APIs & Services

An MCP server that enables AI agents to retrieve and analyze error reports from a self-hosted Telebugs instance. It provides tools for listing projects, searching error groups, and fetching detailed reports directly from the Telebugs SQLite database.

A Dutch supermarket and drugstore comparison tool that tracks prices across 12+ stores, manages shopping lists, and provides budget optimization features including price history alerts.

Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.

An MCP server that enables running tests and retrieving filtered telemetry summaries and on-demand logs to prevent LLM token overflow. It supports Docker and Playwright integration to provide detailed insights into network requests, console errors, and backend logs.

This MCP server enables integration with Discord webhooks, allowing AI assistants to send notifications and customized messages directly to Discord channels.

Provides comprehensive Norwegian business intelligence through Brønnøysund and Statistics Norway APIs, enabling company search, financial analysis, ownership mapping, market research, and automated financial data extraction.

Pay-per-call AI APIs for agents via HTTP 402 crypto micropayments (USDC/USDm)

Enables reading and searching API documentation from YApi instances, allowing AI models to access interface definitions, project API lists, and search through API endpoints using YApi URLs or project IDs.

A robust Infrastructure as Code MCP server that enables AI assistants to manage cloud environments via Ansible playbooks, Terraform plans, and AWS integrations with LocalStack support for local testing.

MCP server for the Waitlister API — manage waitlist subscribers through AI assistants.

A specialized MCP server for managing Maven dependencies by parsing metadata directly from Maven Central. It provides tools to fetch stable versions, list version history, and analyze upgrade paths with strict stability filtering.

A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.

MCP server for the Rclone RC API, with selectable toolsets.

Enables image generation and multi-turn editing sessions using the Gemini API within MCP-compatible environments. Users can create, modify, and configure images through natural language commands, supporting features like aspect ratio adjustments and session-based image transformations.

Enables real-time voice-to-text order processing and chicken business management through WebSocket connections and REST APIs. Supports inventory tracking, sales parsing, stock forecasting, and note collection with AI-powered transcript correction and structured data extraction.

A specialized MCP server that generates personalized store greetings integrated with real-time weather data for specific business locations. It includes a management interface for store location tracking and automated weather reporting.

An MCP server for restaurant discovery and booking across Resy and OpenTable via natural language. It integrates Google Places data with dietary preferences, visit history, and weather awareness to provide personalized dining recommendations and group reservation management.

A Model Context Protocol server that enables AI assistants to manage tasks within an Obsidian vault by listing, adding, and updating todos through the Local REST API and Dataview.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

A Model Context Protocol server for LimeSurvey that enables AI models to manage surveys, groups, and questions, as well as activate surveys and export response data via the LimeSurvey RPC API.

A high-performance Model Context Protocol (MCP) server designed for large language models, enabling real-time communication between AI models and applications with support for session management and intelligent tool registration.

An MCP server that generates comprehensive brand identity kits including color palettes, typography, brand voice, and logo concepts. It enables users to transform business values and descriptions into detailed branding and social media guidelines using the BrandSnap API.

Enables AI-powered generation of platform-optimized ad copy for Facebook, Google Ads, and LinkedIn by wrapping the AdCraft API. It allows users to create tailored marketing content based on specific product descriptions, target audiences, and desired brand tones.

Provides tools to fetch random or categorized riddles, verify answers, and view riddle statistics. It supports communication via HTTP and SSE for seamless integration with AI agents.

A TypeScript-based MCP server that connects AI assistants to Mealie, enabling users to manage and query their personal recipe databases through natural language.

Implements a structured communication bus that allows AI agents to send 'oracle calls' to human operators for resolving complex decisions or judgment calls. It facilitates hierarchical message passing between agents and humans using a file-based request/response system with interaction history archiving.

An advanced web search and scraping server that enables AI models to perform targeted DuckDuckGo searches and extract clean content, tables, and metadata from webpages. It provides specialized tools for news discovery, link extraction, and comprehensive search-and-scrape workflows.

An MCP server that enables AI assistants to perform RAG (Retrieval-Augmented Generation) queries against Amazon Bedrock Knowledge Bases using the Retrieve API.

An MCP server for Apache Superset that enables AI models to manage dashboards, create charts with auto-detection, and execute SQL queries programmatically. It utilizes stateless HTTP transport to ensure compatibility with integration tools like Open WebUI.