"WP Rocket" matching MCP servers:

Three practical MCP tools to investigate agents, threads, and content trust signals.

Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.

A meta MCP server that scales LLMs to 1000+ servers via automatic routing, without exposing all servers and tools directly.

Allows agents to get the current location of the user based on their IP Address or to fetch the location of any IP Address.

Helps AI agents decide what they are justified in believing from the evidence they have. EWP separates stored memory from verified knowledge, preserves conflicts and source lineage, and produces a deterministic warrant result that MCP clients can use consistently across different memory systems.

An MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.

Enables AI CLI agents to interact with WhatsApp using an unofficial multi-device API, supporting messaging, chat/group/channel management, statuses, and an AI-driven inbox without requiring an official API key.

Local-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.

Enables AI agents to search, describe, and call paid data services from the Pocket Network agentic marketplace, paying per request in USDC via x402.

Enables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.

Equips AI agents with institutional risk management and execution tools for Solana and Hyperliquid, enabling Kelly-criterion position sizing, VaR/CVaR analysis, Monte Carlo simulations, circuit breaker checks, and wallet/funding data queries through standardized MCP tools.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

An MCP server that enables AI agents to scan the market, manage positions, and retrieve trading metrics for Bybit through natural language commands.

A Model Context Protocol server that enables AI assistants to interact with LAMMPS for molecular dynamics simulations through natural language commands.

Enables dispatching work to DeepSeek Harness agents from Claude Code/Codex, with native progress UI, tier policy, and vision/image generation through MCP tools.

Enables Claude Code instances to discover and communicate with each other across different sessions, supporting peer-to-peer messaging and coordination.

A self-hosted WhatsApp bridge that exposes a stdio MCP server with ~20 tools for reading conversations, sending messages, managing groups, contacts, and aliases, enabling AI agents to operate WhatsApp directly.

Automatically converts JavaScript modules into MCP-compatible servers, making any JavaScript function accessible to AI systems through secure sandboxing with automatic type inference.

A MCP server that acts as an 'escape guide' for AI coding agents, providing structured thinking protocols to help agents unstuck themselves without human help.

Enables LLMs to analyze any codebase from a GitHub URL, producing deep reports with code snippets, line numbers, and prioritized suggestions. It orchestrates seven MCP tools through LangGraph to perform code review, onboarding, bug investigation, and complexity analysis.