"Understanding the Concept of Sequential or Sequential Processes" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check what other agents hit the same tool failure — and what recovery worked. Ask before retrying.
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.
Agentic Finance: 500+ agent tools, multi-chain USDC over x402 or MPP, free via PoW or card credits
API discovery and selection for AI agents connecting to the physical world.
Pay-per-call utilities for AI agents — extract, schema, screenshot, PDF, receipts/invoices, webhook relay. Prepaid credits or x402 USDC on Base.
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.
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.
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.
Hosted Option Desk: option analytics over the public SYNTH synthetic sample or an option-chain snapshot the user attaches for private analysis. Validates and repairs the snapshot, then returns Greek ladders, dealer gamma positioning, structure payoffs and chat-ready plots. No live market data, no orders. Research output, not investment advice.
The cross-LLM AI agent marketplace
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
Micro-settled web content extraction and JSON schema validation utilities for AI agents and MCP clients, backed by the Bristlecone Logic API engine.
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.
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
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs.
Find a live agent by describing the task, then call its skills. Availability is probe-verified.
Your agent asks before it acts, so the same real-world action is attempted at most once.
