"Understanding Proxies or Proxy Servers" matching MCP servers:

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

Enables AI agents to autonomously buy and operate mobile proxies via MCP, supporting both API key and on-chain USDC payments for tasks like port creation, IP rotation, and traffic management.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

Proxies a remote MCP server to add protocol-native background task support, including task management and progress forwarding, while preserving synchronous calls.

A transparent proxy and execution firewall that intercepts and audits AI agent tool calls against configurable security policies before forwarding them to downstream MCP servers. It provides safe execution environments with features like data redaction, anti-loop protection, and unified alert dispatching.

An MCP server that acts as a proxy to connect MCP clients to agent frameworks like Mastra and LangGraph, enabling agent discovery, dynamic server connections, and recursive agent networks.

A tool that accelerates MCP protocol adoption by automatically generating MCP-compatible server components from OpenAPI specifications, enabling seamless integration with existing services as a sidecar.

Wraps any stdio MCP server, holding each tool call until a human approves or denies it from their phone, and only then executing the call.

An MCP proxy that records every tool call, restores prior state on undo, and blocks irreversible actions until a human approves them.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

Enables AI agent skills to route state-evaluation requests to TypeSafe AI's Jev System One model, supporting typed questions, choice classification, binary probabilities, and rubric scoring with calibrated confidence.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A proxy server that enables communication between clients (like Claude AI or VS Code) and JetBrains IDEs, allowing AI assistants to access IDE functionality.

Exposes app-registered tools as an MCP server for OpenClaw, forwarding actual tool execution back to the app over a WebSocket bridge.

A local-first middleware proxy that proxies multiple MCP servers through a single entry with schema minification, semantic routing, security hardening, and state guard.

A strategic advisory agent that applies Clayton Christensen's frameworks, such as Jobs-to-Be-Done and Disruption Theory, to analyze business decisions. It enables users to evaluate organizational capabilities, explore historical case studies, and receive theory-grounded strategic insights.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

Provides Multi-Agent Conversation Protocol interface for the SoundCloud API, enabling AI agents to interact with SoundCloud's music streaming platform through natural language.

An MCP (Multi-Agent Conversation Protocol) Server that provides access to Google Cloud's Dataproc Metastore API, enabling AI agents to manage and interact with Hive metastore services through natural language.

An MCP server that enables natural language interactions with Google's Dialogflow API, allowing users to create and manage conversational agents, intents, and entities through the Dialogflow v3beta1 API.