards.

Enables AI assistants to read fictional facility-management data such as properties, cleaning schedules, complaints, and materials under role-based, branch-scoped access with audit logging. All tools are read-only, with no write, delete, or send capabilities.

Enables read-only document retrieval and SQLite exploration through tools over stdio, enforcing a safety gate before SQL execution.

Enables Claude to answer business questions from a SQL database safely, using read-only queries and bounded summaries, while requiring confirmation and audit logging for order-status changes.

Enables managing a small CRM of companies, contacts, deals, and activities through MCP tools, including creating and updating records, logging activities, searching across the CRM, and summarizing pipeline stages.

A monorepo containing three Model Context Protocol (MCP) servers that enable natural language interaction with databases, GitHub repositories, and time/timezone services.

A demo MCP server with tools for getting weather via wttr.in and executing read-only SQLite queries.

Enables natural language querying of Apache Doris databases via LLM-powered SQL generation, execution, and metadata management through the MCP protocol.

A Model Context Protocol server that enables connecting to PostgreSQL databases and executing queries, listing tables, retrieving schema, and obtaining database statistics through MCP tools.

Provides secure, read-only PostgreSQL database access via MCP tools like query_inventory and get_top_sales. Blocks dangerous SQL commands while allowing AI to execute controlled SELECT queries.

A Node/Express + PostgreSQL MCP server that exposes database-backed tools (list_cases, get_case, add_note) to AI clients, secured with bearer-token authentication.

An MCP server that enables users to transform AI conversations into a structured, searchable knowledge base by saving ideas, code snippets, bookmarks, and reminders. It supports persistent storage through Supabase or PostgreSQL and includes webhook integrations for automating workflows with external tools.

MCP server offering tools to add numbers and fetch GitHub repos, a resource for apartment rules, and a prompt to explain SQL queries.

Enables AI agents to interact with ClickHouse analytics through a semantic layer, exposing datasets and metrics for natural-language querying.

Headless MCP server that exposes MongoDB Atlas and Excel CRUD operations as AI agents over REST and MCP Streamable HTTP, with API-key authentication, plain-English command handling, and optional stdio mode for Cursor.

Enables querying and analysis of container terminal operations including vessel tracking, crane management, and productivity metrics through natural language interactions with a MySQL database.

Enables Claude to ask questions about your fleet data via the Geotab ACE AI service, with support for multi-account authentication, async queries, and DuckDB caching for large datasets.

This is a demo MCP server exposing SQLite-backed task management (CRUD), a calculator, and server metadata tools via the Model Context Protocol, and can be interacted with through natural language via any MCP-compatible client.