"GSK" matching MCP servers:

Lets Claude Code conduct long, structured interviews via a keyboard-driven local web form, with unlimited questions and options, recommendations, ranking, previews, and live follow-up questions.

Enables Oracle Database schema introspection and SQL execution over stdio, letting MCP hosts list tables, describe columns, and run SQL—read-only by default with opt-in writes.

Enables MCP clients to send raw text prompts to inexpensive LLM models via the Devin/Windsurf backend, returning answers in result files to avoid context bloat, with support for multi-turn sessions and model discovery.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

A server that provides access to Google Search Console data through the Model Context Protocol, allowing users to retrieve and analyze search analytics data with customizable dimensions and reporting periods.

Enables users to query search performance, indexing, sitemaps and properties in plain language from any MCP client, returning worked-out analysis such as cannibalization, striking-distance keywords and decaying pages, with multilingual query variants merged so totals are correct. It also syncs data to a local store for history beyond Google's 16-month limit, including a 24-hour view, hourly data and timezone-adjusted days.

Provides an interactive user interface for asking questions with support for text inputs, single/multi-select options, and confirmation dialogs. It allows LLMs to gather structured input or feedback from users through a set of predefined input types.

Provides a template for building an MCP server with example tools, prompts, and resources, enabling developers to create a server that exposes data and actions to AI clients.

MCP server for the GSD (Get Shit Done) lifecycle framework. Exposes GSD project state, phases, milestones, and commands as MCP tools and resources.

Python MCP server for Oasys GSA COM API, enabling users to interact with GSA structural engineering software via COM automation on Windows.

Enables users to request a second opinion from a locally authenticated Claude Code model via MCP tools, supporting asynchronous jobs with restricted tools for safety.

Connects Google Search Console to MCP clients to query search analytics, manage sitemaps, and perform URL inspections. It enables users to identify SEO opportunities and generate performance reports through natural language interactions.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports downloading assets from Poly Haven and generating 3D models through Hyper3D Rodin.

MCP server that enables Claude to pause and ask clarifying questions via Emacs.

Enables AI assistants to request human input through a web interface during execution. Supports single questions, multiple choice selections, hypothesis challenges, and decision workflows for human-in-the-loop interactions.

MCP server for GStreamer introspection and pipeline development. Enables LLMs to understand GStreamer elements, caps, and construct pipelines through natural language queries.

A TypeScript Model Context Protocol server that provides 21 tools for interacting with the Google Search Console API, enabling search analytics, URL inspection, sitemap management, and more through AI assistants.

Provides a single MCP endpoint that dynamically discovers, routes, policy-checks, and executes hundreds of MCP tools from any agent, with optional LLM-based routing.