MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
AI & Agents
The verification layer for autonomous agents — a neutral, capital-scale-aware verdict before an irreversible action (review), a signed portable proof after (prove), and a public, on-chain-verifiable track record anyone can check without trusting us (ledger / verify-proof). Pay-pe
A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen)
Baidu Cloud LLM Security MCP Server focuses on addressing security issues such as compliance with generative content for third-party large language models, internal security improvements for large language models, and risk convergence for normalized large language model operations
Minimal MCP (Model Context Protocol) HTTP server for AGENTS.md and structured tasks, with versioned history (logs/revert) and an ephemeral scratchpad, exposed over a Streamable HTTP endpoint. The scratchpad can also be used to spawn context isolated subagents (via Gemini, OpenAI,
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists
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.
