"Getting Help with GitHub Actions Workflow Coding" matching MCP servers:

Enables Claude Code to browse, create, edit, and publish Pulse workflows by exposing workflow operations as MCP tools.

Enables AI assistants to search codebases by meaning using local AI embeddings, manage indexing and caching, switch workspaces, check server status, and look up latest package versions across multiple ecosystems.

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

Enables AI assistants to search a codebase by meaning rather than exact keywords by indexing files with local AI embeddings, alongside package-version lookup and index management tools. It supports incremental, resource-throttled indexing across multiple workspaces and IDE integrations.

Enables AI assistants to perform intelligent semantic code search across a codebase using local AI embeddings, with tools for reindexing, cache management, workspace switching, package version lookup, and status checks.

Enables AI assistants like Claude Code and Cursor to get evidence-based tool and workflow recommendations from community data.

Enables AI assistants to search code by meaning using local AI embeddings, and provides package version lookup, reindexing, cache management, workspace switching, and server status tools.

Enables AI coding assistants to find relevant code by meaning through local AI embeddings and an indexed codebase, so searches work even when terminology differs. It also supports package-version lookup, reindexing, cache management, workspace switching, and server status checks.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, with tools for indexing, cache and workspace management, status checks, and latest package-version lookup.

Enables AI assistants to search codebases by meaning using local AI embeddings, and also provides package version lookup, indexing, cache management, workspace switching, and server status tools.

This MCP server bridges to the Tuba.ai platform, enabling programmatic control of AI vision workflows through callable tools such as running workflows, checking status, fetching results, and updating workflow blocks.

Enables AI assistants to search codebases by meaning rather than keywords, using locally generated AI embeddings to surface relevant code even when terminology differs. It also provides package version lookups across 20+ ecosystems, plus tools for reindexing, cache clearing, workspace switching, and server status checks.

Enables AI assistants to perform semantic code search across a local codebase by meaning rather than exact keywords, using local AI embeddings with flexible dimensions. It also provides indexing, cache management, workspace switching, package version lookup, and server status tools.

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, so they can find relevant code even when terminology differs, while also offering package version lookup, indexing, cache, workspace, and status tools.

Enables coding-plan users to run AI-powered web searches and analyze images from URLs or local files, integrating these capabilities into MCP clients for enhanced code development workflows.

Enables users to run AI-powered web searches and analyze images through MCP clients, returning structured search results and image insights tailored for coding workflows.

Enables coding-plan users to perform AI-powered web searches and image analysis through MCP clients, returning structured search results and extracting information from images to support development workflows.

Exposes the workflows saved in a ComfyUI server (local, remote, or vast.ai) as MCP tools, letting agents list them, inspect their inputs, and run them with their own prompts, images, seeds, and per-run node toggles. It also reports server/GPU status, tracks and downloads job outputs, and uploads images or browses model folders.

Enables coding-plan users to perform AI-powered web searches and image analysis through MCP clients for code development workflows.