MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

A2AJava brings powerful A2A-MCP integration directly into your Java applications. It enables developers to annotate standard Java methods and instantly expose them as MCP Server, A2A-discoverable actions — with no boilerplate or service registration overhead.

Turn meetings into live agent loops. Record, transcribe, and analyze meetings with real-time AI intelligence — before, during, and after calls.

AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.

A set of tools to connect to AI agents, to allow them to use Todoist on a user's behalf. Includes MCP support.

Self-hosted OpenClaw gateway + agent runtime in .NET (NativeAOT-friendly)

High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.

Standardized environment infrastructure for Agentic AI development.

Zotero-backed connector enabling large language models to query collections, items, and notes directly from your Zotero cloud.

Claude Code plugin for Elixir/Phoenix/LiveView — 20 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.

A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.

SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Permanent memory for AI agents. Single binary, zero dependencies, MCP native.

One-command setup for AI-powered Laravel development with Claude Code and MCP servers

labs/mxcp)** (Python) - Open-source framework for building enterprise-grade MCP servers using just YAML, SQL, and Python, with built-in auth, monitoring, ETL and policy enforcement.

The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives. Memories evolve on their own. MCP-native. Single binary.

Lightweight agent orchestration dev tool that lives in your repo

A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches. Local alternative to SERP APIs with MCP server integration.

Spec-Driven Development MCP Server, not just Vibe Coding

WordPress plugin that turns Elementor into an MCP server — 97 AI-ready tools for building, editing, and managing page designs programmatically.

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Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.

Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.