MCP servers and skills: search, filter by where they run, and compare.
Use this when scaffolding a new Terraform provider with the Plugin Framework: workspace layout, go module setup, provider server main.go, and a provider.go with schema and Configure. Also use when a u
OfficialSkillMPL-2.0★ 894 in collectionNo key
Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins
in the readmeDesktop ### A modular desktop workspace for AI agents **Bring projects, agents, models, plugins, and workflows into one persistent desktop environment.** Local-first · Model-agnostic · Plugin-powered
SkillLGPL-3.0★ 6.8kNo key
HashiCorp's MCP server for Terraform Registry providers and modules, plus HCP Terraform and TFE workspaces.
OfficialDockerMPL-2.0★ 1.5kNeeds HashiCorp Terraform Registry and HCP Terraform
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
in the readmetable, or view) and its name. All eight tools also accept optional `workspace` and `materialized_view_id` arguments to scope a single call; when neither
PythonMPL-2.0★ 37Needs a key
MCPR enables AI agents to participate in interactive R sessions for professional analysis workflows.
in the readmeestablish persistent, interactive sessions within a live R environment, thereby preserving workspace state and enabling complex, multi-step analytical workflows. MCPR Demo ## Quick Start Get
SkillCC-BY-SA-4.0★ 27No key
This is the official repository of Keyshade MCP Server
in the readmeserver, you need to create or modify the `.vscode/mcp.json` file in your workspace. This file contains the settings for the MCP server, including the command
Node.jsMPL-2.0★ 9No key
One place to manage & connect to all your MCP servers
in the readmeMCP server config: ```json { "name": "affine-main", "transport": "streamable_http", "description": "AFFiNE workspace MCP server", "url": " "bearer_token": "${AFFINE_API_TOKEN}", "headers": { "X-Workspace": "${AFFINE_WORKSPACE
GoMPL-2.0★ 1.3kNo key
A collection of skills designed for Claude to streamline processes and reduce token-use
in the skill textv24), supports `nvm use` - Yarn 4 (via Corepack) ### Installation ```sh yarn install ``` ### Workspace commands This is a Yarn workspaces monorepo — each skill under `skills/` is its
SkillMPL-2.0★ 1Few starsNo key
Run one shared MCP server daemon per workstation — instead of each client (Claude Code, Codex CLI, Gemini CLI, Cursor, ...) spawning its own redundant stdio process. Windows-first hub with systray GUI
in the readmemanifests. `mcphub install --all` installs the 17 global servers; `mcp-language-server` is workspace-scoped and is materialized through `mcphub register`. The table below highlights
Node.jsMPL-2.0★ 2Few starsNo key
CLI-first, deterministic architecture intelligence. Builds an offline model of your repo to answer impact, cycles, dead code, duplication and security, and enforces your architecture as a contract in
in the readmethe architecture you already follow (Feature-Sliced, bulletproof-react, Clean/Hexagonal, an Nx workspace) and writes the file bound to your real folders. Or `ovecc architecture init
Node.jsMPL-2.0★ 3Few starsNo key
in the readmeneeded. You can either: 1. Open the `.env` file in the `sancho-workspace` folder and paste your key there; or 2. Ask your AI to open
PythonMPL-2.0Few starsNo key
Model Context Protocol server that lets an AI assistant drive the FerrLabs suite through the unified API.
in the readmestatus`, `cancel_site_seo_audits` | queued bulk audits for one site | | `run_workspace_seo_audits`, `get_workspace_seo_queue_status`, `get_workspace_seo_overview` | queued bulk
Node.jsMPL-2.0Few starsNo key
Who stands behind it
Who stands behind it
