"AWS Lambda" matching MCP servers:

Enables AI agents to query, send, and manage data from Claro Gerencial SOAP webservices, including listing entities, fetching records, generating FTP files, and submitting XML imports.

MCP server for Amazon MWAA that enables managing Airflow environments, DAGs, runs, task instances, and configurations through natural language, using secure AWS-native API access and read-only by default.

Enables users to execute SQL queries, manage workgroups, databases, tables, and named queries in AWS Athena through natural language.

Enables unified access to both structured databases (PostgreSQL, MySQL, SQLite, etc.) and unstructured object storage (AWS S3, Alibaba OSS, Huawei OBS, etc.) through a single interface.

Assists with SQL dialect transpilation, PySpark code optimization, and AWS Glue integration for data engineering tasks.

MCP Server to interact with Amazon Ads

Aggregates job listings from multiple ATS and job board APIs via MCP, enabling unified search and retrieval in a structured format without HTML parsing.

Enables AI agents and terminal users to query LinkedIn Ads (Marketing API) data locally with their own token, covering ad accounts, campaigns, campaign groups, performance metrics, demographic breakdowns, creatives, lead form counts, and campaign targeting. All operations are read-only GET requests, so nothing can be created, edited, paused, or deleted, and lead response details are never fetched.

Enables AI agents to fetch Xiaohongshu advertising data from Chengfeng, Juguang, and Dandelion platforms via MCP, and supports syncing daily ad reports to Feishu.

An auto-generated MCP server that enables interaction with AWS QuickSight services through the Model Context Protocol. Provides programmatic access to QuickSight's business intelligence and analytics capabilities via the AWS QuickSight OpenAPI specification.

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

Enables users to interact with the Sigma Computing API to analyze documents and manage analytics data via a serverless AWS architecture. It features document search and analytics capabilities with DynamoDB-backed caching for optimized performance.

An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.

Enables Claude to fetch and analyze Meta ad accounts, campaigns, ad sets, ads, and performance insights via the Meta Marketing API.

Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.