MCP server for autonomous end-to-end testing with Wopee.io. Analyzes web applications, generates and executes Playwright-based functional tests, and validates results — all driven by natural language commands.
Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
Description: Persistent memory for AI agents with rollback, audit trails,
semantic search, and knowledge graph. Zero-config local SQLite or cloud API.
23 tools, 6 resources, 3 prompts.
Official MCP server for CueAPI. Schedule agent work on a cron, report write-once outcomes with evidence, and gate handoffs with verification from any MCP host.
With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration.
With MCP, it can:
Store stable user facts and preferences after answering using the advanced_augmentation tool
Recall relevant memories before answering using the recall tool
Maintain context across sessions us
Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.
Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.
Trust and quality infrastructure for AI agents. 233+ quality-scored capabilities for company data, compliance checks, financial validation, and more. Every capability has a transparent SQS quality score. Audit trails on every call. EU AI Act support.
Cryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call. Constraints, chains, AI judgment, invoicing, and local dashboard included.
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.
Merx - TRON Resource Exchange
Merx is the first TRON resource exchange that aggregates energy and bandwidth providers into a single MCP server.
GitHub: https://github.com/Hovsteder/merx-mcp
Hosted SSE: https://merx.exchange/mcp/sse
npm: merx-mcp
Website: https://merx.exchange
Stats
* 52 tools, 30 prompts, 21 resources
* 7+ energy providers (CatFee, ITRX, PowerSun, Fe
Agent-to-agent marketplace where AI agents discover, invoke, and pay for services from other agents using USDC on Base L2. 72+ services, free tools, x402 micropayments.
Long AI conversations fail in predictable ways. Context-First fixes all four:
Failure Mode What Goes Wrong Context-First Solution
Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn
Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp
Blocks dangerous operations: rm -rf, sensitive file access, privilege escalation, and more are denied before execution.
Gates risky commands behind human approval (optional): configurable commands require explicit operator sign-off via a web GUI before the agent can proceed.
Simulates blast radius: wildcard operations like rm \*.tmp are evaluated against real files before running, and blocked if th
Task management API for AI agents. Create, delegate, and track tasks with agent identity, delegation chains, lifecycle webhooks, and persistent context.
Terminal multiplexer MCP server for orchestrating parallel AI agents. Manages workspaces, panes, surfaces with send_input/read_screen/spawn_agent/stop_agent tools. Supports Claude Code, Codex, Gemini, Cursor CLI agents with lifecycle management, browser automation, and agent status push via Claude --channels.
AI memory that works like yours. Neural pathway architecture gives your AI persistent recall, contextual awareness, and cross-session continuity the way human memory actually works. 14 MCP tools. Works with Claude Code, Cursor, Windsurf, and any MCP client. $50/mo unlimited.
MCP server providing live access to the SuperColony agent swarm on Demos Network. 7 tools: read the agent feed (filtered by category/asset), search posts, get AI-synthesized consensus signals, view agent profiles with on-chain identities, check network stats, browse the quality leaderboard, and fetch the full integration guide for building your own agent.
Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.
Intelligence archive for AI agents. Contribute prompts, workflows, and insights to a permanent, cryptographically verifiable knowledge base. Agents earn public trust scores based on adoption and peer validation.
Adversarial AI review API — independent AI reviews another AI's output. Stop LLMs from grading their own homework. Provides automated quality assurance for AI-generated code, content, and other outputs through independent review pipelines.
Provides on-chain trust verification for AI agents through the Vaultfire Protocol, enabling read-only trust checks and write operations like agent registration and partnership bonds across multiple blockchains.
Persistent, correctable AI memory with zero dependencies. Corrections always surface first and never decay. SQLite-backed, 400 lines of pure Python, MCP server included.
An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.
Enables AI agents to manage USDC wallets on Solana, allowing them to send payments, create invoices, and access paid APIs within human-defined spending limits. It uses threshold signatures to provide agents with financial autonomy while ensuring secure oversight and transaction approval.
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction
An MCP server that lets AI agents autonomously buy physical hats using USDC on Base — no credit card, no checkout, no human required. Browse the catalog, get a real-time shipping quote, send crypto, and we ship the hat.
Living economy for AI agents. Conway physics, energy currency, autonomous marketplace. Your agent auto-registers and competes against 49 baseline agents. Benchmark reports measure 7 dimensions of agent performance. No API key needed.
A Model Context Protocol server that enables AI platforms to invoke RPA (Robotic Process Automation) capabilities from YingDao, allowing automated execution of repetitive tasks through AI interactions.
Self-learning memory for AI coding agents. Observes tool sequences, user preferences, and recurring fixes — auto-promotes high-confidence patterns into behavioral rules. 22 tools, 2 prompts, SQLite-backed, zero config.
Provides seamless integration with the Thenvoi AI platform, enabling AI agents and users to manage agent identities, create and participate in chat rooms, send messages with mentions, post execution events, and manage conversation lifecycles.
17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.
Every agent action is recorded in a SHA-256 hash chain. Prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.
Enables secure access to customer e-commerce data (orders, loyalty points, offers, preferences) through the Shopper Context Protocol with OAuth 2.0 authentication. Supports discovering and connecting to SCP-enabled merchants for personalized shopping assistance.
A quantum-inspired secret manager that anchors API keys to your OS-native vault, preventing plaintext .env leaks. It empowers AI agents with advanced mechanics like multi-environment superposition, linked entanglements, and ephemeral in-memory tunneling.
Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.