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Hive exposes 607 callable tools. If a client loaded all of them at once, the tool list alone would crowd out the conversation. So the root endpoint stays small and routes instead.

The root endpoint is deliberately small

When your agent connects to https://mcp.hiveintelligence.xyz/mcp, it sees eight tools: five workflow primitives and three hero tools for the most common questions. The three hero tools answer directly: Everything else is reached through discovery.

Discovery, schema, execution

For anything beyond the hero tools, agents follow three steps:
1

Find the right tool

search_tools takes a plain description of the task and returns the tools that match, scoped to the relevant category.
2

Read its schema

get_api_endpoint_schema returns the exact parameters, types, and defaults, so the agent builds a valid call instead of guessing argument names.
3

Run it

invoke_api_endpoint executes the call and returns a bounded, typed response with the receipt attached.
Your agent does this on its own. You do not register tools, maintain a manifest, or update anything when Hive’s catalog changes.

Why not load everything at once

Two reasons. A 607 tool list eats context that should hold the actual problem, and it makes selection harder: the more similar tools an agent sees at once, the more often it picks the wrong one. Narrowing by task first produces better calls. If you want a middle ground, connect to a single category endpoint. Your agent then sees only that category’s tools, with no discovery step. The trade is flexibility for a shorter list.

Bounded by default

Responses respect limit, page, per_page, and offset, and Hive caps response size regardless. A query that would return thousands of rows comes back paginated rather than flooding your agent’s context.

Where the data comes from

Hive normalizes 13 upstream providers behind one interface. Your agent asks for a price; Hive decides whether that means CoinGecko, Codex, or CCXT, and tells you which one it used.

Data sources

What each provider covers.