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owl MCP

MCP server for Owl

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

Enables AI assistants to capture website screenshots, automate browser interactions, and manage recurring screenshot configurations across 150+ global locations. It also supports AI-powered domain research and visual change monitoring for any web page.

Enables management of Palo Alto firewalls through their REST API, including system information retrieval, PAN-OS upgrades, HA firewall management via Panorama, content updates, and certificate management.

Provides semantic code search and retrieval capabilities for AI agents, enabling them to query codebases using natural language with automatic learning, hybrid search, and intelligent chunking of functions and classes.

Pandoras-Shell

MCP server enabling AI assistants to execute terminal commands through a secure shell interface

An academic paper retrieval server that enables AI assistants to search and filter millions of scholarly works from the OpenAlex database by keywords, country, and publication year. It provides comprehensive metadata including abstracts, citation data, and institutional affiliations to streamline academic research and literature reviews.

Your AI's research copilot. Searches 6 academic databases, downloads real PDFs, reads them cover to cover, extracts evidence, renders figures, syncs to Zotero.

Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

Deep Research and Batch Tasks

Enables querying, modifying, and managing Parquet files with CRUD operations, semantic search, audit logging, and rollback capabilities for structured data storage.

AI-powered patent search and analysis across 220M+ global patents. Semantic search, prior art discovery, novelty/patentability reports, and patent content retrieval.

Enforces a three-phase gated workflow (Research → Plan → Implement) for complex coding tasks with explicit human approval at each phase transition and automatic context management to maintain focus.

Enables LLMs to search and retrieve PayNow Component documentation directly, accelerating system integration through natural language queries.

A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.

Pdf Reader MCP 096420c4

An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.

Enables local indexing and semantic search of PDF documents (like AGLC4 style guide) with OCR support, allowing LLM tools to query PDF content and retrieve relevant text snippets with context.

peng-shawn mermaid-MCP-server

公开目录未提供摘要。

An MCP server that connects AI agents to the PEPTOMA open DeSci peptide research platform, enabling peptide sequence analysis, feed search, and peer-review annotations.