"Mantis Zugriff - Access and Login Information for Mantis Bug Tracker" matching MCP servers:

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

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.

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.

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

Enables AI assistants to track, query, summarize, and delete personal expenses stored in a local SQLite database via natural language.

Enables LLMs to record, list, update, and delete expenses and credits in a local SQLite database, with enforced categories and running balance summaries.

A lightweight MCP server for recording, browsing, and summarizing expenses locally using SQLite, with a customizable categories resource.

Tracks and manages personal expenses with tools to add, view, filter by category, and summarize spending over date ranges using SQLite storage.

Enables recording and analyzing personal expenses locally in a SQLite database, with tools for adding expenses, listing them by date range, summarizing spending by category, and accessing a categories resource.

Enables managing expenses and credits through natural language, with tools for adding, listing, summarizing, editing, and deleting transactions stored in PostgreSQL.

Enables read-only SQL queries and transaction classification tools for local expense tracking, including listing, filtering, and bulk account assignment with dry-run mode.

This read-only MCP Server allows you to connect to Access data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Access (https://www.cdata.com/drivers/access/download/mcp).

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Enables full read-write access to PostgreSQL databases with transaction management and safety controls, allowing LLMs to query and modify database content.

A Model Context Protocol (MCP) server that provides access to a trip tracking SQLite database. This server enables AI assistants to query and manage flight trip information including users, airports, and flight details.

Enables AI assistants to manage personal finances through natural language, including adding, editing, listing, and deleting expenses, organizing them into categories, and setting monthly budgets with overspend warnings. It also provides spending summaries with month-over-month comparisons, budget status checks, and exportable Markdown or CSV reports, all backed by PostgreSQL storage with Google OAuth-authenticated per-user accounts.

Enables ChatGPT, Claude, and other MCP clients to read, search, add, update, and delete entries in a personal specialty coffee collection, plus retrieve favorites and collection statistics. Connects over Streamable HTTP with OAuth-based owner approval and dynamically registered clients, so no API keys are needed.

An intelligent MCP server that integrates Gmail and MySQL to track subscriptions, detect gaps, and send proactive renewal alerts (3 days in advance) to reduce costs.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.