Documentdb Mcp Setup
Guide users through installing and configuring the DocumentDB MCP server for Azure DocumentDB. Use this skill when a user wants to wire the DocumentDB MCP server into an agentic client (Claude Code, Claude Desktop, Cursor, Copilot CLI, Gemini CLI, VS Code) and define a `CONNECTION_PROFILES` entry, or when they hit MCP connection / auth / profile errors.
Documentdb Security
Security best practices for Azure DocumentDB — TLS enforcement, Private Endpoint / firewall configuration, Microsoft Entra ID + RBAC for authentication, and customer-managed keys (CMK) for encryption at rest. Use when reviewing production security posture, configuring networking, setting up authentication / authorization, or preparing for compliance audits.
Containerization Assist
TypeScript MCP server for AI-powered containerization workflows with Docker and Kubernetes support
Documentdb Connection
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Documentdb Azure Deployment
Deploy an Azure DocumentDB cluster (`Microsoft.DocumentDB/mongoClusters`) end-to-end — Bicep (primary), Azure CLI one-shot, Terraform, or portal. Covers resource-group creation, cluster parameters (tier, storage, server version, sharding, HA), firewall rule configuration, retrieving the connection string, and teardown. Use when the user asks to provision, create, deploy, or spin up an Azure Docum…
Documentdb Full Text Search
Full-text search best practices for Azure DocumentDB using the `createSearchIndexes` command and `$search` aggregation stage — BM25 keyword scoring, fuzzy search (`maxEdits`), phrase search with `slop`, custom analyzers (keyword + lowerCase + asciiFolding + edgeGram) for prefix / ID matching, `pathHierarchy` tokenizer for hierarchical IDs, multi-field search indexes, and hybrid (BM25 + vector) re…
Documentdb Vector Search
Vector search best practices for Azure DocumentDB using `cosmosSearch` — choosing between DiskANN / HNSW / IVF, creating indexes, tuning `lBuild` / `lSearch` / `maxDegree`, Product Quantization (up to 16,000 dims), half-precision (fp16) indexing, and normalizing embeddings for cosine similarity. Use when building RAG / semantic-search applications, creating a vector index, tuning recall/latency,…
Documentdb Query Optimization
Query and aggregation-pipeline optimization rules for Azure DocumentDB — using `explain("executionStats")` to verify index usage and avoid `COLLSCAN`. Use when reviewing a specific query, diagnosing a slow query, or validating that an index is actually being used. For full index-design workflow, see the `documentdb-query-optimizer` skill.
Documentdb High Availability
High availability, business-continuity, and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA with availability zones (99.99% SLA), adding active-passive cross-region replica clusters (99.995% SLA), and understanding automatic backup retention. Use when designing production topology, planning failover, provisioning DR, picking regions, or reviewing cluster architecture.
Azure Functions Inventory
Use when collecting Azure Functions app specifications/inventory only: resource identity, SKU/plan, runtime, Function App config, network, identity, selected app settings, and function/trigger inventory. Do not use for runtime health, failures, metrics, or telemetry investigation.
Documentdb Sharding
Horizontal sharding (partitioning) for Azure DocumentDB collections — when to shard vs stay single-shard, how to pick a shard key for read-heavy vs write-heavy workloads, the logical/physical shard mental model, scaling out vs scaling up, hot-partition diagnosis, and the `sh.shardCollection` / `sh.reshardCollection` commands. Use when deciding whether to shard a collection, choosing or changing a…
Documentdb Storage
Storage configuration guidance for Azure DocumentDB — when and how to use Premium SSD v2 high-performance storage, IOPS/bandwidth caps that are gated by compute tier (not disk size), Premium SSD v2 limitations (no CMK, migration paths, disk-hydration sequencing), and storage capacity change limits. Use when picking a storage type at cluster creation, sizing for I/O-intensive workloads, migrating…
Aks Mcp
A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.
Azure Functions Templates Mcp Server
Azure Functions Create Triggers Bindings MCP Server for Azure Functions Samples and Templates
Mcp Kubernetes
A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes
Azure Functions Create
Scaffold a new Azure Functions project with language and template selection
Documentdb Query Optimizer
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Azure Functions Health Status
Use when investigating current Azure Functions app status and health: Running/Stopped state, Resource Health, plan status, Azure Monitor metrics, Application Insights/Log Analytics requests, failures, exceptions, traces, dependencies, and recent Activity Log. Do not use for static inventory-only requests.
Azure Functions Diagnostics
Use when diagnosing or resolving Azure Functions issues: deployment failures, runtime errors, trigger/binding failures, language worker issues, telemetry/log analysis, known issue research, source investigation, and remediation. Acts as a facade that routes to focused Azure Functions skills and small language/extension references.
Azure Functions Doctor
Analyze local Azure Functions workspace code and configuration for common issues. Produces structured JSON findings for integration with the doctor CLI command. This skill targets local workspaces only — use azure-functions-diagnostics for deployed Azure resources.
Data Api Builder
Data API builder provides modern REST, GraphQL endpoints and MCP tools to your Azure Databases and on-prem stores.
Azure Functions Common
Shared Azure Functions reference material for the Azure Functions skill suite: runtime/language routing, trigger/binding extension references, official docs and repository pointers. Use only when another Azure Functions skill needs reusable language or binding context. Not intended as a standalone user-facing workflow.
Azure Functions Best Practices
Use when reviewing an existing Azure Function App against Azure Functions best practices and proposing safe, approval-gated remediations for runtime, configuration, identity, security, observability, performance, scale, cost, triggers, and bindings.
Azure Functions E2e Tests
Use in Agent mode when designing, running, or reporting real end-to-end tests for Azure Functions Skills across GitHub Copilot, Claude Code, and Codex plugin/setup/chat flows.
Azure Functions Setup
Verify prerequisites and set up your environment for Azure Functions development
Azure Functions Deploy
Proxy Azure Functions deployment requests to the Azure Skills prepare, validate, and deploy workflow while preserving Azure Functions-specific guidance
Amg Check Azure Spend
Monthly Azure subscription cost analysis — lists all accessible subscriptions, lets the user choose which to analyze, then queries last billing month's cost breakdown by resource type, region, and service category for each subscription. Queries subscriptions sequentially with 1-minute waits between calls to avoid billing API rate limits (429). On first run, auto-discovers datasource UID.
Azure Native Isv Mcp
This repository contains a Remote Model Context Protocol (MCP) Server implemented using Azure Functions, built for enabling tooling support across Azure Native ISV Integrations. It includes MCP tools for Azure-integrated partner services listed under Azure Partner Solutions
Amg Check Key Vault
Fleet-wide Azure Key Vault health check — pulse check for availability, API latency, throttling (429s), auth failures (401/403), and vault saturation across all vaults, then deep-dives into the top 7 most interesting vaults with metrics and resource logs. Tracks known issues across sessions via persistent report. On first run, auto-discovers datasource UID and prompts for subscription ID.
Ai Foundry Isv Mcp Agent
AI Foundry Agent with ISV Partner MCP Server integration
Amg Check Cosmosdb Mongo Ru
Fleet-wide Cosmos DB for MongoDB (RU) health check — scans NormalizedRU consumption, service availability, server-side latency, throttling (429s), and replication metrics across all accounts, then deep-dives into abnormal accounts with resource logs and correlation analysis. Tracks known issues across sessions via persistent report. Uses AMG-MCP pulse check for Tier 1 triage, then batched Azure M…
Documentdb Local Deployment
Best practices for running Azure DocumentDB locally for development — choosing between the Gateway Docker image and the psql-only image, docker-compose setup, connection config (port 10260, TLS, SCRAM-SHA-256), env-driven configuration, sample-data management (`SKIP_INIT_DATA` / `INIT_DATA_PATH`), port bindings, and dev/prod parity via versioned seed and schema scripts. Use when setting up a new…
Blue Bridge
Sample prompts and recipes for using Model Context Protocol (MCP) server to query and manage Azure resources — scenarios include Azure Managed Grafana, Azure Data Explorer (Kusto), Azure Resource Graph, Azure Resource Manager and more.
Amg Check Pg Flex
Fleet-wide PostgreSQL Flexible Server health check — scans CPU, memory, storage, IOPS, disk bandwidth, and connection metrics across all servers, then deep-dives into abnormal servers with resource logs and correlation analysis. Tracks known issues across sessions via persistent report. Uses AMG-MCP pulse check for Tier 1 triage, then batched Azure Monitor queries for Tier 2 investigation. On fir…
Documentdb Driver
MongoDB driver and SDK best practices for Azure DocumentDB — singleton `MongoClient`, connection reuse, connection-pool fundamentals. Use when writing code that instantiates a MongoDB client, reviewing driver initialization, or diagnosing connection-related bugs. For full connection-pool tuning (serverless vs OLTP vs OLAP, timeouts, retries), see the `documentdb-connection` skill.
Documentdb Natural Language Querying
Generate read-only DocumentDB/MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate queries for Azure DocumentDB, wants to filter/query/aggregate data, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping documents. A…
Documentdb Indexing
Index-type selection and shape guidance for Azure DocumentDB — when to use single-field, compound (ESR), multikey, wildcard, hashed, 2dsphere, TTL, and vector indexes; query-pattern → index-shape cookbook; per-collection index budget; DocumentDB-specific preference for `textSearch` over community `$text`. Use when designing or reviewing indexes, choosing an index type for a query pattern, or deci…
Amg Check Storage Account
Fleet-wide Azure Storage Account health check — pulse check for availability, latency, transactions, and error rates across all accounts, then deep-dives into the top 7 most interesting accounts with metrics (E2E latency, server latency, capacity, ingress/egress) and resource logs. Tracks known issues across sessions via persistent report. On first run, auto-discovers datasource UID and prompts f…
Documentdb Data Modeling
Data modeling patterns for Azure DocumentDB — embed vs reference, 16 MB document limit, denormalization for read-heavy workloads, schema versioning. Use when designing new schemas, reviewing existing data models, migrating from SQL, deciding between embedding and referencing, modeling one-to-one / one-to-many / many-to-many relationships, or troubleshooting document-size and query-performance pro…
Documentdb Monitoring
Monitoring and diagnostics best practices for Azure DocumentDB — enabling diagnostic settings and slow-query logs, analyzing them in Log Analytics, and alerting on CPU / memory / IOPS / storage / connection saturation per cluster tier. Use when setting up observability on a new cluster, investigating production incidents, or tuning alert thresholds.
Azure Functions Agents
Build, scaffold, extend, deploy, and troubleshoot event-driven AI agents and scheduled serverless agent apps on Azure Functions using azurefunctions-agents-runtime. Use when the user wants a scheduled agent, morning briefing, daily digest, timer agent, inbox summary, email or Teams briefing, background AI workflow, connector-triggered agent, event-driven AI automation, HTTP/chat agent, webhook-st…
Azure Functions Feedback
Turn session findings into previewed issues or pull requests for the Azure Functions skills repository
Azure Mcp
The Azure MCP Server, bringing the power of Azure to your agents.