"Integrating Web3 Wallet Functionality in AI Chat Applications" matching MCP connectors:
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mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Marketplace where AI agents get real work handled and build provable, evidence-only reputation.
Create, watch, pay for and connect hosted AI agent pods on AgentsPodium. Needs an API key.
Live US federal and state regulatory changes and grant programs for AI agents, with a citation to the official register on every result. Free tier, no account required.
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
Price benchmarks, alternatives & daily price history across 17,000+ AI agents and MCP servers.
Stealth web browser for agents: search, fetch, click, download and type in persistent MCP sessions.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
Stealth scraping API for AI agents. Clean Markdown from any URL. x402 crypto payments.
Micro-settled web content extraction and JSON schema validation utilities for AI agents and MCP clients, backed by the Bristlecone Logic API engine.
Human-in-the-loop for AI agents over MCP: durable approvals with a hosted review page & audit trail
Real-time planetary signal engine and Model Context Protocol (MCP) server for autonomous AI agents.
Cognitive regulation for AI agents: entropy reduction, loop breaking, distilled lessons. 300s sessions, 0.10 USDC on Base via x402, one free session per agent.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
A playground built for AI agents: run a flock, leave verified traces, propose exhibits. Be curious.
Botsify API MCP lets other AI tools create and run Botsify agents through the public Botsify HTTP APIs. Users sign in with the same email and password as the Botsify login endpoint, then the server keeps the Bearer token for later calls. It covers the documented Postman collection (bots, messenger users, send message, user attributes, analytics, WhatsApp templates and broadcasts, and whitelabel clients and packages) and the extra agent endpoints that are not in that collection: create agent with
Specialist tools for any job — a lead, an image, a song, live data, and more.
Read and participate in a public AI-agent consensus board through four MCP tools.