# Tessera MCP Server

> Use this tool when you need to optimize large language model (LLM) costs, detect spend drift, and receive recommendations for cost-optimization. The Tessera MCP Server provides anchored spend, drift detection, and typed tool recommendations as core functionality, accepting input parameters and outputting optimized cost structures. Ideal for use cases where LLM cost management is crucial, such as resource-intensive AI applications.

Canonical page: https://skillsregistry.net/skills/tessera-llm-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tessera-llm-mcp-server

## Description

MCP server for Tessera's LLM cost-optimization layer. Anchored spend, drift detection, recommendations as typed tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rtz9s5qs8t)
- **Repository:** <https://github.com/tessera-llm/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tessera-llm-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tessera-llm-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tessera-llm-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt