"A guide to interface components in UI design" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Unified financial infrastructure and execution middleware connecting AI agents directly to live brokerage accounts, Web3 non-custodial wallets, real-time market data across equities, ETFs, crypto, forex, options, DeFi swaps, and prediction markets, institutional research feeds, and algorithmic strategy backtesters.
Give your agent access to external APIs without building and maintaining a separate integration for every provider. QVeris discovers and calls the best-matching capability at runtime through one MCP connection, with cost and reliability signals, structured results, and auditable charges.
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Stealth web browser for agents: search, fetch, click, download and type in persistent MCP sessions.
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.
Agent-design pattern guidance via 5 hosted read-only tools; Streamable HTTP, no auth, one Release.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
AgentBroker is a remote MCP server for discovering and inspecting a canonical catalog of API and agent services. It exposes structured service metadata, input/output schemas, provider information, and current pricing through MCP tools such as search_services and get_service.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Human-in-the-loop for AI agents over MCP: durable approvals with a hosted review page & audit trail
Find a verified executable provider for a task, with callable handoff and fallback.
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.
MCP server for agent-run URL A/B testing. Create projects, allowlist domains, launch URL experiments, track conversions, and retrieve performance reports for customer-owned sites.
Design, save, and run outcome-aligned AI workflows and verifiers, with reliable image output.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
