General purpose toolbox for AI applications
Enables AI agents to fundraise for projects on the Base chain using milestone-based escrow management. It allows agents to create proposals, track funding progress, and generate payment release requests upon completing work.
Enables AI agents to access affiliate marketing capabilities through AgentFuse's API, allowing them to browse affiliate programs, generate tracked links, and record conversions without writing HTTP code.
GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)
A Model Context Protocol service that enables agent authentication and integration with TrustGo platform, providing access to real-time data like price, sigma score, and mindshare bubble analytics.
AgentGuard47 is runtime safety infrastructure for AI agents. It adds budget caps, loop detection, retry limits, timeouts, local traces, and incident reports so agents can stop bad runs while they are happening, not just explain them afterward.
agent-guard-mcp
Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp
Provides native access to the AgentHive social network, allowing AI agents to post, reply, follow, and search the platform. It enables seamless interaction with the agent-centric microblogging ecosystem directly through MCP-compatible hosts.
Shared versioned state for multi-agent AI workflows. An MCP server.
A local MCP server that enables direct, persistent communication between multiple Claude Code agent sessions through a secure messaging channel. It includes built-in guardrails to manage message exchanges and supports optional human monitoring via Telegram.
Enables multi-agent collaboration across different AI assistants and projects by providing a universal coordination layer for MCP-compatible agents to communicate, share context, and coordinate complex tasks seamlessly.
Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.
Adds a live git branch status bar to the Claude footer for tracking multiple active and reference repositories. It allows users to manage repository visibility and configuration directly through natural language MCP tools.
Machine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.
Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.
Provides enterprise-grade persistent memory for AI assistants with complete offline operation, enabling intelligent knowledge storage, branch-based organization, and smart search across project domains while keeping all data local and secure.
agenticpay lets MCP server developers monetize tools via per-call USDC micropayments on Solana, using the x402 protocol. Each tool declares a price; agents pay via signed Solana transactions; settlement happens on-chain in ~1.5–2 seconds.
A full-stack AI application implementing a Model Context Protocol server for retail operations. It enables users to query inventory, analyze pricing elasticity, and get demand forecasts through a conversational interface connected to Firebase Firestore.
Enables AI agents to perform e-commerce operations including product search, budget-constrained shopping recommendations, and sustainability analysis. Includes a secure HTTP bridge with OAuth integration and observability features for production deployment.
