Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@NexusBridge MCP Server List all available services and my current balance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol server that gives AI agents access to 200+ AI models and 10 service categories through a unified, metered API. One API key, one integration, transparent per-call pricing.
API Base: https://syntss.com
Smithery: smithery.ai/servers/guhank/nexusbridge-mcp-server
GitHub: github.com/guhank/nexusbridge-mcp-server
Tool | Description |
| Retrieve the full service catalog with slugs, descriptions, per-call prices, and your current credit balance. Call this first to discover available services. |
| Execute any NexusBridge service by its slug. Pass service-specific parameters. Credits are deducted automatically. Returns the upstream provider's response. |
| Check your current credit balance (USD) and the number of active services available. Use before expensive operations to verify sufficient funds. |
Returns every available service with its slug, name, category, description, and per-call price in USD. Also returns your current credit balance.
Parameters: None
Example response:
{
"services": [
{ "slug": "llm-chat", "name": "LLM Chat", "category": "ai", "pricePerCall": 0.005 },
{ "slug": "web-search", "name": "Web Search", "category": "search", "pricePerCall": 0.01 }
],
"creditBalance": 24.50
}Execute a service by passing its slug and service-specific parameters.
Parameters:
Parameter | Type | Required | Description |
| string | Yes | Service slug from the catalog (e.g., |
| object | No | Service-specific parameters (see examples below) |
Examples:
// LLM Chat — use any of 200+ models
{ "slug": "llm-chat", "params": { "messages": [{"role": "user", "content": "Explain quantum computing"}], "model": "deepseek/deepseek-chat-v3-0324" } }
// Sentiment Analysis
{ "slug": "sentiment", "params": { "text": "I love this product! Best purchase I've ever made." } }
// Web Search
{ "slug": "web-search", "params": { "query": "latest AI news March 2026" } }
// Text Summarization
{ "slug": "summarize", "params": { "text": "Long article text here..." } }
// Translation
{ "slug": "translation", "params": { "text": "Hello world", "to": "es" } }
// Code Generation
{ "slug": "llm-code", "params": { "prompt": "Write a Python function to calculate fibonacci numbers" } }
// Image Generation
{ "slug": "image-gen", "params": { "prompt": "A serene mountain landscape at sunset" } }
// Text Embedding
{ "slug": "text-embedding", "params": { "text": "semantic search query" } }Example response:
{
"success": true,
"service": "llm-chat",
"charged": 0.005,
"remainingBalance": 24.495,
"result": {
"choices": [{ "message": { "content": "Quantum computing uses..." } }]
}
}Returns your credit balance and the count of active services.
Parameters: None
Example response:
{
"creditBalance": 24.50,
"serviceCount": 10
}Related MCP server: Adorbis AI MCP Server
Service | Slug | Price/Call | Description |
LLM Chat |
| $0.005 | Chat completions with GPT-4o, Claude, Gemini, DeepSeek, Llama, and 200+ models via OpenRouter |
Code Generation |
| $0.008 | Code generation, refactoring, and completion optimized for development tasks |
Image Generation |
| $0.05 | Create images from text prompts using DALL-E, SDXL, and Flux models |
Text Embedding |
| $0.001 | Vector embeddings for RAG pipelines, semantic search, and clustering |
Web Search |
| $0.01 | Structured web search results with titles, URLs, and snippets |
Document Parser |
| $0.02 | Extract text and structured data from PDFs, images, and documents |
Sentiment Analysis |
| $0.003 | Classify text sentiment (positive/negative/neutral) with confidence scores and emotion detection |
Translation |
| $0.005 | Neural machine translation across 100+ languages |
Summarization |
| $0.008 | Configurable-length text summaries from long documents |
Code Execution |
| $0.015 | Run code in sandboxed Python, Node.js, and Go environments |
Install directly from Smithery with one click. Configure your NexusBridge API key when prompted.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"nexusbridge": {
"command": "npx",
"args": ["-y", "nexusbridge-mcp-server", "--stdio"],
"env": {
"NEXUSBRIDGE_API_KEY": "nb_sk_your_key_here"
}
}
}
}Use the same configuration pattern — set NEXUSBRIDGE_API_KEY as an environment variable and run via npx -y nexusbridge-mcp-server --stdio.
docker build -t nexusbridge-mcp .
docker run -p 8000:8000 \
-e NEXUSBRIDGE_API_KEY=nb_sk_your_key \
nexusbridge-mcpgit clone https://github.com/guhank/nexusbridge-mcp-server.git
cd nexusbridge-mcp-server
npm install
NEXUSBRIDGE_API_KEY=nb_sk_your_key npm startGet an API key — Purchase credits at syntss.com. Credits start at $10. You'll receive an nb_sk_... API key.
Install the MCP server — Use Smithery, Claude Desktop config, or run manually (see Installation above).
Discover services — Your AI agent calls nexusbridge_catalog to see all available services, pricing, and your credit balance.
Execute services — Call nexusbridge_execute with the service slug and parameters. Credits are deducted per call.
Monitor spending — Call nexusbridge_balance to check remaining credits at any time.
Agent → nexusbridge_catalog → "I see 10 services, balance is $24.50"
Agent → nexusbridge_execute(llm-chat) → "Got response from DeepSeek, charged $0.005"
Agent → nexusbridge_execute(sentiment)→ "Text is positive (0.94 confidence), charged $0.003"
Agent → nexusbridge_balance → "Balance is $24.492"Variable | Required | Default | Description |
| Yes | — | Your NexusBridge API key (starts with |
| No |
| Base URL of the NexusBridge API |
| No |
| HTTP port for Smithery/hosted mode |
Mode | Flag | Use Case |
HTTP | (default) | Smithery hosted deployment, remote MCP clients |
stdio |
| Claude Desktop, Cursor, local MCP clients |
Tier | Credits | Approx. LLM Calls |
Starter | $10 | ~2,000 |
Builder | $25 | ~5,000 |
Pro | $50 | ~10,000 |
Scale | $100 | ~20,000 |
Purchase at syntss.com or via Stripe. Credits never expire.
MIT
This server cannot be deployed
AI service marketplace — agents discover, call, and pay for API services automatically.
Verified, pay-per-use API tools for AI agents through one authenticated connection.
Stripe-native marketplace where AI agents discover and pay per call for API services.
run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.
