"Model Context Protocol server for fetching web content" matching MCP servers:

A basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.

MCP server for exploring and querying Supabase databases with interactive React widgets for schema browsing, table viewing, and SQL execution.

An event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

Typed MCP gateway for Cork Protocol operations, enabling secure and deterministic interaction with operation core and signing gate.

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables AI assistants to interact with Square's Connect API through the Model Context Protocol standard, allowing for operations like managing customers, processing payments, and handling inventory.

Autonomous DeFi yield for AI agents on Base. Query APY rates, agent status, payment splits, and referral stats. 4 read-only tools + 1 resource.

Allows AI assistants to interact with Square's connect API, providing access to Square's complete API ecosystem for managing payments, orders, customers, inventory, and more.

A server built with mcp-framework that allows users to extend Claude's capabilities by adding custom tools that can be used through the Claude Desktop client.

An MCP server providing access to Telos, a philosophical AI mentor that combines rationalist thinking with stoic philosophy to offer personalized guidance and smart contract accountability on Solana.

A Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

Enables AI assistants to use Apify Actors as tools to perform specific tasks like web scraping, data extraction, and searching across various platforms through the Model Context Protocol.

An MCP server for integrating AI models with client applications, allowing for structured interactions with APIs using command-line arguments for authentication and configuration.

A TypeScript wrapper library for the Model Context Protocol SDK that provides a simplified interface for creating MCP servers with tools, resources, and prompts without needing to work directly with the protocol.

A TypeScript implementation of a Model Context Protocol server and client that enables interaction with language models (specifically Mistral running on Ollama).

Serves MCP tools and resources over a Streamable HTTP endpoint, letting clients invoke methods such as echo through JSON-RPC 2.0 requests. Its methods are generated from an OpenAPI Specification file and can be customized via environment variables for port and API URL.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/