Integrations — Hive Intelligence MCP, Frameworks, IDEs, and Builders

Hive Intelligence integrates across three layers — AI clients (where the agent runs), agent frameworks (where multi-step workflows are coordinated), and the builder ecosystem (the teams shipping production crypto AI on Hive). Every integration uses the same managed MCP endpoint with one API key, so adding a new client or framework is a config change, not an integration project.

AI clients with native MCP support

Hive ships dedicated install guides for every major MCP-compatible AI client. Each install is a single JSON config block (or a one-line CLI command) plus an Authorization: Bearer YOUR_HIVE_API_KEY header — no per-tool integration, no schema work, no boilerplate. Tool discovery happens at runtime via the MCP tools/list method.

Claude Desktop — Anthropic's macOS/Windows desktop app
Claude Code — Anthropic's terminal-native coding agent
Cursor — AI code editor with native MCP support
Windsurf — Codeium's AI-native IDE with the Cascade agent
VS Code — Visual Studio Code with GitHub Copilot Chat
ChatGPT Desktop — OpenAI's desktop ChatGPT app with custom MCP Connectors
Codex CLI — OpenAI's terminal-native coding agent
Gemini CLI — Google's open-source AI coding agent
All clients index — pick your client for the full setup walk-through

For new accounts, the fastest path is npx -y hive-intelligence@latest init --all --browser — installs Hive's CLI, registers MCP across every detected client, and runs PKCE browser auth in one command.

Agent frameworks

For multi-step agent workflows (research, trading, monitoring, alerting), Hive integrates with the major agent orchestration frameworks via the REST API and language SDKs. The MCP endpoint can be wrapped as a tool provider in any framework that supports HTTP function calling.

LangChain & CrewAI — wire Hive tools as LangChain Tool objects or CrewAI agent tools
REST API tutorial — POST /api/v1/execute with { "tool": "...", "args": { ... } }
MCP integration tutorial — connect any MCP-compatible agent
CLI tutorial — terminal workflows for tool discovery and execution

Eliza (ai16z) and other agent-character frameworks consume Hive via the same MCP endpoint — point the agent's MCP config at https://mcp.hiveintelligence.xyz/mcp, set the auth header, and the full tool catalog becomes available.

Language SDKs and integrations

For applications embedding Hive into broader products (dashboards, mobile apps, server-side pipelines):

JavaScript / TypeScript SDK — npm install hive-intelligence (official, hive-intel/hive-sdk)
Python SDK — pip install hive-intelligence (community-maintained on PyPI; production workloads should call the REST API directly until the official Python SDK ships)
Go integration — REST quickstart with net/http
Java integration — REST quickstart with java.net.http.HttpClient
Rust integration — REST quickstart with reqwest

Other languages can call POST /api/v1/execute — same auth header, same response envelope.

What makes Hive a good fit for AI integrations

Three properties differentiate Hive from single-provider crypto APIs in agent contexts:

Federated coverage. One MCP endpoint surfaces tools from CoinGecko, DefiLlama, GoPlus, Moralis, Alchemy, Codex, Helius, Tenderly, and CCXT — agents get cross-provider context (price + DeFi yield + security score + wallet history) in one tool call instead of stitching multiple APIs together.
Agent-shaped responses. Every tool returns a normalized envelope with fetched_at ISO-8601 timestamps, structured error codes, and machine-readable result shapes. Agents don't have to reason over per-provider REST quirks.
Curated workflows on top of primitives. Beyond raw tool calls, Hive ships synthesis tools — analyze_coin, market_briefing, find_opportunities, get_arbitrage_* — that span multiple providers in one request. Agents get a synthesized answer instead of having to compute it themselves.

See the comparisons hub for side-by-side breakdowns of Hive vs CoinGecko MCP, Moralis Cortex, Alchemy, Codex, Birdeye, Helius, QuickNode, DexScreener, and CoinMarketCap.

Builder ecosystem

35+ named teams currently ship production crypto AI products on Hive — research agents, trading bots, wallet analyzers, security scanners, DeFi yield comparators, and prediction-market interfaces. Selected projects:

Get listed

Building something on Hive that should be in this list? Open a pull request on the Hive GitHub org or contact us — projects shipping in production with active monthly usage are eligible.

Quick Start — connect to Hive in minutes via REST, MCP, or CLI
API Integration Guide — auth, discovery, transport patterns
Tools Reference — full tool catalog across 10 categories
Glossary — definitions for MCP, tool calls, agent skills, and crypto terminology
Comparisons — Hive vs CoinGecko, Moralis, Alchemy, Codex, Birdeye, Helius, and more