Agents can now trade, bridge, deploy contracts, and query data on Injective through natural language. The new AI Developer Toolkit makes this possible by packaging Injective's core capabilities ready for use in generative AI engineering tools.
Below are more than 10 resources to get started, across agent skills, MCP servers, agent frameworks, and references.
What's in the Toolkit
The AI Developer Toolkit provides three layers of integration. Agent skills teach AI agents how to perform specific Injective operations step by step. MCP servers connect AI tools to live chain data and execution over the Model Context Protocol standard. Agent frameworks offer ready-made scaffolding for building autonomous trading systems. All of it works across generative AI engineering tools Claude Code, Codex, Cursor, Roo, among others.
Full documentation: https://docs.injective.network/developers-ai/
Skills
1/ Injective CLI Skill
Gives your agent direct access to the injectived binary for querying and transacting on-chain. Handles wallet configuration, endpoint selection, and gas management so the agent can focus on execution. Use plain English commands to interact with the Injective network!
npx skills add InjectiveLabs/agent-skills --skill injective-clihttps://github.com/InjectiveLabs/agent-skills
2/ Injective EVM Developer Skill
Extends standard EVM development workflows with Injective-specific features. Covers smart contract deployment and dApp development on Injective's multi-VM architecture.
npx skills add InjectiveLabs/agent-skills --skill injective-evm-developerhttps://github.com/InjectiveLabs/agent-skills
3/ Injective Trading Skills
Seven modular skills that can be installed independently or together: account management, autonomous signing via AuthZ delegation, cross-chain bridging through deBridge DLN and Peggy, chain analysis, real-time market data, staking, and token metadata resolution. Covers everything from portfolio monitoring to fully autonomous perpetual futures execution.
npx skills add InjectiveLabs/agent-skills \
--skill injective-trading-account \
--skill injective-trading-trading-tokens \
--skill injective-trading-autosign \
--skill injective-trading-bridge \
--skill injective-trading-chain-analysis \
--skill injective-trading-market-data \
--skill injective-trading-stakinghttps://github.com/InjectiveLabs/agent-skills
4/ Injective MCP Servers Skill
Automates the installation and configuration of Injective's MCP servers within your AI environment. Removes the manual setup so you can connect to live chain data and execution immediately.
npx skills add InjectiveLabs/agent-skills --skill injective-mcp-servershttps://github.com/InjectiveLabs/agent-skills
MCP Servers
5/ Injective MCP Server
Exposes full trading capabilities to any MCP-compatible AI client: perpetual futures, spot transfers, cross-chain bridging, and raw EVM transactions. Also supports wallet management, market data queries, limit and market orders, subaccount operations, and bridging via Peggy and deBridge.
https://github.com/InjectiveLabs/mcp-server
6/ Injective Documentation MCP Server
A hosted MCP server that provides semantic search across all of Injective's documentation. Returns ranked results with source URLs so your agent always references current guides, API specs, code examples, and network endpoints. No local install required.
Streamable HTTP MCP Endpoint: https://docs.injective.network/mcp
https://docs.injective.network/developers-ai/documentation-mcp
Agent Frameworks
7/ iAgent
A trading agent fine-tuned on Injective's trading framework and documentation. Supports real-time market analysis, predictive analytics, and automated trade execution through natural language. Can be run locally or deployed via Docker.
https://github.com/InjectiveLabs/iAgent
8/ Injective Trader
A Python execution framework built on the Injective SDK for building custom trading agents. Provides programmatic access to Injective's exchange, bridging, and account infrastructure out of the box.
https://github.com/InjectiveLabs/injective-trader
Reference
9/ llms.txt Documentation Index
A machine-readable index of Injective's entire documentation set, structured for LLM consumption. Feed this to your agent for full context on Injective's architecture, modules, APIs, and SDKs.
https://docs.injective.network/llms.txt
10/ AI Developer Toolkit Documentation
The central hub that covers all skills, MCP servers, compatible environments, and getting-started guides.
https://docs.injective.network/developers-ai/
11/ AI Developer Video Tutorials
A YouTube playlist that starts from the basics of connecting to LLM providers and MCP servers, and takes you through to vibe coding projects on MCPs.
https://www.youtube.com/watch?v=wd9WJ8uazVg&list=PLTS_stt4XpDB6JPW08QTaRKEbcxG2Z4FN&index=1
Build with Injective
Everything above is open source and ready to use today.
The future doesn’t wait. The future starts here. The future starts on Injective.
About Injective
Injective is a lightning fast interoperable layer one blockchain optimized for building premier Web3 finance applications. Injective provides developers with powerful plug-and-play modules for creating unmatched dApps. INJ is the native asset that powers Injective and its rapidly growing ecosystem. Injective is incubated by Binance and is backed by prominent investors such as Jump Crypto, Pantera and Mark Cuban.
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