Browse and discover Model Context Protocol compatible servers
**Concise Descriptions:** * **MCP client library for custom agent integration. Simplifies server interaction.** (79 chars) * **Easy MCP interaction with custom agents. Client library.** (55 chars) *
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
ESP32 server backend. Enables quick setup of ESP32 device control.
Open Source TypeScript AI Agent Framework
This repository provides an IDA Pro MCP server, enabling vibe reversing with functionalities like metadata retrieval, function manipulation, decompilation, disassembly, and comment setting within the IDA Pro environment.
GhidraMCP is a Ghidra plugin and MCP server that allows LLMs to autonomously reverse engineer applications by exposing Ghidra's core functionality to MCP clients for binary analysis and decompilation.
MCP Go is a Go implementation of the Model Context Protocol, enabling seamless integration between LLM applications and external data sources and tools. It simplifies building great tools by handling
Higress is a cloud-native AI gateway based on Istio and Envoy, offering extensibility with Wasm plugins and a user-friendly console. It provides high availability and load balancing capabilities for various services.
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
**MCP: Model Context Protocol specification & documentation. Defines data exchange for model context & interoperability.**
No description provided
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
No description provided
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.