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Glama
wganalytics

mcp-crewai-giulia-ai

by wganalytics

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PG_HOSTYesPostgreSQL host.localhost
PG_PORTNoPostgreSQL port.5432
PG_USERYesPostgreSQL user.
LLM_MODELYesThe LLM model to use for SQL generation (e.g., gpt-4o, claude-3-5-sonnet, gemini-1.5-pro, or an OpenRouter model identifier).
PG_PASSWORDYesPostgreSQL password.
GEMINI_API_KEYNoGoogle Gemini API key (required if LLM_MODEL is a Gemini model).
OPENAI_API_KEYNoOpenAI API key (required if LLM_MODEL is an OpenAI model).
ANTHROPIC_API_KEYNoAnthropic API key (required if LLM_MODEL is an Anthropic model).
OPENROUTER_API_KEYNoOpenRouter API key (required if LLM_MODEL is an OpenRouter model).
PG_STATEMENT_TIMEOUT_MSNoTimeout for SQL statements in milliseconds.15000

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
buscar_dados_sqlA

Responde uma pergunta em linguagem natural consultando o banco indicado.

O SQL é gerado a partir do schema, validado como somente-leitura e executado numa sessão read-only. Use listar_databases para descobrir os valores de database_name.

listar_databasesA

Lista os bancos disponíveis para consulta.

Use antes de buscar_dados_sql para descobrir o valor válido de database_name.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one discovers available databases, the other answers natural-language questions via SQL. The cross-references in each description make the intended order of use explicit, leaving no realistic chance of misselection.

Naming Consistency4/5

Both names follow a verb_noun snake_case pattern in Portuguese (buscar_dados_sql, listar_databases), which is readable and predictable. The minor deviation is the '_sql' suffix on one tool that isn't mirrored in the other.

Tool Count3/5

Two tools is borderline thin for a server, though for a strictly read-only NL-to-SQL workflow it is defensible. A schema-inspection or query-explanation tool would round out the set without bloat.

Completeness4/5

Discovery plus read-only querying covers the core stated purpose with no obvious dead ends. A dedicated schema/table introspection tool is a minor gap, since schema knowledge is currently only implicit inside buscar_dados_sql.

Maintenance

ActivitySlowing
ResponsivenessNo issues