Flujos de consulta MCP

Let your AI think.
We’ll handle the heavy data work.

Find the right tables. Turn large results into compact findings. Keep the data ready for the next question.

Query Streams gives your AI client a partner beside your databases: the Network Agent. Less data to read and move. Fewer repeated requests. More room to work through your question.

Start with FreeSee it in action

Table discovery and read-only queries on Free.
Profiling and follow-up analysis from Personal Core.

A Network Agent works beside two databases inside a building, sending a compact findings card to an AI client outside.
The groundwork happens beside your data.Your AI client uses the findings to reason, explain and follow up.

Why Query Streams MCP?

Because getting a useful answer takes more than running a query. Your AI client needs to find the data, make sense of it and ask the next question.

Find the right place to start.

A short question finds relevant tables by meaning, even among thousands of coded names. Your AI client reads the schema it needs and gets on with the query.

Less searching. Fewer guesses.

Spend tokens on useful context.

The Network Agent profiles and analyses large results beside your database. Your AI client receives compact findings it can use to decide what to explore next.

Less raw data to read and transfer.

Ask the next question without starting over.

Filter, group, compare or sample a held result. Follow-up tools reuse the data already on the Network Agent, without another database query.

Fewer round trips. Less repeated work.

Work with private data on your terms.

The Network Agent connects out from inside your network. Database credentials stay there, and queries pass a read-only check before they reach your data.

No inbound database ports or VPN.

Table discovery is included on Free

Start with the right tables.

Your AI client asks for what it needs in plain words, in any language. Query Streams returns a short, ranked list of matching tables, with a reason for each match. Then your AI client reads the columns it needs and writes the query.

  • Ask in your language. Find tables by meaning.Search names, columns and descriptions across a captured database. Semantic Intelligence can add meaning to abbreviated names, and your team’s table choices help improve future searches.
  • Works across the whole captured database.New captures become searchable within minutes. Table and description changes are reflected automatically. Finding a table does not query your database.

Measured in development tests on November 6, 2026: about 60 ms median per search; 71 of 72 questions across 12 languages found the right table in the top three. Results vary by database and question.

Your AI client asks

Find vehicle auction history, then count the records.

A ranked shortlist, with reasons qs_find_tables
  1. auc_uaxmtn.conlibv_pfarbhist1,048 rows · Match in description
  2. auc_uaxmtn.conlibv_pfvehcond2,258,576 rows · Name match: vehicle
    Read as: vehicle condition

Next: read the matching table's schemaqs_get_table_schema
database: asi
table: auc_uaxmtn.conlibv_pfarbhist

Then: run the read-only querySELECT COUNT(*) AS history_rows
FROM auc_uaxmtn.conlibv_pfarbhist;

Illustrative auction-database exchange using table names and row counts from development testing. Reply shortened for readability.

See what your AI can do with a head start.

Once the right data is found, the Network Agent can profile it, calculate over it and keep it ready for follow-up questions. Choose an example to see how a large result becomes something your AI client can explain.

Your AI client or Nova
  • Nova
Usa el modelo y decide qué preguntar.
Agente de redFlujos de consultaProfiles and analyses data beside your databases.
Perfila las facturas y, después, prioriza la gestión de cobrosConsulta guardada: Análisis de facturas
Análisis ilustrativo
Núcleo personal y superior
  1. Comprende el resultado de las facturas

    Perfila los datos antes de leer las filas.

    Nova or your AI client needs to understand a large invoice result. It asks for a local profile, rather than reading batches of invoices to discover the columns and values.

    La IA empieza con un mapa conciso de los datos.

    Nova or your AI client

    ¿Qué contiene este resultado de facturas y qué campos pueden ayudarnos a reclamar los saldos vencidos?

    Comprende el resultado antes de solicitar los detalles.
    Consulta guardada: Análisis de facturas
  2. Herramienta optimizada: creación de perfiles de resultados

    Crea un perfil de un resultado extenso de facturas.

    El agente analiza el resultado junto a tu base de datos y devuelve estadísticas de columnas, rangos y valores frecuentes. Así, la IA puede ver cómo analizar las facturas sin procesar cada fila por sí misma.

    Cuantos menos datos sin procesar haya en el contexto del modelo, menos tokens habrá que procesar y menos datos se transferirán por Internet.

    Network Agent, dentro de tu red
    Análisis de facturasFunciona conServidor SQL
    Perfilar un resultado de consultaqs_run_saved_query / mode: profile
    184,902filas perfiladas
    6columnas
    Datos destacados de las columnas seleccionadas
    ID de factura0 valores ausentes
    CantidadDe 1.140,00 a 28.900,00
    EstadoAbierta, Vencida, Pagada
    RegiónNorte, Sur, Este, Oeste
    Resultado completo almacenado localmenteLa IA recibe el perfil. El agente conserva las filas listas para el siguiente cálculo.
  3. Herramienta de seguimiento: consultar el resultado almacenado

    Pide los totales que te interesan.

    El perfil proporciona a la IA los campos que necesita. Esta pide al agente que filtre las facturas vencidas y agrupe sus saldos por región usando el resultado que ya está almacenado localmente.

    En este ejemplo no hay una segunda consulta a la base de datos.

    Nova or your AI client follows up

    Agrupa los saldos vencidos por región. ¿Por dónde empezamos?

    Utilizar el resultado almacenadoFiltra las facturas vencidas y calcula SUM(amount) por región en el resultado almacenado.
    El agente reutiliza el mismo resultado junto a tus datos.
  4. Cuatro totales, listos para explicar

    Ordena primero los saldos más altos.

    El agente devuelve cuatro totales regionales. La IA puede centrarse en las prioridades de cobro, en lugar de solicitar, leer y sumar repetidamente las filas de facturas.

    Las 184.902 filas permanecen localmente para este análisis. Cuatro filas agrupadas responden a la consulta de seguimiento.

    Network Agent, dentro de tu red
    Agrupar localmente los saldos vencidosqs_result / op: consulta
    RegiónAtrasado
    Sur28,900.00
    Norte17,320.80
    Este9,765.25
    Oeste5,493.95
    Total61,480.00
    184.902 filas almacenadas localmente. Esta consulta de seguimiento devuelve 4 filas de resumen a la IA.
    Tu IA ya puede explicar

    El Sur y el Norte representan el 75,2 % del importe vencido. Empieza los cobros por esas regiones y después aborda los saldos regionales más pequeños.

Datos ilustrativos y flujo de trabajo simplificado. No se envía ninguna solicitud MCP. La elaboración de perfiles y las consultas sobre resultados retenidos requieren Personal Core o superior. La segmentación, la detección de anomalías y las comparaciones requieren Business Core o superior, dentro de los límites de su plan. El plan Free incluye consultas MCP estándar de solo lectura.

La misma base de Network Agent permite usar Nova, nuestro analista de IA integrado.

The Network Agent advantage

The heavy work belongs beside your data.

Profiles, calculations and held results stay close to the database. Your AI client receives the findings it asks for, with less data to transfer and less repeated processing.

Standard MCP queries return query results. With the optional analysis tools, your AI client can request a compact profile or calculation instead of the full result.

  • Your database credentials stay inside.Your AI client signs in to Query Streams or uses a revocable MCP key. It never needs your database password.
  • One outbound, encrypted connection.Requests and results travel over a connection opened by the Network Agent. Your database needs no inbound port or VPN for Query Streams.
  • Read-only is enforced beside the data.The Network Agent checks every query and refuses statements that would change your data.

Bring the data your business actually runs on.

Use the same MCP connection across supported databases, files, logs and API-connected services. Saved queries and cross-source queries give your AI client more ways to work with the data you already have.

Explore supported sources
  • Bases de datosSQL Server, PostgreSQL, MySQL, Oracle and more, on your network or in the cloud.
  • Archivos y registrosWork with CSV, Excel, Parquet and log data through supported file connectors.
  • Connected servicesQuery service data and join it with your other sources, within your plan limits.

Start free. Add deeper analysis when you need it.

Gratis

Find the right tables and run read-only queries. Use saved queries and join up to two sources.

  • Table discovery in plain language
  • One API key, 30 calls per minute
  • Up to 1,000 rows per query
Free is a plan. It never expires.

Núcleo personal

Give your AI client compact findings and data it can reuse.

  • Size checks and column profiles
  • Compact result summaries
  • Held results for follow-up questions
Less data work in the AI conversation.

Núcleo empresarial

Go deeper into quality, patterns and changes across your data.

  • Comprobaciones de calidad de datos
  • Anomalías, segmentos y comparaciones
  • Nova, el analista de IA integrado
More ways to investigate what matters.

Features are available within each plan’s allowances. Compare plans and limits

Connect your data once. Bring your AI client.

Install the Network Agent on Windows, Mac or Linux and connect your data sources. Then connect your AI client through SSO or a revocable MCP key.

Iniciar sesión con SSO

For AI clients that support sign-in

Añade Query Streams a tu aplicación de IA, inicia sesión con tu cuenta de Query Streams y aprueba el acceso. No hay que copiar ninguna clave de API.

Conectar con una clave de API

Para herramientas compatibles con conexiones mediante clave de API

Crea una clave MCP revocable en el asistente de conexión del portal y, después, añade la dirección del servidor y la clave a la configuración de tu herramienta.

Server settings for API-key clients
"querystreams": { "url": "https://mcp.querystreams.com/mcp", "headers": { "X-MCP-Key": "tu clave" } }

Ambos métodos mantienen las credenciales de acceso a la base de datos en Network Agent. Revoca el acceso desde el portal cuando quieras.

Guía paso a pasoFind Query Streams in your AI client’s connector directoryOr use Nova, the AI analyst built into Query Streams

Preguntas que la gente hace primero

Does it work on a very large database?

Yes. Your AI client asks for what it needs and gets matching tables ranked, with a reason for each match, whether the database has 40 tables or 20,000. It can find the right table without reading the whole list.

Does my AI need to know my table names?

No. Your AI client can ask in plain words, in any language. Table names, column names, descriptions and captured sample values help find matches. Semantic Intelligence can add meaning to abbreviated or coded names, but it is optional.

Does finding a table use my data allowance?

Only the small reply itself. Finding a table reads nothing from your database.

What happens right after I connect a big database?

It becomes searchable within minutes of schema capture, with nothing to configure. Until then, your AI client is told the index is still building and how far along it is, and it can list tables the usual way. Changes to tables and descriptions are reflected automatically.

Does finding a table send my schema to an AI vendor?

Finding a table runs entirely inside Query Streams; no third-party AI service performs the search. Your connected AI client receives the matching table names and reasons. If it asks for a table’s schema or query results, those replies are returned to that client too.

¿Necesito abrir puertos o usar una VPN?

No. The agent runs inside your network and opens one outbound, encrypted connection to Query Streams. Requests and results travel both ways over it. Your AI client connects to Query Streams, never to your database, so there is no inbound port, no IP allowlist and no VPN. The agent runs on a laptop, a VM, on-prem hardware or any cloud that allows outbound HTTPS.

¿Puedo usar SSO o una clave de API?

Yes. If your AI client supports SSO, connect with your Query Streams account. For clients that use API-key authentication, create a revocable MCP key in the portal and add it with the server address. Your database login stays on the Network Agent with either method.

¿Mi cliente de IA ve mis filas?

Standard MCP queries return query results to your AI client. Optional profiling and analysis tools send compact findings instead of the full result. Held results stay on your Network Agent, and your AI client receives only the rows or summaries it requests.

¿Qué es un resultado retenido?

A result your AI client asks the agent to keep for a while. Follow-up questions are answered from that copy, with no second database query: filter it, group it, sort it, page through it or take a sample. Query Streams' servers never store those rows. It is released when its hold time ends, when the assistant releases it, or when someone clears held results on the Data Agents page. Held results are on Personal Core and up.

¿Qué ocurre si la IA intenta escribir o borrar datos?

Cada consulta pasa por una comprobación de solo lectura en el agente antes de llegar a tu base de datos. Se ejecutan SELECT, WITH y EXPLAIN; cualquier otra instrucción se rechaza. La comprobación se realiza dentro de tu red, no en la nube.

¿Qué planes lo incluyen?

Table discovery and read-only MCP queries are included on every plan, including Free. Free never expires and includes one key, 30 calls a minute and up to 1,000 rows per query. Profiling and held-result analysis start on Personal Core; deeper analysis starts on Business Core. Nova, the AI analyst built into Query Streams, starts on Business Core. Comparar planes.

Give your AI a head start on its next answer.

Find the right tables. Let the Network Agent prepare the data. Give your AI client more room to think.

Obtén el plan gratuito