"Using Pollinations to Create Images Without Logos" matching MCP servers:

Enables image search on Google Images with size, color, and type filters, returning up to 100 results per call including source pages and full-resolution URLs.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Enables AI clients to search a local literature library via vector semantic retrieval, with automatic conversion of Zotero items and arbitrary files into Markdown (including OCR for scanned PDFs). It supports natural language queries and provides answers with page-level citations.

Enables any agent to query the same interview corpus as the UI over stdio, exposing tools to list transcripts, search quoted lines, retrieve verified themes with citations and dropped reasons, and fetch source lines.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Query iOS App Store revenue and download estimates for any app directly from your agent. Two tools: estimate_app returns monthly revenue and downloads with a confidence label (verified / calibrated / modeled), and search_apps resolves an app name to its App Store id.

An MCP server providing progressive discovery tools for SDMX statistical data, enabling AI agents to explore and access SDMX-compliant repositories through interactive tools, resources, and prompts.

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

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

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.

An MCP server that scrapes e-commerce product and category pages into structured JSON, enabling Claude to build presentations, market analyses, and competitive product comparisons. Currently optimized for Trendyol.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Provides tools to interact with the OpenCTI platform, including checking if a campaign exists.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.

Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.

A read-only MCP server for Goodreads that enables LLMs to search for books, retrieve detailed book info with ratings and reviews, and explore recommendations, series, and author bibliographies using public data sources without requiring authentication.

Provides access to the GDELT DOC 2.0 API for searching global news articles and images across 65 languages with customizable timespans and query options.