"Managing an Appwrite Project" matching MCP servers:

Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.

Enables creating, managing, and analyzing live audience surveys on rifts.to directly from an AI client. Supports creating surveys, listing them, retrieving results, and closing surveys via natural language.

MCP server for OP3 podcast analytics: downloads, geography, app share. Read-only.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

An MCP server that integrates with Siril astronomical image processing software to process Seestar telescope images, offering tools for binary detection, version checking, mosaic processing, and project analysis.

An MCP server that enables saving, retrieving, and managing research content using ChromaDB vector storage and semantic search.

An MCP server for managing pandoc/CSL-YAML bibliographies and verifying citations in documents.

Provides access to philosophy texts including scholarly papers from PhilPapers/PhilArchive and classic books from Project Gutenberg, SEP, and other open-access sources, all without requiring an API key.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

Enables an OpenTrek-hosted agent to persist research activities, project status, and advisor requirements, and generate evidence-based progress reports via MCP tools.

An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Rigid forms cause drop-off, weaken qualification, and strip away context. Perspective uses adaptive AI to capture structured data and trigger automation, so you understand what truly matters to your customers and can make d

This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

An MCP server that provides tools, resources, and prompts for reading, writing, and summarizing research notes stored in a local flat-file database.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables LLM agents to interact with the MOSTLY AI Platform for generating synthetic data, including training generators, managing data connectors, executing queries, and generating synthetic datasets with OAuth 2.1 authentication.