Model Context Protocol (MCP): how agents call tools

What MCP is

MCP defines a common way for an AI agent to discover and call external capabilities. A server exposes a set of tools — each with a name, a typed input schema, and a structured output — and any MCP-aware agent can list those tools and invoke them without bespoke integration code. It is, in effect, a universal adapter between models and the systems they need to act on.

The problem it solves is fragmentation. Before a shared protocol, every data source or app needed its own custom connector for every agent, and agents fell back to brittle scraping when none existed. MCP replaces that N-times-M integration burden with one interface: build a server once, and any compliant client can use it.

Typed tools instead of scraping

Scraping asks a model to read a page built for humans and guess at the structure; it breaks the moment a layout changes and it carries no guarantees about types or units. An MCP tool is the opposite — it advertises exactly what arguments it accepts and what shape it returns, so the agent gets structured, validated data rather than parsed HTML.

This matters most for anything numeric. A market figure scraped from a page is a string in an unknown unit; the same figure returned by a typed tool arrives as a defined field with a known meaning. Tools also make capabilities explicit and bounded — an agent can only do what the server exposes, which is a cleaner and safer contract than turning a model loose on a website.

How MarketTrace exposes an MCP agent feed

MarketTrace publishes its read-only market data as an MCP server — an agent feed named ai.markettrace/agent-feed, hosted at api.markettrace.ai/mcp. An agent connects over OAuth, with no API keys to provision, and gets normalized cross-exchange microstructure — funding, basis, open interest, liquidations and more — in a single call rather than by stitching together four exchange APIs.

The feed is strictly read-only: it serves data and can never place a trade, move funds, or take any action on a market. That boundary is intentional. The agent gets a clean, typed view of what the market is doing across venues, and the protocol guarantees it cannot do anything except read.

Why a uniform interface helps agents

Because MCP is a shared standard, the same agent that reads the MarketTrace feed can, through other MCP servers, read a calendar or a codebase — all through one calling convention. The agent learns the protocol once and every compliant server becomes reachable, which is what makes composing tools across providers practical rather than a series of one-off integrations.

For market data specifically, that means an agent can pull normalized microstructure into whatever else it is doing — a research task, a monitoring loop, a chat answer — without a custom client for each venue. One typed call returns a consistent cross-exchange picture, which is exactly what the MarketTrace agent feed is built to provide.

Related

• Conditional outcomes (base rates)
• Funding rate
• Order flow
• Basis (perp vs spot)