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MCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations.
Tessera MCP Server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Tessera MCP Server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @tessera-llm/mcp-server@0.1.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-27T13:08:25.126872Z",
"publishedAt": "2026-05-27T13:08:25.126872Z",
"statusChangedAt": "2026-05-27T13:08:25.126872Z"
}
},
"server": {
"name": "io.tesseraai/mcp-server",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"tools": [
{
"name": "tessera_list_workloads",
"side_effect": "read"
},
{
"name": "tessera_get_savings_report",
"side_effect": "read"
},
{
"name": "tessera_get_recommendation_queue",
"side_effect": "read"
},
{
"name": "tessera_get_ledger_entries",
"side_effect": "read"
},
{
"name": "tessera_get_quality_snapshot",
"side_effect": "read"
},
{
"name": "tessera_approve_recommendation",
"side_effect": "write"
}
],
"status": "active",
"license": "Apache-2.0",
"keywords": [
"tessera",
"mcp",
"llm",
"cost-optimization",
"ai-cost",
"llm-proxy",
"openai",
"anthropic",
"claude",
"savings",
"audit"
],
"security": {
"scanned_by": [
"tessera-static-scan v0.1"
],
"auth_methods": [
"api_key_env_var"
],
"auth_required": true,
"scanned_by_planned": [
"snyk-agent-scan"
],
"auth_methods_planned": [
"oauth_2.1"
],
"untrusted_content_labeling": "active"
},
"categories": [
"observability",
"cost-optimization",
"ai-infrastructure",
"llm-tooling"
],
"client_compatibility": {
"zed": "supported_via_mcp_remote_bridge",
"cline": "supported",
"goose": "supported_via_http",
"cursor": "supported",
"continue": "supported",
"claude_code": "supported",
"claude_desktop": "supported"
},
"transports_supported": [
"stdio",
"streamable-http"
]
}
},
"title": "Tessera MCP Server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "@tessera-llm/mcp-server",
"runtimeHint": "npx",
"registryType": "npm",
"environmentVariables": [
{
"name": "TESSERA_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "API key in tk_* format. Get one free at https://tesseraai.io/dev."
},
{
"name": "TESSERA_UPSTREAM_API_BASE_URL",
"default": "https://ledger.tesseraai.io",
"description": "Override only for staging or local-dev testing."
}
]
}
],
"repository": {
"url": "https://github.com/tessera-llm/mcp-server",
"source": "github",
"subfolder": "node"
},
"websiteUrl": "https://tesseraai.io/dev",
"description": "MCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations."
}
}