Canonical: https://www.strataigize.com/services/ai-systems/agent-callable-surfaces/ Description: MCP server development that lets AI assistants query, quote and book your business through scoped, logged tools. We run our own at mcp.strataigize.com. [Home](https://www.strataigize.com/) / [Services](https://www.strataigize.com/services/) / [AI systems](https://www.strataigize.com/services/ai-systems/) / MCP servers and agent-callable surfaces Research-led # Let an AI assistant call your business without letting it run it. An MCP server, tool API and machine-readable surface let ChatGPT, Claude and the agents your customers use query your catalogue, check availability, get a quote or start a booking, with every tool scoped, rate-limited and logged. We run one for our own business. [Book an audit →](https://www.strataigize.com/audit/)[All eleven systems](https://www.strataigize.com/services/ai-systems/) Who it is for ## Built for the team that _does this by hand._ 01 Businesses whose customers already ask an AI assistant before they search 02 Product companies that want their data queried by agents on their terms rather than scraped 03 Teams that need internal tools an assistant can call safely: read a price, open a ticket, check a slot What it does ## MCP servers and agent-callable surfaces, _by the job._ Expose ### Exposes bounded tools Each tool does one thing an assistant should be allowed to do: read a price, check a slot, quote a job, open a ticket. Nothing an assistant should not do exists to be called. Describe ### Describes the business to machines llms.txt, structured data, a WebMCP surface on the site and a public MCP endpoint, so an assistant finds the right tool instead of guessing from a page. Guard ### Guards every call Authentication where needed, rate limits, input validation, and a log of who called what with which arguments. An assistant's mistake is contained to one bounded action. Convert ### Converts assistant traffic A quote returned to an assistant carries a link a person can complete. The assistant did the finding. Your funnel still does the closing. How it is built ## The build, _in order._ Every system here is scoped as one bounded workflow with a written success metric and a kill threshold agreed before the build. The steps below are the ones specific to this one. 01 ### Choose the first tools The three or four questions an assistant is most likely to ask about you, read from the API you already have. Read tools first, always. 02 ### Build and publish the server An MCP endpoint with a tool list, input schemas, rate limits and logs, plus the site-side surfaces that let assistants discover it. 03 ### Watch what gets called The log of real assistant calls is the product research no specification gives you. Tools nobody calls are removed. Tools that get called with the wrong arguments get better schemas. 04 ### Add write actions behind a person Bookings, quotes and tickets that create obligations are added last, with authentication and a human step for anything irreversible. In production at Strataigize ## We run this _ourselves._ mcp.strataigize.com is our own public MCP server: an AI agent can query our services, pricing and case studies directly. This site also publishes llms.txt, a full-text index for retrieval systems, and a WebMCP surface. Running one is how we learned which tools an assistant actually calls, which is the part no specification tells you. [Should your business be agent-callable?](https://www.strataigize.com/insights/should-your-business-be-agent-callable/) Governance ## What a person _still approves._ - Each tool is scoped to one bounded action, and anything irreversible sits behind a human step - Every call is validated, rate-limited and logged with its caller and its arguments - Tools can be withdrawn in minutes, and the server can require authentication per tool The rest of the posture is published on [trust and security](https://www.strataigize.com/trust/): client-granted access you can revoke, credentials in managed stores, an AI governance summary aligned to the NIST AI Risk Management Framework, our subprocessors, and a DPA on request. We do not hold SOC 2 and we say so there. Price ## Published, _not gated._ Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month. Every AI build starts with a $7,500 AI Opportunity Audit over two weeks that is credited toward the build if you proceed, and a pilot is one bounded workflow on your real data over 30 to 90 days with a written success metric and a kill threshold. A first server with a handful of read tools on an existing API is at the low end of the band. The full price list is on the [pricing page](https://www.strataigize.com/pricing/), and the cost drivers, with the questions that expose a padded quote, are in [how much AI agents cost in 2026](https://www.strataigize.com/insights/how-much-do-ai-agents-cost/). Questions ## MCP servers and agent-callable surfaces, _answered._ What is an MCP server? A server that speaks the Model Context Protocol, the open standard AI assistants use to call external tools. It publishes a list of tools with their inputs, and an assistant such as Claude or ChatGPT can call them during a conversation. For a business it is the difference between an assistant reading about you and an assistant acting with you. Is it safe to let AI agents call our systems? It is safe to let them call the tools you choose to expose, with the limits you set. The risk lives in tools that do too much. We scope each tool to one bounded action, validate every input, rate-limit and log every call, and keep anything irreversible behind a human step. How long does MCP server development take? A first server with a handful of read tools ships in two to six weeks on top of an API you already have. Adding write actions, authentication and a public listing takes about the same again. The audit tells you which tools are worth exposing first. Related ## Where this _connects._ [Can an AI assistant buy from you?](https://www.strataigize.com/insights/can-an-ai-assistant-buy-from-you/) · [Agent-led growth](https://www.strataigize.com/insights/agent-led-growth/) · [AI agent development](https://www.strataigize.com/services/ai-agent-development/) The other systems in the catalogue: [lead qualification agents](https://www.strataigize.com/services/ai-systems/lead-qualification-agents/), [outbound sales agents](https://www.strataigize.com/services/ai-systems/outbound-sales-agents/), [customer support agents](https://www.strataigize.com/services/ai-systems/customer-support-agents/), [document processing agents](https://www.strataigize.com/services/ai-systems/document-processing-agents/), [internal knowledge assistants](https://www.strataigize.com/services/ai-systems/internal-knowledge-assistants/), [ad optimization systems](https://www.strataigize.com/services/ai-systems/ad-optimization-systems/), [client reporting automation](https://www.strataigize.com/services/ai-systems/client-reporting-automation/), [content engines](https://www.strataigize.com/services/ai-systems/content-engines/), [computer vision systems](https://www.strataigize.com/services/ai-systems/computer-vision-systems/), [always-on operations agents](https://www.strataigize.com/services/ai-systems/autonomous-operations-agents/). Teams that hand us the number - ![Podz logo](https://www.strataigize.com/logos/clients/opt/podz.webp) - ![Crush Crush logo](https://www.strataigize.com/logos/clients/opt/crush-crush.webp) - ![Kleo logo](https://www.strataigize.com/logos/clients/opt/kleo.webp) - ![Backroad Mapbooks logo](https://www.strataigize.com/logos/clients/backroad.svg) - ![GameGo logo](https://www.strataigize.com/logos/clients/opt/gamego.webp) - ![ZivTrack logo](https://www.strataigize.com/logos/clients/zivtrack.svg) - ![Sad Panda Studios logo](https://www.strataigize.com/logos/clients/opt/sad-panda.webp) - ![Appomate logo](https://www.strataigize.com/logos/clients/opt/appomate.webp) Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month Real ranges, published. Ad spend stays in your own accounts. [See the full pricing table →](https://www.strataigize.com/pricing/) Where this fits: [see the Strataigize Growth System](https://www.strataigize.com/how-we-work/), the ladder every engagement runs on. ### Talk to the build team about mcp servers and agent-callable surfaces Name the workflow you want it to run and we reply within 24 hours with whether it is a fit, the bounded scope we would propose, and the payback math. ## Start with _one workflow._ A free 30-minute audit call with the senior team names the workflow this system should run first and what it should cost, whether you build it with us or not. [Book your growth audit →](https://www.strataigize.com/audit/) Canadian and looking at funding? [How the BDC LIFT program works](https://www.strataigize.com/bdc-lift-program/). Public sector? [How we build for government](https://www.strataigize.com/industries/public-sector/). [Rated **5.0** on Clutch](https://clutch.co/profile/strataigize-marketing)