"Socket" matching MCP servers:

Stateful outbound TCP/UDP MCP server enabling LLMs to perform multi-step network protocols like HTTP/1.x, SMTP, Redis, and DNS.

Enables AI assistants to control running Neovim sessions via RPC socket, supporting command execution, state inspection, and LSP actions. Automatically discovers Neovim instances and supports multi-instance management on Linux and macOS.

Enables LLM agents to search Regulations.gov federal dockets, retrieve docket abstracts and metadata, and list rulemaking documents, giving read access to federal regulatory data.

MCP server that lets an LLM agent drive StableProjectorz, a 3D modeling app, by inspecting the loaded model, app state, viewport screenshots, and triggering UI actions via a loopback socket bridge.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.

A delegation socket MCP server that enables a driver code agent to hand off subtasks to a cheap local worker (e.g., OpenCode) via a single MCP tool call and pick up results asynchronously without breaking flow.

Enables control of KingstVIS logic analyzers via the Socket API for sample configuration, triggering, data capture, export, and offline analysis including protocol decoding.

Lets agents see and drive a live 3D application session through its addon socket: viewport screenshots, turntable and multi-mode renders, scene and object inspection, arbitrary Python execution, GLB import/export and asset validation, plus rig, pose-deformation and silhouette-likeness checks. This lets an agent visually judge a 3D result instead of guessing.

Deterministic AST deconstruction and runtime circuit breaker preventing rogue shell escapes, dynamic eval(), and covert lateral socket egress in autonomous LLM tool calls.

Enables direct interaction and control of SketchUp through Claude AI using the Model Context Protocol and a TCP socket connection. It allows for prompt-assisted 3D modeling, component manipulation, and the execution of arbitrary Ruby code within the SketchUp environment.

Enables LLMs to read a user-owned, local-first memory store kept in a portable folder (USB, SSD or laptop), with per-profile permissions limiting what each client can see and access cut off when the pocket is locked or unplugged. Also lets models propose new memories for the user to review and approve, keeping provenance and keeping canonical memory free of direct model writes.

Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.

Multi-MCP orchestration hub connecting GHL, Stripe, Shopify, Supabase, and more through a single AI interface, enabling workflow automation and CRM management.

Enables AI agents to control Adobe Lightroom Classic develop settings, manage presets and catalogs, and perform round-trip handoffs with Adobe Photoshop for advanced retouching. Provides native socket bridging for exposure, color grading, search, ratings, keywords, collections, and export workflows.

Enables control of a Rigol MHO98 oscilloscope over VISA (raw TCP socket or USBTMC) through 142 SCPI-backed tools covering acquisition, triggering, measurements, waveform and bus decoding, built-in AWG, display, analysis, and instrument-side storage. Waveform and screenshot data are written to disk with statistical summaries returned, keeping large sample arrays out of the model context.

Enables extracting action items from meeting transcripts and managing them in Notion, with duplicate detection and human review.