"All items" matching MCP servers:

Enables AI agents to manage a local-first household inventory, recording receipt emails and maintaining a probabilistic estimate of stock levels. Provides tools to query stock, identify items to reorder, and correct ingestion errors, all without any cloud dependency.

A read-only MySQL MCP server supporting stdio, SSE, and Streamable HTTP transports, enabling secure querying and schema inspection of MySQL databases from MCP clients.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

Enables CRUD operations on inventory items stored in Azure Cosmos DB via MCP tools, allowing creation, reading, updating, and deletion of items.

Self-hosted governance layer between an AI assistant and your data: allow/deny policy, deterministic PII masking, row caps, and a hash-chained audit log with an Ed25519-signed receipt for every access, verifiable offline.

Enables querying and acting on any Acumatica ERP tenant's contract-based REST API through 8 generic tools, covering all entities with read-only by default safety.

Enables AI agents to read-only query an online store's SQLite database, listing tables, inspecting schemas, and running SELECT queries over customers, products, orders, and order items.

Enables Claude to query your local TimeScribe time tracking database read-only, listing projects and returning work, break and scheduled hours per project or day, plus individual entries and the live running timer, without exporting CSVs. All data stays on your machine with no network access.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

MCP server for querying inventory items and stock levels via internal API, enabling AI chatbots to look up product codes and current quantities.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Read-only SQL across PostgreSQL, MySQL, S3-compatible buckets and folders of Parquet, CSV and JSON files — and one query can join across all of them, federated in-process by DuckDB. Sources are given as connection strings at startup, and no tool writes: they are absent rather than disabled.

Enables AI agents to inspect real databases through MCP with tools for listing tables, describing schemas, sampling rows, running queries, and explaining execution plans, all with engine-enforced read-only access to SQLite and MySQL.

Enables interaction with Notion databases through the Notion API, supporting full CRUD operations on pages and databases. Supports advanced querying, filtering, sorting, and all property types with Docker deployment for easy integration with Cursor and Claude.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

Enables LLMs to safely query databases through a secure gateway that masks PII, enforces role-based table access, rate limits requests, and logs all queries, with Prisma support.

Parses Italian INAZ payslip PDFs into a local SQLite database, enabling AI clients to analyze salary history, search items, and get detailed breakdowns while keeping data on your machine.

Enables reading and writing WiseGrid sheets, including listing sheets, paginating rows, adding and updating records, and running reports, all from an MCP client with API key authentication.

Read-only MCP server for Dynamics 365 Business Central, enabling AI clients to query live ERP data like customers, items, orders, and invoices via GET-only APIs with dual authentication and stdio/HTTP transports.

A multi-database MCP server supporting MySQL, PostgreSQL, MongoDB, and SQLite with read-only and read-write query capabilities, schema inspection, and SSH tunneling, all without Docker.

Enables AI agents and developers to introspect SQLite schemas, run sandboxed read-only queries with pagination, inspect query plans, and generate token-dense database summaries for LLM context. All operations enforce multi-layer read-only safety so databases can be explored without risk of mutation.

Enables AI agents to query tenants, browse catalogue items with pricing, pull recent orders, and add products through the MCP tool-calling interface.

A read-only Model Context Protocol server for Vetroscope that provides LLMs with detailed time-tracking data, including reports, app/project breakdowns, goals progress, and activity status, all from a local SQLite database.

The Finance Toolkit gives AI assistants access to 500+ financial metrics, all calculated transparently from raw financial statements, not pulled from third-party endpoints.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

A unified MCP server that auto-discovers and exposes all IndieKit tools (PostgreSQL, development, terminal UI) through a single endpoint.

Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.

The official Model Context Protocol server for Skema CMS, enabling AI clients to interact with and manage CMS data. It provides tools for reading, creating, updating, and searching collections and items through natural language.

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.