Servidores MCP

El registro abierto de servidores Model Context Protocol. Encuentra herramientas, recursos y prompts para tus agentes de IA, filtrados por categoría, transporte o caso de uso.

Servidores

175

Herramientas

465

Categorías

11

Colaboradores

153

175 servidores

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AgentMail MCPAgentMail

AgentMail MCP gives AI agents secure email operations through hosted MCP access and local stdio bridges for agent-native inbox workflows.

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Apache Doris MCP ServerApache Doris

Apache Doris' MCP server provides agents with governed access to Doris analytics databases for schema discovery, query assistance, and operational investigation.

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Apache IoTDB MCP ServerApache IoTDB

Apache IoTDB's MCP server connects agents to time-series data and metadata for operational analysis, industrial telemetry exploration, and query assistance.

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Apache SkyWalking MCP ServerApache SkyWalking

Apache SkyWalking's MCP server gives agents access to observability data for tracing, service topology, metrics, logs, and production incident investigation.

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Apache Solr MCP ServerApache Solr

Apache Solr's MCP server connects agents to search collections and query workflows for schema discovery, relevance investigation, and search application development.

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Atlassian MCP ServerAtlassian

Atlassian's official MCP server provides authenticated access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass workflows.

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Buildkite MCP ServerBuildkite

Buildkite's official MCP server for querying and operating CI/CD pipelines, builds, jobs, artifacts, and organization-level delivery workflows.

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Chrome DevTools MCPChrome DevTools

Chrome's official MCP server for inspecting and controlling a live browser through Chrome DevTools. It helps agents diagnose UI, network, performance, and runtime issues.

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Cloud Run MCP ServerGoogle Cloud

Google Cloud's MCP server for deploying and managing applications on Cloud Run, giving coding agents a guided path from source code to a serverless production service.

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Dagster MCP ServerDagster

Dagster's MCP integration enables agents to inspect and operate data assets, jobs, schedules, and runs in modern data platforms.

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Directus MCP ServerDirectus

Directus' MCP integration connects agents to headless CMS data, schemas, and operations for governed content and application workflows.

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Everything MCP Reference ServerModel Context Protocol

The official MCP reference and test server demonstrates tools, resources, prompts, sampling, and protocol capabilities for MCP client development.

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Firebase MCP ServerFirebase

Firebase's MCP integration exposes Firebase project context and development workflows to coding agents for building, testing, and operating Firebase applications.

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Fivetran MCP ServerFivetran

Fivetran's MCP server helps agents inspect data connectors and sync health, diagnose broken connections, and answer operational questions about managed ELT pipelines.

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Google Ads MCP ServerGoogle Ads

Google's official MCP server for the Google Ads API, exposing resources and tools that let agents analyze advertising accounts and support campaign operations.

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GrowthBook MCP ServerGrowthBook

GrowthBook's official MCP server for working with feature flags, experiments, and metrics so agents can safely support product experimentation workflows.

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Harness MCP ServerHarness

Harness' official MCP server for connecting agents to software delivery workflows, including deployment pipelines, services, environments, and delivery insights.

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InfluxDB MCP ServerInfluxData

InfluxData's MCP server connects agents to InfluxDB 3 for SQL queries, schema exploration, and time-series database operations.

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JetBrains MCP ServerJetBrains

JetBrains' official MCP server for working with IntelliJ-based IDEs and Android Studio, enabling agents to inspect projects and use IDE-aware development capabilities.

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JFrog MCP ServerJFrog

JFrog's MCP server lets agents work with Platform services for artifact repositories, build information, release lifecycle management, and software supply-chain workflows.

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MarkItDown MCPMicrosoft

Microsoft's MarkItDown MCP integration converts documents from HTTP, file, and data URIs into Markdown for agent-ready analysis and retrieval.

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Skills frente a servidores MCP

¿cuál es la diferencia?

Skillsel «qué hacer»

Una Skill reúne conocimientos prácticos —instrucciones, un prompt de ejemplo y modelos recomendados— para que un agente realice una tarea de forma consistente. Las Skills aportan conocimiento, no nuevas conexiones.

Servidores MCPel «cómo conectarse»

Un servidor MCP proporciona nuevas capacidades a un agente conectándolo con sistemas reales —bases de datos, API o archivos— mediante un transporte. MCP añade conexiones y acciones, no instrucciones de tarea.

Regla práctica: usa una Skill cuando necesites que el modelo realice bien una tarea y un servidor MCP cuando necesites conectarlo con una herramienta o sistema. Se complementan: una Skill puede utilizar las herramientas que proporciona un servidor MCP.

¿Has creado un servidor MCP?

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