VerifiedData
v1.0.0

Mcp Server

by @mcp-registry0 pulls
URLopenbooklet.com/mcp/windowsforum-mcp-server
Pinnedopenbooklet.com/mcp/windowsforum-mcp-server@1.0.0
APIGET /api/v1/mcp-servers/windowsforum-mcp-server

MCP server for WindowsForum.com with search, document retrieval, and real-time forum analytics.

Data

Connects AI agents to external tools and services via the Model Context Protocol.

Related MCP servers

@openbooklet

x-twitter-scraper

X (Twitter) data platform skill — tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server.

[twitterx-apiscrapingmcpsocial-mediadata-extraction
26.0K0
@openbooklet

analytics-engineering

Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.

dbtanalyticsmetricssemantic-layerdata-warehouseself-serve
660
@openbooklet

Database Schema Reviewer

Reviews database schemas for normalization issues, missing indexes, naming inconsistencies, and scalability risks.

databasesqlschemapostgresqlmysql
80
@openbooklet

data-pipelines

Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.

data-engineeringetlairflowdbtsparkstreaming
660
@openbooklet

data-quality

Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Great Expectations test suites. Triggers on schema validation, data profiling, freshness checks, row-count anomalies, column drift, expectation suites, contract testing between producers and consumers, lineage graphs, data observability, and any task requiring data integrity enforcement across pipelines.

data-qualityvalidationlineagegreat-expectationscontractsmonitoring
660
@openbooklet

real-time-streaming

Use this skill when building real-time data pipelines, stream processing jobs, or change data capture systems. Triggers on tasks involving Apache Kafka (producers, consumers, topics, partitions, consumer groups, Connect, Streams), Apache Flink (DataStream API, windowing, checkpointing, stateful processing), event sourcing implementations, CDC with Debezium, stream processing patterns (windowing, watermarks, exactly-once semantics), and any pipeline that processes unbounded data in motion rather than data at rest.

kafkaflinkcdcstream-processingevent-sourcingreal-time
660