FRENES

Databases · MCP server

Nutrition MCP: MCP server, setup and security

Nutrition MCP is an open-source MCP server that lets an AI agent log meals and macros and look up nutritional food information. Its repository has 81 stars and its last commit is from October 10, 2026 and it is licensed under MIT.

Score
64/100
Adoption (stars) 19/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintainedRemote server

What Nutrition MCP does

According to its repository: “Nutrition tracking: log meals and macros, USDA and Open Food Facts lookups, history, app import.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Nutrition MCP is listed under Databases, a category of 138 servers in the directory, where it ranks #76 by stars.

Topics declared by the repository: bun, claude, hono, meal-tracking, nutrition, oauth2.

Installing and connecting Nutrition MCP

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Nutrition MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 8, 2026, the akutishevsky/nutrition-mcp repository has 81 stars and 30 forks, with 13 open issues. It has more stars than 62% of the servers in the directory. It received changes this month. Version published in the registry: 1.29.0 (October 10, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

DbxDbx : 27.7K27.7KMCP Toolbox for DatabasesMCP Toolbox for Databases : 16.7K16.7KNhostNhost : 9.4K9.4KJitsuJitsu : 5.1K5.1KPostgres MCP (crystaldba)Postgres MCP (crystaldba) : 3.4K3.4KLINQ to DBLINQ to DB : 3.3K3.3KSupabaseSupabase : 3K3KMindwtrMindwtr : 2.3K2.3KNutrition MCPNutrition MCP : 8181
GitHub stars of the most followed servers in the category (log scale); Nutrition MCP in orange. Checked October 25, 2026.

Verdict

Nutrition MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Frequently asked questions

How do I install Nutrition MCP?

Nutrition MCP is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of akutishevsky/nutrition-mcp.

Is Nutrition MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Nutrition MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by akutishevsky on GitHub. Check who maintains it before giving it access.

What are the alternatives to Nutrition MCP?

In the same category: Nhost, ArcadeDB MCP Server, Jitsu, and Supabase. Nhost and ArcadeDB MCP Server score higher on our grid.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score