"Analysis of March 18th JFK Assassination Document Releases" matching MCP servers:

A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.

This read-only MCP Server allows you to connect to Azure Analysis Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

Allows deployment of a Model Context Protocol server on Cloudflare Workers without authentication, enabling AI models to access custom tools through a standardized interface.

A minimal MCP server with three toy tools (add, echo, current_time) for learning deployment on SAP BTP Cloud Foundry.

Enables AI assistants to interact with the QuantConnect cloud platform for algorithmic trading. Supports creating and managing trading strategies, running backtests, deploying live algorithms, and performing comprehensive trading operations through the QuantConnect API.

Enables sending emails through AWS Simple Email Service with support for single emails, bulk personalized emails, and template management. Deployed on Cloudflare Workers for fast, global edge performance with full TypeScript type safety.

Enables deployment and management of applications on the Citizen platform from git repositories or local files. It allows AI assistants to monitor deployment logs, handle authentication, and automatically fix build errors using intelligent error analysis.

An MCP server that enables automated analysis and conversion of SSIS packages into Azure Data Factory JSON artifacts directly through GitHub Copilot. It streamlines ETL modernization by detecting complex patterns, translating script tasks, and generating production-ready pipelines following Microsoft best practices.

A Model Context Protocol server for Azure CosmosDB database operations that provides 8 tools for document database analysis, container discovery, and data querying.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

Enables diagnostics and troubleshooting of OpenShift clusters through storage analysis, resource monitoring, GPU utilization tracking, and pod health checks using Prometheus metrics and the oc CLI.

A Model Context Protocol (MCP) server for LocalStack that enables management of local AWS development environments, including container lifecycle operations, infrastructure deployments, log analysis with IAM policy generation, chaos injection, and Cloud Pods state management.

Enables AI agents to manage Huawei AppGallery Connect apps, including uploads, releases, reviews, and reports, and to search HarmonyOS official documentation.

Provides read-only monitoring, inspection, and root-cause analysis of Azure Data Factory resources, including factories, pipelines, and pipeline runs, through MCP tools.

Enables AI-assisted analysis and optimization of Cloudflare D1 databases through comprehensive schema introspection, relationship mapping, validation, and optimization recommendations. Demonstrates semantic intent patterns with hexagonal architecture for maintainable database development workflows.

Enables analysis and validation of Terragrunt projects, including dependency mapping, stack structure, and optimization suggestions, directly in IDEs that support MCP.

Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.

An MCP server for the Spot.io API that enables management of AWS and Azure Ocean clusters across multiple accounts. It provides tools for cluster inventory, node management, cost analysis, and scaling operations through natural language.

Enables exploration and analysis of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher APIs to create interactive topology maps. Provides tools for searching resources, discovering relationships, finding connectivity paths, and visualizing complete Azure infrastructure topologies.

Enables large language models to query and operate on Apollo Configuration Center. Supports managing apps, clusters, namespaces, config items, and releases.

Enables Claude Desktop to interact with Kubernetes clusters using kubectl and helm, providing tools for querying pods, services, Helm releases, and analyzing versions.

Enables managing Balena fleets, devices, releases, variables, tags, teams, and organizations from MCP clients, locally over stdio or remotely over Streamable HTTP.

Enables read-only assessment of AWS environments by inventorying resources, running security and operational checks, and generating actionable reports with cost analysis. Designed for contractors with support for assume-role authentication using external IDs.

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

An AI hub for AEC that enables upload, conversion, viewing, analysis, and sharing of BIM models via 46 tools across 5 workers, integrating with Autodesk Platform Services.

Enables AI models to interact with SQLite Cloud databases, supporting SQL queries, schema management, and performance analysis.

Gives AI assistants read access to MDRN's workspaces, projects, products, builds, releases, deployments and logs, plus safe write actions such as deploying a connected repository, rolling back, toggling products and managing service variables and services.

Connects AI assistants to Turbot Guardrails for natural language exploration, analysis, and automation of cloud governance.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.