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
| Resource | URL |
|---|---|
| llms.txt | https://docs.tesser.xyz/llms.txt |
| Full docs for LLMs | https://docs.tesser.xyz/llms-full.txt |
| OpenAPI Schema | https://docs.tesser.xyz/api/v1/schema.json |
| MCP Endpoint | https://sandbox.tesserx.co/v1/mcp |
Authentication
Both REST and MCP use the same OAuth 2.0 client credentials flow. You need a TESSER_API_KEY and TESSER_API_SECRET (issued as Auth0 client credentials).
Obtain a Token
Code
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
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