bluenexus.ai Get API Key
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AI-Assisted Integration

Use your AI coding assistant to build BlueNexus integrations. Load the skills file and let the LLM handle the details.

Load the BlueNexus skill

Paste this into Claude Code, Cursor, or any AI editor:

Load BlueNexus skills from https://docs.bluenexus.ai/bluenexus-skills.md and save as a skill.
View raw file

Editor-Specific Setup

# Option 1: Reference in your prompt
Fetch https://docs.bluenexus.ai/bluenexus-skills.md and use it as context.

# Option 2: Add to your project's CLAUDE.md
## BlueNexus Integration
See https://docs.bluenexus.ai/bluenexus-skills.md for the full API reference.
# Add to your .cursorrules file
When working on BlueNexus integration, reference
https://docs.bluenexus.ai/bluenexus-skills.md for the API
specification, authentication patterns, and framework-specific
code examples.
# Point Windsurf at the skills URL
https://docs.bluenexus.ai/bluenexus-skills.md
curl -o BLUENEXUS.md https://docs.bluenexus.ai/bluenexus-skills.md

Common Prompts

Once your LLM has the BlueNexus context, try these:

Getting set up

"Set up BlueNexus MCP integration in my project using LangChain"

"Add the BlueNexus MCP server to my Claude Desktop config"

"Create a Personal Access Token setup flow for BlueNexus"

"Implement the BlueNexus OAuth 2.1 flow with PKCE for my Next.js app"

Building integrations

"Build a function that lists my user's connected services via BlueNexus"

"Create an agent that reads my Google Calendar and posts a summary to Slack"

"Set up multi-tenant BlueNexus integration where each user connects their own services"

"Add proper error handling for BlueNexus MCP calls including 402 credit exhaustion"

Working with the API

"Use the BlueNexus Chat Completions API with streaming"

"Build a connection management page that lets users connect and disconnect services"

What's in the Skills File

  • MCP endpoint — URL, authentication, request/response formats for both tools
  • Authentication — Personal Access Tokens and full OAuth 2.1 flow with PKCE
  • Framework examples — LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, raw MCP SDK
  • Complete REST API — All endpoints with request/response JSON
  • Error handling — Every status code, error type, and retry pattern
  • Rate limits and credits — Limits per endpoint, billing details