Dieta.ai vs Server Everything

A side-by-side look at the Dieta.ai and Server Everything MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Dieta.ai logoDieta.aiBiology & Bioinformatics · Remote HTTP/SSENutrition tracking by Dieta.ai. Read your food log with macros (calories, protein, carbs, fat, fiber56GoodAuth: not declaredServer Everything logoServer EverythingOther Tools and Integrations · Local subprocess (stdio)MCP server that exercises all the features of the MCP protocol73GreatAuth: no auth required

Verdict: choose Dieta.ai for biology & bioinformatics work over a hosted endpoint; choose Server Everything for other tools and integrations as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Dieta.ai logoChoose Dieta.ai when

  • You need dedicated capabilities in the Biology & Bioinformatics domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like dietaai_foods, dietaai_goals, dietaai_user.
Explore Dieta.ai

Server Everything logoChoose Server Everything when

  • You need dedicated capabilities in the Other Tools and Integrations domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like echo, get-annotated-message, get-env.
Explore Server Everything

Feature & specification comparison

Rows where the two servers differ are marked.

SpecDieta.ai logoDieta.aiServer Everything logoServer Everything
CategoryBiology & BioinformaticsOther Tools and Integrations
Quality signal56/100 · Good73/100 · Great
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars091,547
Directory activity 0 views 0 installs 0 upvotes 10 views 0 installs 0 upvotes
Tools1916

Tools & capabilities

Dieta.ai tools 19

  • dietaai_foodsConsulta o log de alimentos do usuário com os macros. Use date para um único dia (YYYY-MM-DD) OU start_date/end_date para um intervalo (máx 31 dias). Retorna os itens por refeição e os totais do dia (kcal, proteína, carbo, gordura, fibra, sódio, água).
  • dietaai_goalsMetas nutricionais do usuário (calorias, proteína, carbo, gordura, água, fibra e metas customizadas). Compare com os totais de dietaai_foods para avaliar a aderência.
  • dietaai_userPerfil básico do usuário: nome, email, userId, fuso horário, idioma e data de criação.
  • dietaai_logRegistra uma refeição enviando texto e/ou a URL de uma foto pro mesmo pipeline de IA do chat do app (reconhece alimentos e calcula macros). Pelo menos um de prompt ou imageUrl é obrigatório. É fire-and-forget (retorna aceito, o processamento é assíncrono).
  • dietaai_diaryResumo do diário (journal) de um dia, no formato YYYY-MM-DD.
  • dietaai_diary_schemeDefinições dos itens de diário do usuário (as faixas/tracks que ele acompanha, ex.: glicose).
  • dietaai_diary_logsLinhas históricas de um track do diário (ex.: série de glicose). diaryId é obrigatório; start_range_date e end_range_date filtram o intervalo quando ambos são informados.
  • dietaai_subscriptionDados da assinatura do usuário no Dieta.ai.
  • dietaai_diabetesConfigurações/perfil de diabetes do usuário (bloco user_diabetes).
  • dietaai_integrationPonte HTTP para a API oficial de um wearable ligado à conta (Whoop, Strava ou Oura). O path segue a doc do fornecedor, ex.: Whoop "v1/cycle", Strava "api/v3/athlete", Oura "v2/usercollection/daily_activity". O vínculo OAuth é feito uma vez no app Dieta.ai.
  • dietaai_libre_dataDados de glicose do LibreView (Libre). Body opcional, igual ao que o app envia após conectar.
  • dietaai_sibionics_dataDados de glicose do Sibionics (gráfico). Body opcional, passthrough.
  • +7 more on the listing page

Server Everything tools 16

  • echoEchoes back the input string
  • get-annotated-messageDemonstrates how annotations can be used to provide metadata about content.
  • get-envReturns all environment variables, helpful for debugging MCP server configuration
  • get-header-paramsReturns its region argument and the Mcp-Param-Region HTTP header it arrived in. Demonstrates x-mcp-header (a 2026-07-28 Streamable HTTP client mirrors the argument into the header) and JSON Schema 2020-12 input and output schemas.
  • get-resource-linksReturns up to ten resource links that reference different types of resources
  • get-resource-referenceReturns a resource reference that can be used by MCP clients
  • get-structured-contentReturns structured content along with an output schema for client data validation
  • get-sumReturns the sum of two numbers
  • get-tiny-imageReturns a tiny MCP logo image.
  • gzip-file-as-resourceCompresses a single file using gzip compression. Depending upon the selected output type, returns either the compressed data as a gzipped resource or a resource link, allowing it to be downloaded in a subsequent request: during the current session for a 2025-era client, or for ten minutes at a minted URI on protocol version 2026-07-28.
  • trigger-list-changedSends a notifications/<list>/list_changed for the tool, prompt or resource list. On protocol version 2026-07-28 it is delivered on each subscriptions/listen stream that asked for that list; a 2025-era client receives it unsolicited.
  • trigger-log-messagesSends one log message at each logging level during the call. On protocol version 2026-07-28 only the messages at or above the level the request names in _meta (io.modelcontextprotocol/logLevel) are sent, and none if it names no level; a 2025-era client gets those at or above the level it set with logging/setLevel. Deprecated: logging is deprecated as of protocol version 2026-07-28.
  • +4 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Dieta.ai

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "dieta-ai": {
      "url": "https://api.mcp.ai/p_dieta"
    }
  }
}

Server Everything

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "modelcontextprotocol-server-everything": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everything"
      ]
    }
  }
}

Frequently asked questions

Dieta.ai is categorized under Biology & Bioinformatics and uses a remote HTTP/SSE transport. Server Everything belongs to Other Tools and Integrations and uses a local stdio subprocess. Pick Dieta.ai for biology & bioinformatics work and Server Everything for other tools and integrations.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Dieta.ai has no declared pricing — check the project's own site. Server Everything is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add dieta-ai and modelcontextprotocol-server-everything as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Dieta.ai has a quality signal of 56/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Server Everything has 73/100 (Great) with 10 views, 0 installs and 91,547 GitHub stars.