"Client library for the Fortuna API" matching MCP servers:

Provides AI agents a secure MCP interface to a single MySQL or MariaDB database, enabling schema inspection, read-only queries, query planning, and guarded write operations with strict safety controls.

A local stdio MCP server that enables AI tools to search a self-hosted Calibre library over SSH, supporting metadata queries, full-text search, and book details.

Enables searching books, generating APA 7 citations, reserving available copies, and finding alternative books from a MySQL-backed library catalog through MCP.

An MCP server for managing a book catalog, enabling listing, searching by title, author, or genre, adding books, and evaluating arithmetic expressions.

Enables connecting to and querying multiple database types (PostgreSQL, MySQL, SQLite) through a unified interface. Supports managing multiple concurrent database connections with connection pooling and SQL query execution through MCP tools.

Exposes four read-only tools that let an MCP client inspect the catalog schema, run read-only SQL against the local library, search owned games, and check your play status and ratings. This lets a client recommend what to play from the games you actually own across every launcher and store.

MCP server that enables AI agents to read and write records in a live REST API generated from pasted data, with tools for listing, querying, inserting, updating, and deleting records.

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.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables Claude or any LLM to manage a book library via MCP tools, allowing listing, searching, creating, updating, and deleting books through natural language.

Read-only MCP server that proxies The Game Pensieve API over Streamable HTTP, letting AI assistants query a personal game collection via tools like search, filters, and summaries. Supports OAuth 2.1 enforcement and owner-scoped access.

Facilitates secure and type-safe interactions with both v1 and v2 of the Glide API, allowing users to manage app data and perform CRUD operations on tables via a Model Context Protocol interface.

Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2

A server that allows AI agents to interact with the Tally API to access DAO governance data, proposals, and metadata using Model Context Protocol (MCP), built with TypeScript and GraphQL.

Enables AI agents to search and retrieve UK company data, including company details by Companies House number, group ownership structures, website associations, and Real-Time Industrial Classification definitions.

Enables interaction with a comprehensive healthcare management system through FastAPI, supporting operations for patients, doctors, appointments, medical records, telemedicine, lab orders, prescriptions, insurance claims, and more with JWT authentication.

MCP server that exposes book management tools for AI assistants, enabling CRUD operations on book collections through a .NET Books API backend.

Enables read-only access to curated Datum data platform marts, including products, resources, consensus questions, and health metrics, through MCP tools such as list_products, list_questions, ask, query, and health.

Enables AI agents to safely interact with Supabase through read-only and gated-write tools, with bounded queries, allowlists, and explicit project targeting.

Read-only MCP server that provides tools to search books, get book details, list authors, and view library statistics from a PostgreSQL database.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables AI agents to discover and query data federated across MySQL/MariaDB, PostgreSQL, ClickHouse, S3 and Kafka with SQL, exposing tools to list databases, schemas, tables and connections, describe columns, search objects, inspect table statistics, run EXPLAIN, and execute arbitrary statements. It runs locally over stdio against a PostgreSQL-wire endpoint and returns structured results or SQLSTATE-coded errors.

A public MCP server demonstrating how an AI agent can retrieve database schemas and manage local OpenAPI contracts via tools for CRUD operations.

Exposes the full capabilities of Microsoft Dynamics 365 Finance & Operations to AI assistants through 49 comprehensive tools and standardized protocol interactions. It enables sophisticated workflows including OData operations, metadata discovery, and secure database analysis.

A Model Context Protocol server that enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources including categories and charts.

Enables interaction with FHIR resources on Google Cloud Healthcare API through a SmartOnFHIR gateway secured by Firebase Auth, providing access to patient data, medical records, and medical research tools like PubMed.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Exposes Django admin's ModelAdmin as MCP tools, with identical permissions, form validation, and session authentication.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.

Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables natural language querying of PostgreSQL databases with intelligent SQL generation using LLMs.

Enables LLMs and AI assistants to discover and use tools and resources for CRUD operations on generated services, providing direct interaction with the same data exposed by REST endpoints.

Enables LLMs to discover and invoke CRUD tools and read-only resources for generated services, allowing direct interaction with the same data exposed by the REST API.

Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.

Enables LLMs to interact with generated CRUD services through MCP tools and resources, so they can create, update, list, and fetch records via a standard protocol. It also provides REST API access from the same codebase for traditional clients.

Enables managing a personal media collection of films, series, animation, books, and games via MCP, including adding, searching, filtering, updating, deleting, and retrieving statistics.

Provides secure access to VA's VistA electronic health record system, enabling AI applications to retrieve and summarize patient medical records for clinical staff.