MCP Servers

Custom fork of filesystem MCP server with modified tool descriptions

This repository contains an Electron-based desktop application that interacts with the Rijksmuseum MCP server, enabling AI-powered exploration of the Rijksmuseum's art collection through a chat interface. This repository contains an

This repository contains a Model Context Protocol (MCP) server for DevRev, enabling information search and retrieval using DevRev APIs. It utilizes tools like `search` and `get_object` and requires a DevRev

The OceanBase MCP Server enables secure AI interaction with OceanBase databases. It allows listing tables, reading data, and executing SQL queries through a controlled and safe interface. The OceanBase MCP

This repository hosts multiple Model Context Protocol (MCP) server implementations, enabling seamless integration with services like Harvest for time tracking and Binance (planned) for cryptocurrency exchange. This repository hosts multiple

This repository provides a Model Context Protocol (MCP) server, enabling Claude and other AI models to access and analyze Twitter/X data through the TweetBinder by Audiense API, offering insights like

Mount MCP servers as filesystems to access reads via standard file commands and perform writes through a CLI tool.

The Verodat MCP Server repository provides a Model Context Protocol implementation for integrating Verodat's data management with AI systems like Claude Desktop, enabling account, workspace, and dataset operations.

This repository provides the MCP Server, enabling AI assistants to safely utilize external tools like Python and web access. It enhances data processing and error handling, empowering bots to solve problems effectively.

The Ergo MCP repository provides a Model Context Protocol server for interacting with the Ergo blockchain, offering tools for exploring blocks, transactions, network statistics, and token price information.

Scan AI artifacts like agent skills and config files for security risks, privacy issues, and instruction-level attacks with a Python CLI tool.

This repository provides an MCP server that uses the AWS SDK to retrieve and list running EC2 instances for a specified AWS region. It requires Node.js, an AWS account, and

Discover OSINT data fast with an MCP server that unifies open-source intelligence tools and streamlines search, collection, and analysis

MCP-based memory layer for Claude Cowork integrating TL;DV transcripts (Google Drive) with RAG-ready retrieval.

This repository provides an MCP server enabling Claude to interact with LinkedIn Insight, allowing users to create, analyze reports, and get insights using their LinkedIn account. The server requires Node.js,