"GoCD" matching MCP servers:

Enables MCP clients to read GoCD pipeline, stage, agent, and artifact state, and to trigger, pause, or unpause pipelines via GoCD's REST API with compact, context-lean responses.

Enables AI assistants to query and manage GoCD pipelines, stages, and jobs through the Model Context Protocol. It allows users to trigger builds, analyze failures, and access build logs or artifacts using the GoCD REST API.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

Enables managing Docker containers (run, list, stop, remove, view logs) through Claude Desktop using natural language commands.

Exposes an agent skill, reference guides, and Blender Python script templates over stdio so AI agents can follow a structured modeling workflow and retrieve validation/export resources. It does not itself control a live Blender scene and must be paired with a separate Blender-control MCP server for live operations.

Cross-tool AI memory engine providing 25 MCP tools for semantic memory, session guard, trace auditing, and proactive IDE interception, all locally without API keys.

Provides persistent architectural memory and structural cognition for AI coding agents, enabling efficient orientation, graph-aware context, and drift detection across codebase evolution.

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Enables reading and searching API documentation from YApi instances, allowing AI models to access interface definitions, project API lists, and search through API endpoints using YApi URLs or project IDs.

A comprehensive MCP server for professional trading operations with Alpaca, providing 31 tools for account management, market data, order execution, custom strategy execution, and advanced portfolio analytics with intelligent position classification.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.