"An MCP that effectively manages other MCPs" matching MCP servers:

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

A nested MCP system that demonstrates server composition by using an orchestrator to manage an internal vector store for semantic search. It enables complex, multi-hop retrieval and reasoning over a knowledge base through an agentic reasoning loop.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.

Run and test agentic systems in isolated Docker sandboxes, varying system prompts, models, and task prompts while capturing full behavior traces via MCP tools.

A Model Context Protocol server that supports remote connections and authenticates users via GitHub OAuth, allowing them to access tools based on their GitHub identity.

A hub server that connects to and manages other MCP (Model Context Protocol) servers.

Enables AI agents to request human approvals with customizable forms, webhooks, and team features.

An enterprise-level MCP gateway and proxy that sits between an organization's MCP servers and clients. MCP Manager mitigates security threats, enables fine-grained permissions, enforces policies and guardrails, and generates comprehensive, end-to-end logs.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

MCP server for AgentDNS that allows Claude or any MCP client to register a persona, discover and call other agents, and handle incoming messages with human-in-the-loop approval.

Enables coding agents from different vendors on the same machine to delegate tasks to each other over the A2A protocol, while also allowing the machine to act as an A2A peer.

Connect your agent to any HTTP API on the fly: Liquid discovers and maps any REST API once, then fetches typed data deterministically. Server-side search/aggregate, cross-API normalization, and structured recovery built in.

An MCP server that exposes trading analytics — technical indicators, portfolio state, risk metrics, and backtest results — as tools an LLM agent can call.

An MCP bridge that lets Codex supervise Reasonix as an implementation worker in an isolated Git worktree, ensuring safe delegation with scoped writes and sandboxed execution.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

An MCP server that lets AI agents solve reCAPTCHA, Cloudflare Turnstile, GeeTest, and image captchas via the local CapSkip solver. It enables autonomous captcha handling without per-solve fees or human intervention.

An MCP server that exposes tools for issuing scoped agent credentials, delegating narrower child credentials, handling approvals, revoking task trees, and retrieving audit trails and evidence packets.

Enables AI agents to verify other agents' revenue claims by recomputing Merkle roots locally and checking on-chain anchors on Base.

Agentic payments on Solana: an agent can pay x402 / HTTP 402 paywalls in USDC, hold a pre-paid balance or a subscription, and buy datasets or settle store checkouts. All 15 tools run behind fail-closed spending caps ($1 per payment, $10 per day by default), and settlement is non-custodial through a program-owned escrow that releases 99% to the creator.