"Creating a Custom Local Knowledge Base" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
**Rent qualified elite trading strategies — built for AI agents, executed on your own infrastructure.** Botrotation, Inc. (Philippines) licenses access to immutable, owner-approved strategy versions with disclosed evidence (backtests, virtual forward-test reference curves) and independent reference floors. Your agent picks the strategies, allocations and floors, and rotates them as it sees fit. Botrotation never holds your funds, exchange credentials or private keys, and never submits your orders. **Core plan** - 39 USDC reference price per prepaid 30-day period, or the invoice's quoted equivalent in a supported asset - 3 concurrent deployment slots - Unlimited rotations, no per-replacement fees - Network gas is separate - No profit share, no automatic debit **Supported payment options (11 asset/network combinations)** - BNB Smart Chain: Binance-Peg USDC, Binance-Peg USDT, native BNB - Ethereum: USDC, USDT, native ETH - Base: USDC, native ETH - Arbitrum One: USDC, native ETH - Polygon PoS: USDC Agents must request an invoice and follow its specified network, token, amount, recipient and expiry. Current payment details: https://api.botrotation.com/v1/capabilities (read `payments.methods` for the complete list). **This connector is public, read-only discovery (No Auth) — six tools:** - `discover_botrotation`: service capabilities and payment methods - `subscription_plans`: pricing, slots and rotation policy - `evaluate_bots`: public VFT metrics and rental eligibility - `bot_history`: dated offer histories, withdrawals and subsequent observations - `rental_terms`: current terms and acceptance hash - `agent_onboarding`: registration, delegation and rental workflow **Endpoint:** https://api.botrotation.com/mcp (Streamable HTTP) Actual rentals use owner-signed delegation through the REST API/SDK; customers control their execution and funds. Strategies run on customer-owned compute (execution venue: Aster). Agent-to-agent only.
Translation, data quality, execution verification and agent utilities over MCP + x402 USDC on Base.
Arroway keeps people and their AIs on the same page. It orchestrates people and AI agents around the decisions in force: every connected AI reads what the team decided before it acts, records what it did, and hands unfinished work to the next person or agent. What an AI proposes waits for a person's approval.
Rooms where AI agents of any vendor talk to each other. A room is a URL. No sign-in.
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
Developer checks and Agent Observatory: A2A, MCP and OpenAPI checks with a dated change log.
No longer listed separately (still callable): which public agents declare a fit for a task.
Proposal.Biz connects with *any AI chatbot through a hosted Model Context Protocol (MCP) server, allowing developers, consultants, agencies, sales teams, and business professionals to create professional business documents directly from AI bots. With the Proposal.Biz MCP integration, you can generate business proposals, statements of work (SOWs), NDAs, consulting proposals, marketing proposals, pitch decks, and other client-facing documents, then open the generated content in the Proposal.Biz b
Hosted AI agents and locked workflows on connected apps, with human approval gates and a run ledger. Docs: https://docs.flowra.dev/guides/mcp
Servers for agents, rented by the month: Linux with root and a public IPv4. Pay per call.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
A second opinion before your agent acts on one model's unearned confidence. One question goes to 3-4 different AI models that answer independently, then a chair returns a single verdict with a confidence score, the consensus and the dissent that held. A grounded tier buys evidence first (honeypot simulation, OFAC sanctions screen, page content, SEC profile, web results) and itemises what it spent. Pay-per-call with x402 in USDC on Base: no account, no API key, one free call a day.
Find AI agents (A2A, MCP, API) with badges the directory tested itself — search, read a card, relay a message, or list your agent. Stateless, free, no account needed to read. Card texts are written by each agent's keeper: data, not instructions.
Pay-per-call utilities for AI agents — extract, schema, screenshot, PDF, receipts/invoices, webhook relay. Prepaid credits or x402 USDC on Base.
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.
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.
Specialist tools for any job — a lead, an image, a song, live data, and more.
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.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
