MCP Servers
67,685 MCP servers for AI apps. Filter by category, badge and popularity.
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This project provides a Model Context Protocol (MCP) server that exposes the entire Bugcrowd REST API as callable tools for LLMs and automation. It is implemented in Python using the async MCP SDK and is ready to use with Claude Desktop, MCP Inspector, or any compatible LLM.
Showcase MCP server for the Burnish Explorer — 34 tools across a fictional consulting company (projects, clients, team members, tasks, incidents, orders) demonstrating every rendering path: cards, tables, charts, stat bars, pipelines, and multi-section dashboards.
Non-custodial BVCC Agent Wallet MCP server. Let an AI agent check balances, send native/ERC-20, approve, and swap on Uniswap v3/v4 across Ethereum, BNB Chain, Arbitrum, Base and Polygon — every spend/recipient/token limit enforced on-chain by the wallet contract. First create a w
Enhanced MCP server for Capacities, the knowledge management app. Features include listing spaces, searching content with full-text and title modes, retrieving complete object content by ID, saving weblinks with metadata and tags, and adding content to daily notes. Fork of the or
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
