MCP Analytics

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

• Conexión: Se ejecuta en la nube
• Transporte: Streamable HTTP
• Categoría: Marketing y redes sociales
• Debes completar: X-API-Key

Instalación

Elige la app de IA que usas y copia la configuración.

Necesitas

• Se ejecuta en la nubeNo hay nada que instalar; se conecta por internet

¿Qué app usas?

claude mcp add --transport http analytics https://api.mcpanalytics.ai/mcp/api-key --header 'X-API-Key: your-value'

{
  "mcpServers": {
    "analytics": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

{
  "servers": {
    "analytics": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

• X-API-Key secreto obligatorio HTTP header
  Your MCP Analytics API key, from https://account.mcpanalytics.ai

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Nombres y descripciones de las herramientas tal como los informó el servidor el 8 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.

• account_link

  Direct link to the right account page for anything not doable in chat: billing, browser upload, report management. Hand the user the link and guide them.

• about

  Platform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.

• agent_advisor

  AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.

• datasets_upload

  Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for path_resolver; omit it to get an upload link for a file only the user can reach. Add replace_ref (uuid://ID:KEY) with data to REFRESH an existing dataset in

• datasets_list

  List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference (the `usage` field) for use as dataset_ref in path_resolver and path_tool_run. The id alone ('uuid://dsv2_...') also works for your own datasets an

• discover_tools

  Browse the analyses you can run: the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with path_resolver.

• tools_schema

  Get an analysis's parameter schema. ALWAYS call before path_tool_run.

• review_estimate

  The estimate as you review it WITH the user: the question as understood, the estimated answer (sample, marked), every place and its question, the page link, a review checklist. Before path_bespoke.

• adjust_estimate

  Apply the user's layout wishes to the estimate's page through the layout agent; a new named arrangement, nothing overwritten, no number changes.

• find_precedent

  Before estimating: how did we answer this objective before, on this data or any data? Prior packages and library runs with their tools, mappings, bespoke module names, method and verdicts. Platform-wide, read-only.

• check_tool_fit

  Before naming a library tool: does it fit THIS dataset for THIS question? Column mapping, missing required inputs, method-fit verdict, the places it delivers. Read-only.

• package_status

  Read an analytics package back: status, every run under it, the report link once delivered.

• my_objects

  List and search the objects you own across every question: the curated charts, tables and figures of each delivered package, grouped by objective.

• build_status

  Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.

• ask_library

  Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.

• reports_list

  Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

• warehouse

  Query your org's data warehouse free: browse the catalog (tables with column roles + computed metrics), semantically find data, plain-language ask, or named templates. Requires warehouse enablement (business plans).

• schedules

  Standing re-runs of analyses you own: action='create' (weekly/monthly against a re-runnable data reference, connector:// or an https:// link; report emailed after each run), 'list', or 'cancel'.

• reports_view

  Get a shareable browser link for a report, viewable without authentication.

• report_cards

  Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

• path_resolver

  Which path a question about data should take (reuse, rerun, answer, tool_run, estimate, bespoke, ask or none), with the reason, every path's score and time, and the ready input for the path it picks. Executes nothing and charges nothing.

• path_reuse

  Hand back the report already delivered for this question on this data. Time: as path_resolver quotes.

• path_rerun

  Run a delivered analysis again, on its own dataset or a new one: the same tools and mappings, no rebuild. package_id may also be the person's own report link (a /rpt/ link or its rpt_ token) or estimate id (est_); it reruns their newest delivered package for it. Time: as path_res

• path_answer

  A read of the data (a total, an average, a count, the top group), computed on every row, in this response. When the question is not a read it says so and names the next step. Time: as path_resolver quotes. No key yet? Call it with objective and data (a small table, up to 200 rows

• path_tool_run

  Run one or more tested library tools on this dataset, with charts and a written report. No custom build. Time: as path_resolver quotes.

• path_estimate

  A rough answer over a sample and the layout of the full report, for the person to confirm before anything is ordered. Time: as path_resolver quotes.

• path_bespoke

  Order a custom analysis built for this data from a confirmed estimate, optionally with library tools alongside. Needs the person's yes and an idempotency key; a retry returns the first order. Time: as path_resolver quotes.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026

• ✓ Superada

  El creador coincide con el repo

  El nombre en el registro se verificó con el dominio mcpanalytics.ai (el registro comprueba quién es dueño del dominio)

• … Aún sin revisar

  Sigue en mantenimiento

  Todavía no hemos leído este repo en GitHub

• … Aún sin revisar

  Tiene licencia

  Todavía no hemos leído este repo en GitHub

• ✓ Superada

  El endpoint responde

  Respondió en 302 ms (HTTP 200)

• – No aplica

  Inicio de sesión con OAuth

  No hace falta iniciar sesión

• ✓ Superada

  Sin instrucciones ocultas en las descripciones de herramientas

  Leímos 27 descripciones de herramientas y no encontramos instrucciones ocultas para la IA

Comparado con otros en Marketing y redes socialesi

• Más estrellas que el 0% de los otros 3617 servidores de esta categoría
• Publicado en el registro más recientemente que el 55% de los otros 3617 servidores de esta categoría
• Revisiones básicas iguales o mejores que el 100% de los otros 3617 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

README del creador

{

claude mcp add --transport http mcpanalytics https://api.mcpanalytics.ai/mcp/api-key --header "X-API-Key: mcp_your_key_here"

curl -X POST https://api.mcpanalytics.ai/mcp/api-key \