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25 MCP servers · ranked by best match
Google BigQuery MCP Server is a first-party MCP surface for bigQuery data and analytics tools through Google Cloud remote MCP servers. The engineering-leadership use case is straightforward: give data-aware engineering agents governed SQL/analytics access through IAM.
VIEWS 30D 0PROVIDER Google CloudDatabricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
VIEWS 30D 0PROVIDER DatabricksFor teams using ClickHouse, ClickHouse Cloud MCP Server exposes clickHouse Cloud data querying plus service, backup, ClickPipe and billing visibility to MCP-capable engineering tools. In an engineering organization, this can give data and platform agents a live analytical view of ClickHouse Cloud without custom API wrappers.
VIEWS 30D 0PROVIDER ClickHouseFor teams using Databricks, Databricks Genie One MCP Server exposes natural-language access to Genie One over enterprise data with grounded answers and source links to MCP-capable engineering tools. In an engineering organization, this can give engineering leadership conversational access to trusted operational and business data models.
VIEWS 30D 0PROVIDER DatabricksSplunk MCP Server gives approved AI clients access to splunk search and data access over Streamable HTTP with enterprise authentication and RBAC. It is most valuable where teams want to expose operational and security data to agents while retaining Splunk governance controls.
VIEWS 30D 0PROVIDER SplunkFor teams using MongoDB, MongoDB MCP Server exposes mongoDB data operations plus Atlas and deployment administration capabilities to MCP-capable engineering tools. In an engineering organization, this can let agents query application data and reason about database configuration from the same development workflow.
VIEWS 30D 0PROVIDER MongoDBUse Snowflake-managed MCP Server to connect engineering agents with cortex Analyst, Cortex Search, Cortex Agents, custom tools and governed SQL execution. The key operational benefit is to expose enterprise data and semantic tools to agents without deploying separate MCP infrastructure.
VIEWS 30D 0PROVIDER SnowflakeRedis MCP Server gives approved AI clients access to redis reads, writes, queries and selected server-management operations. It is most valuable where teams want to give agents direct access to caching, session, queue and vector/search data structures used by applications.
VIEWS 30D 0PROVIDER RedisElastic Agent Builder MCP Server is a first-party MCP surface for elastic Agent Builder tools, including ES|QL-backed access to Elasticsearch data. The engineering-leadership use case is straightforward: give external engineering agents a governed interface to Elastic search, observability and custom tools.
VIEWS 30D 0PROVIDER ElasticCloudflare DNS Analytics MCP Server turns dNS analytics data for zones managed on Cloudflare into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to help network and platform engineers investigate DNS behavior directly from their AI tools.
VIEWS 30D 0PROVIDER CloudflareDatadog MCP Server gives approved AI clients access to datadog observability data and tools for AI clients across production systems. It is most valuable where teams want to connect coding and operations agents to live telemetry so fixes can be grounded in runtime evidence.
VIEWS 30D 0PROVIDER DatadogPulumi MCP Server is a first-party MCP surface for pulumi Cloud stacks, resources, Registry data and infrastructure workflows. The engineering-leadership use case is straightforward: give cloud engineering agents a live view of deployed infrastructure as well as IaC-generation context.
VIEWS 30D 0PROVIDER PulumiLinear MCP Server turns linear issues, projects and team planning data via an official MCP connection into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give agents direct access to engineering plans and issue context without copying tickets into prompts.
VIEWS 30D 0PROVIDER LinearGoogle Cloud Trace MCP Server turns distributed tracing data from Cloud Trace exposed through MCP into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let engineering agents follow request paths across services when debugging performance.
VIEWS 30D 0PROVIDER Google CloudSupabase MCP Server is a first-party MCP surface for supabase projects, Postgres data, migrations, Edge Functions and related backend workflows. The engineering-leadership use case is straightforward: give full-stack engineering agents controlled access to a live backend platform during development.
VIEWS 30D 0PROVIDER SupabaseDigitalOcean Spaces MCP Server turns spaces object-storage resources and management context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give engineering agents visibility into buckets used for application assets and data workflows.
VIEWS 30D 0PROVIDER DigitalOceanConfluent Cloud MCP Servers turns confluent Cloud environments, Kafka clusters, topics, schemas, connectors and metrics across managed MCP endpoints into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give platform and streaming-data teams direct agent access to Kafka operational context.
VIEWS 30D 0PROVIDER ConfluentFor teams using AWS, Amazon DynamoDB MCP Server exposes dynamoDB tables and database-related context for AI clients to MCP-capable engineering tools. In an engineering organization, this can let application engineers inspect DynamoDB-backed systems while coding and debugging.
VIEWS 30D 0PROVIDER AWSUse Google Firestore MCP Server to connect engineering agents with firestore database resources and operations via Google-hosted MCP. The key operational benefit is to enable application agents to reason about Firestore-backed systems using live platform context.
VIEWS 30D 0PROVIDER Google CloudFor teams using Docker, Docker Hub MCP Server exposes docker Hub image metadata, discovery and repository management to MCP-capable engineering tools. In an engineering organization, this can help engineering agents select, inspect and manage container images with authoritative registry context.
VIEWS 30D 0PROVIDER DockerFor teams using DigitalOcean, DigitalOcean Databases MCP Server exposes managed database clusters and configuration context on DigitalOcean to MCP-capable engineering tools. In an engineering organization, this can let platform and application agents inspect database infrastructure alongside application deployments.
VIEWS 30D 0PROVIDER DigitalOceanNeon MCP Server turns neon projects, Postgres branches and SQL/database management operations into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to make branchable Postgres infrastructure directly accessible to agentic development workflows.
VIEWS 30D 0PROVIDER NeonUse Datadog Code Security MCP Server to connect engineering agents with code-security findings including SAST, secrets, SCA, IaC and software inventory context. The key operational benefit is to put application-security evidence into AI coding workflows before vulnerable changes reach production.
VIEWS 30D 0PROVIDER DatadogGoogle Cloud SQL MCP Server turns cloud SQL resources and database management context through Google remote MCP into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let platform agents inspect managed relational databases alongside application infrastructure.
VIEWS 30D 0PROVIDER Google CloudFor teams using Google Cloud, Google Apigee API Hub MCP Server exposes apigee API Hub catalog and API metadata through MCP to MCP-capable engineering tools. In an engineering organization, this can give engineering agents authoritative API inventory and lifecycle context.
VIEWS 30D 0PROVIDER Google Cloud