# MissionSquad.ai — Stop prompting. Start delegating. > Mission Squad is an Agentic AI Platform that allows you to build, manage, and deploy cooperative agents that connect to any model, leverage private data, use MCP tools, and automate complex tasks. MCP-native · Model-agnostic · Runs on your stack Most AI tools are strangers. Mission Squad is the agent that knows your stack — your Asana boards, your Drive folders, your Gmail, your Notion, your private data — and does the work you'd otherwise be doing at midnight. Also said as: "From plain-English request to production squad." · "Delegate the work you keep re-explaining." · "Your Tuesday, handled before you sit down." · "Run a squad, not a chatbot." ## I. Become the operator your team can't replace. The work that buried your Tuesday now runs on a schedule, with a full trace, while you do the work only you can do. This isn't a chatbot. It's a way of operating. What you start doing: - Assigning real work to a squad of agents that know your data and your tools - Watching workflows run on a schedule with full traces — not hoping they worked - Editing prompts and swapping models in seconds, with no rewrites - Deploying inside your own VPC or on-prem, with keys and secrets you control What you stop tolerating: - Vendor lock-in dressed up as "platform" with hostage SDKs - Hallucinations from agents that can't read your private data - Glue code stitching brittle scripts to half-working integrations - Privacy theater where "your data" means "their training set" ## II. Describe the squad. It builds it. You don't assemble agents by hand. You tell the configuration agent what you want, and it builds the whole thing for you. Ask for *"a factory that searches YouTube for a topic, pulls transcripts for the top five videos, and writes one holistic summary,"* and it doesn't just start typing. It checks what you already have, then proposes a plan: each agent, the model it runs on, the tools it needs, and how they hand off to each other. You approve the plan. It writes the prompts, creates the agents, and wires up the factory. Changed your mind? Tell it — *"use GPT 5.4 mini instead of Sonnet"* — and it reconfigures in place. No rebuild. No config files. No clicking through twelve forms. [Get started in the docs →](https://docs.missionsquad.ai/platform/getting-started) - **It reads your stack first.** Before it proposes anything, it lists your connected MCP servers and the tools they expose — so the plan fits what you have. - **It proposes before it builds.** You see the agents, models, and hand-offs as a plan you approve — not a black box that silently spins up infrastructure. - **It edits by conversation.** Swap a model, rewire a step, rename an agent. The squad changes as fast as you can describe the change. ## III. It already speaks to the tools you live in. Connect a server, authorize, and your squad can read and act in the systems you already use — Google Workspace, Gmail, Notion, Asana, Dropbox, Shopify, and dozens more. Need something we don't have yet? Drop in your own OAuth compatible MCP server and it shows up alongside the rest. [Read the MCP guide →](https://docs.missionsquad.ai/platform/mcp) Connectors: - Google Workspace — Docs, Drive, Gmail, and Calendar. (Productivity) - Notion — Pages, databases, and blocks. (Docs) - Asana — Projects and tasks. (Project mgmt) - Dropbox — Files and sharing. (Storage) - Cloudflare — Workers, DNS, and APIs. (Infra) - Shopify — Stores, products, and orders. (Commerce) - Monday.com — Boards and items. (Project mgmt) - Calendly — Events and scheduling. (Scheduling) - Klaviyo — Email and SMS campaigns. (Marketing) - Amplitude — Product analytics and cohorts. (Analytics) - Supabase — Postgres, auth, and storage. (Database) - Make.com — Multi-step automation scenarios. (Automation) - CoinGecko — Crypto prices and markets. (Markets) - Beehiiv — Newsletters and subscribers. (Newsletter) - Cloudinary — Media storage and transforms. (Media) - DeepWiki — Repository docs and Q&A. (Docs) - Context7 — Up-to-date library docs. (Docs) - Neon — Serverless Postgres. (Database) - Bring your own MCP server — Drop in any MCP server and it shows up alongside the rest. (Drop-in) All connections · OAuth 2.1 · DCR · PKCE · audited permission scopes ## IV. Bring your own brains. Run it on your own metal. Mission Squad isn't married to one model vendor. Point an agent at OpenAI, Anthropic, Google, Cohere, Grok, Mistral — or run open models on hardware you own. Swap the model behind any agent in seconds, with no rewrite and no SDK to rip out. And it runs where you do. Deploy in your own VPC or on-prem so your keys, your data, and your traffic never leave your control. "Your data" means your data — not a polite word for someone's training set. [See the self-hosting guide →](https://docs.missionsquad.ai/hosting/) Providers: OpenAI · Anthropic · Google Gemini · Grok · Groq · Mistral · Cohere · Microsoft Copilot · OpenRouter · ElevenLabs · Self-hosted & open models ## V. Fan out, or chain it. Mission Squad gives you two ways to compose agents. A *workflow* fans out across agents working in parallel; a *factory* chains steps in sequence. Many systems use both. [Workflows →](https://docs.missionsquad.ai/platform/workflows) · [Factories →](https://docs.missionsquad.ai/platform/factories) - **Workflow (fan-out):** Several agents take on the same request in parallel. Each works independently, then every response is fed back into one main agent that reads them all and produces a single answer. - **Factory (chain):** Steps run in sequence. Each step's output becomes the next step's input — and any step can be a single agent or an entire workflow nested inside. ## VI. Watch the work, not a status bar. Most platforms show you a polished demo. We'll show you a real run — every agent that fired, every tool it called, the exact arguments it passed, and the data that came back. Here's a financial-analysis workflow: a single request fans out to nine specialist agents — fundamentals, sentiment, macro, and six technical analysts — each pulling its own data and writing its own section, before a lead agent stitches them into one report. Open any sub-agent and you can read the tool calls underneath: `fundamentalData_companyOverview`, the income statement, the balance sheet, the cash flow — and the JSON each one returned. Every step is counted. When a run does something you didn't expect, you don't guess — you open the trace and read exactly what happened. ## VII. The Mission Squad promise Your agents will run when you need them. And when they don't, you will know why. - **What we keep:** Reliability · Observability · Your data, your keys - **What we don't claim:** Magic · The cheapest · Infallibility - **How to test it:** Run a workflow. Read the trace. Decide. ## VIII. Pick the one that fits where you are today. ### Get the field briefing. A weekly note from the Mission Squad lab: workflows we built, what broke, what we learned, what we'd do differently. No pitch. No sales follow-up. Unsubscribe in one click. ### Deploy your first squad. Free to start. No credit card. Connect one tool, describe one agent, and read the trace yourself. If you're not up and running in an afternoon, we got it wrong and want to hear about it. (Cloud or on-prem · OAuth 2.1 · MCP-native) Start building: https://missionsquad.ai/register · Contact: https://missionsquad.ai/contact --- # MissionSquad.ai — Frequently Asked Questions > Answers to common questions about Mission Squad — the agentic AI platform for building, managing, and deploying cooperative AI agents. ## What is Mission Squad? Mission Squad is an agentic AI platform for building, managing, and deploying cooperative AI agents. Agents connect to any major model provider, work with your private data, use tools through the Model Context Protocol (MCP), and automate complex multi-step tasks — with a full trace of every run. It is a way of operating, not a chatbot: the work you keep re-explaining runs on a schedule while you do the work only you can do. ## How do I build agents — do I need to write code? No code required. You describe what you want to Mission Squad's configuration agent and it builds the whole thing for you: it first reads your stack (your connected MCP servers and the tools they expose), proposes a plan — each agent, the model it runs on, the tools it needs, and how they hand off to each other — and once you approve, it writes the prompts, creates the agents, and wires up the workflow or factory. Changed your mind? Tell it in plain English and it reconfigures in place. See the [getting started guide](https://docs.missionsquad.ai/platform/getting-started). ## Which AI model providers does Mission Squad support? Mission Squad is model-agnostic. Point an agent at OpenAI, Anthropic, Google Gemini, Grok, Groq, Mistral, Cohere, Microsoft Copilot, OpenRouter, or ElevenLabs — or run self-hosted and open models on hardware you own. You can swap the model behind any agent in seconds, with no rewrite and no SDK to rip out. ## What is MCP and which tools can agents use? MCP (Model Context Protocol) is the open standard Mission Squad uses to give agents tools. Connect a server, authorize it, and your squad can read and act in the systems you already use — Google Workspace, Gmail, Notion, Asana, Dropbox, Cloudflare, Shopify, Monday.com, Calendly, Klaviyo, Amplitude, Supabase, Make.com, CoinGecko, Beehiiv, Cloudinary, DeepWiki, Context7, Neon, and more. Connections use OAuth 2.1 with DCR, PKCE, and audited permission scopes. Read the [MCP guide](https://docs.missionsquad.ai/platform/mcp). ## Can I bring my own MCP server? Yes. Drop in any OAuth-compatible MCP server and it shows up alongside the built-in connectors — your agents can use its tools the same way they use everything else. Details are in the [MCP documentation](https://docs.missionsquad.ai/platform/mcp). ## What are workflows and factories? They are Mission Squad's two composition patterns. A *workflow* fans out: several agents take on the same request in parallel, and every response feeds back into one main agent that produces a single answer. A *factory* chains: steps run in sequence, each step's output becoming the next step's input — and any step can be a single agent or an entire workflow nested inside. Many systems use both. See [workflows](https://docs.missionsquad.ai/platform/workflows) and [factories](https://docs.missionsquad.ai/platform/factories) in the docs. ## Can agents use my private data? Yes. Mission Squad supports retrieval-augmented generation (RAG): create vector stores, upload your files, and configure agents to retrieve relevant context from them during a run. Agents grounded in your private data answer from your documents instead of hallucinating around them. ## Can I self-host Mission Squad on-premises or in my own VPC? Yes. Deploy Mission Squad in your own VPC or on-prem so your keys, your data, and your traffic never leave your control. "Your data" means your data — not a polite word for someone's training set. See the [self-hosting guide](https://docs.missionsquad.ai/hosting/). ## How do I see what my agents actually did? Every run keeps a full trace: every agent that fired, every tool it called, the exact arguments it passed, the data that came back, and per-step token accounting — kept in run history alongside every prior run. When a run does something you didn't expect, you don't guess — you open the trace and read exactly what happened. ## How much does Mission Squad cost to start? Mission Squad is free to start — no credit card and no sales call required. Connect one tool, describe one agent, and read the trace yourself. [Create an account](/register) to get going. ## Can agents run on a schedule? Yes. Workflows and agents can run on schedules, so recurring work happens before you sit down — with the full trace waiting for you, not a status bar. You will know when your agents ran, and when they don't, you will know why. ## How do I get started? [Register for free](/register), connect a tool, and describe your first agent to the configuration agent. If you're not up and running in an afternoon, we got it wrong and want to hear about it — [tell us](/contact). The [documentation](https://docs.missionsquad.ai) covers everything in depth. --- ## Live pages - [Live pages sitemap](https://missionsquad.ai/p/sitemap.xml): machine-readable index of live agent-published pages; each page also serves a markdown mirror at https://missionsquad.ai/p/.md