Which integrations are available for this server?

Provides capabilities to ingest event data via MQTT and forward data streams to MQTT brokers for real-time messaging and IoT integration.

How do I use Conduit MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Conduit MCP Show me the schema for the 'user-activity' stream" 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.

Conduit MCP

by useconduit

Overview Schema Related Servers Score Discussions

JavaScript

Remote

@useconduit/mcp

MCP server for Conduit — connect any AI agent to your data streams.

📖 API Docs · 🌐 Website · 📦 npm · 💻 GitHub

Quick Start

Get an API key from platform.usecondu.it/tokens, then add to your AI editor config:

Claude Code / Claude Desktop

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "conduit": {
      "command": "npx",
      "args": ["-y", "@useconduit/mcp"],
      "env": {
        "CONDUIT_API_KEY": "conduit_sk_..."
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "conduit": {
      "command": "npx",
      "args": ["-y", "@useconduit/mcp"],
      "env": {
        "CONDUIT_API_KEY": "conduit_sk_..."
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "conduit": {
      "command": "npx",
      "args": ["-y", "@useconduit/mcp"],
      "env": {
        "CONDUIT_API_KEY": "conduit_sk_..."
      }
    }
  }
}

Environment Variables

Variable	Required	Default	Description
`CONDUIT_API_KEY`	✅	—	Your Conduit API key
`CONDUIT_API_URL`	—	`https://api.usecondu.it`	Custom API endpoint

Tools

Tool	Description
`conduit_list_streams`	List all data streams
`conduit_get_schema`	Get schema for a stream (columns, types, codecs)
`conduit_create_stream`	Create a new stream
`conduit_ingest`	Send events to a stream
`conduit_list_events`	Query events with pagination & time range filters
`conduit_add_forward`	Add a forwarding destination (HTTP, MQTT, or WebSocket) with auth options
`conduit_stream_stats`	Get ingestion statistics (event count, rate, latency)
`conduit_analyze_schema`	Analyze a JSON payload for optimal schema
`conduit_feedback`	Submit feedback to the Conduit team
`conduit_backfill`	Replay historical events to forwarding destinations
`conduit_backfill_status`	Check backfill job progress or list all jobs
`conduit_time_range`	Get earliest/latest event timestamps for a stream

Resources

URI	Description
`conduit://streams`	All streams
`conduit://streams/{name}`	Stream details + schema
`conduit://stats`	Platform-wide statistics

API Documentation

Full interactive API docs are available at api.usecondu.it/docs (powered by Scalar).

Key endpoints:

Method	Endpoint	Description
`POST`	`/v1/{tenant}/{stream}`	Ingest events (any protocol: HTTP, WebSocket, MQTT)
`GET`	`/api/v1/streams`	List streams
`GET`	`/api/v1/streams/{name}`	Stream details + schema
`GET`	`/api/v1/streams/{name}/events?from=&to=&limit=`	Query events with time range
`GET`	`/api/v1/streams/{name}/stats`	Ingestion statistics
`GET`	`/api/v1/streams/{name}/schema-history`	Schema evolution history
`POST`	`/api/v1/streams/{name}/forwards`	Add forwarding destination
`POST`	`/api/v1/streams/{name}/backfill`	Start backfill job
`GET`	`/api/v1/streams/{name}/backfill`	List backfill jobs
`GET`	`/api/v1/streams/{name}/time-range`	Event time range
`POST`	`/api/v1/tokens`	Create API token
`GET`	`/api/v1/account`	Account info + usage

Machine-readable API specs:

OpenAPI 3.1: api.usecondu.it/openapi.json
LLM-friendly: api.usecondu.it/llms.txt
LLM full spec: api.usecondu.it/llms-full.txt

What is Conduit?

Conduit is the lightweight data layer between your services. Send any JSON — schemas aren't defined, they emerge. And they evolve as your sources do.

One endpoint, any protocol — HTTP, WebSocket, MQTT/S on the same path
AI-powered schema detection — zero configuration, runs locally (your data never leaves)
Real-time forwarding — HTTP webhooks, MQTT brokers, WebSocket endpoints with full auth options
Backfill — replay historical events to new destinations
Built for agents — MCP-native from day one, feedback loop included
European infrastructure 🇪🇺 — all data hosted and processed in the EU, GDPR-compliant by design

How agents use Conduit

Agent: "I see live sensor data flowing in. I'll pipe it to our datawarehouse and add hot storage."

▸ conduit_list_events(stream: "sensors", limit: 1000)
  ↳ 1,000 events · 18.4 MB raw → 1.1 MB stored (94% compressed)

▸ conduit_add_forward(stream: "sensors", type: "http", url: "https://dwh.acme.io/ingest")
  ↳ Destination added · forwarding to datawarehouse

▸ conduit_add_forward(stream: "sensors", type: "mqtt", broker: "mqtt://redis.acme.io", topic: "hot/sensors")
  ↳ Destination added · 2 destinations active

▸ conduit_backfill(stream: "sensors", from: "2026-02-24", to: "2026-03-02")
  ↳ Backfilling 89,929 events from last 7 days

Learn more at usecondu.it

License

MIT

Install Server

security – no known vulnerabilities

license - not found

quality - A tier

How are these scores calculated?

Resources

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