Resources

The Tesser API is designed for both human developers and AI agents. All endpoints are accessible via standard REST calls and via the Model Context Protocol (MCP), allowing AI coding assistants to discover and invoke Tesser operations as tools.

AI-Friendly Resources

Authentication

Both REST and MCP use the same Auth0 OAuth 2.0 credentials. You need a TESSER_API_KEY and TESSER_API_SECRET (issued as Auth0 client credentials).

MCP clients that support OAuth discovery can read the resource-metadata endpoint above to locate our Auth0 authorization server and authenticate automatically — see MCP Integration. Otherwise, obtain a bearer token manually as below.

Obtain a Token

Code
 
curl --request POST \
  --url https://dev-awqy75wdabpsnsvu.us.auth0.com/oauth/token \
  --header 'content-type: application/json' \
  --data '{
    "client_id": "'$TESSER_API_KEY'",
    "client_secret": "'$TESSER_API_SECRET'",
    "audience": "https://sandbox.tesserx.co",
    "grant_type": "client_credentials"
  }'

The response contains an access_token to use as a Bearer token in all subsequent requests.

Environment Setup

Create a .env file in your project root:

Code
 
TESSER_API_KEY=your-api-key
TESSER_API_SECRET=your-api-secret