Integrations

Ways to use The Neural Ledger without writing a client.

Automation platforms

n8n

Community node, installable from within n8n.

Settings → Community nodes → Install → n8n-nodes-tnl-intelligence

Add your API key as a TNL credential, then use the node as a trigger (new stories matching a filter) or an action (search, fetch by entity or asset). A typical flow: TNL trigger → filter on impactPaths → post to Slack.

Self-hosted n8n only; n8n Cloud does not allow community nodes.

Zapier

Search for The Neural Ledger in the Zap editor. Triggers fire on new intelligence; actions search and fetch stories. Zapier hosts the webhook receiver, so you need no public endpoint of your own.

Others

Activepieces, Dify, and Pipedream integrations are in progress. Until they ship, those platforms can call the API directly with a generic HTTP request block, or receive webhooks at a hosted URL.

AI clients

The MCP server exposes intelligence as tools to any MCP-capable client — Claude Desktop, Cursor, and others.

npx -y @theneuralledger/mcp

Registry listings: Smithery, the official MCP Registry, and Glama. Client-by-client configuration is in MCP connecting, and the tool surface in MCP tools.

API tooling

Postman

A published collection covers every endpoint with working examples. Fork it, set your API key as a collection variable, and send.

OpenAPI

The schema is published and is what generates both the SDK types and the API reference. Point any OpenAPI generator at it to produce a client in your language.

Containers

docker run --rm -e TNL_API_KEY=$TNL_API_KEY \
  ghcr.io/bekirdag/tnl-intelligence tnl latest --limit 5

Image	Contents
ghcr.io/bekirdag/tnl-intelligence	CLI and MCP server
ghcr.io/bekirdag/tnl-intelligence-gateway	Gateway service

Useful for CI, or for running the MCP server somewhere without a Node toolchain.

Choosing

You want	Use
No-code automation	n8n or Zapier
An AI assistant that can read intelligence	MCP server
Events pushed to your own service	Webhooks
Full control in your own code	SDK or Python client
A quick look from a terminal	CLI