Packages

pycspemcpserver appears to be an MCP (Model Context Protocol) server implementation in Python for CSP-based content/policy (exact functionality not provided in the prompt).

q-workspace-mcp-server is an MCP server package intended to expose functionality around a “q workspace” to AI agents via the Model Context Protocol, enabling agents to query and/or operate on workspace-related resources.

recursor-mcp-server is an MCP server package intended to expose Recursor-related capabilities to AI agents via the Model Context Protocol (MCP).

An MCP (Model Context Protocol) server package intended to expose “submagic” capabilities to AI agents via MCP tooling. (Exact tools, endpoints, and behavior were not provided in the supplied content.)

system-info-mcp-server exposes system environment information (e.g., host/OS and runtime details) via an MCP server so an AI agent can retrieve it through tool calls.

MCP server package (vefaas-function-mcp-server) that likely exposes “function” capabilities to an MCP-compatible agent runtime. Specific tools, schemas, authentication, and endpoints are not provided in the prompt content, so exact behavior cannot be confirmed from available data.

MCP server wrapper intended to expose VMware Workstation Pro functionality/tools to an AI agent via the Model Context Protocol (MCP). Enables agent-driven workflows around a local VMware Workstation Pro environment (e.g., inspecting/controlling VMs) through MCP tools.

young-mcp-server is an MCP server package intended to expose tool(s) to AI agents via the Model Context Protocol. (Exact tools/endpoints and configuration cannot be determined from the provided input.)

youtubeinsights-mcp-server is an MCP (Model Context Protocol) server intended to provide AI agents access to YouTube-related insights/data. It likely exposes MCP tools that let an agent query analytics/insights for YouTube channels/videos, but the provided prompt includes no README/repo contents to confirm specific endpoints, tool names, parameters, or authentication flow.

Kaimon.jl is a Julia package for computing/using monads and related functional programming abstractions (e.g., monadic operations and transformer-style composition) in the Julia ecosystem.

An MCP (Model Context Protocol) server that likely provides calculator/evaluation capabilities (e.g., arithmetic expression evaluation) to an MCP-compatible agent.

mc-server is a package that provides an MCP (Model Context Protocol) server for connecting an AI agent to some underlying capabilities. However, no README/repo contents were provided here, so the specific tools/endpoints, auth approach, and operational characteristics cannot be verified from the given data.

Provides MCP (Model Context Protocol) support for Nuxt/Vite development by exposing a local MCP server that helps models understand the developer’s Nuxt/Vite app during development.

polardb-mysql-mcp-server is an MCP (Model Context Protocol) server that exposes tools for working with PolarDB MySQL, enabling an LLM/agent to execute database-related operations via MCP tool calls.

A Rust example MCP (Model Context Protocol) server using SSE transport, with a simple registered tool (Add) and a demo client that initializes and lists tools, then integrates with a RIG agent to prompt an LLM using the MCP tool.

MCP-focused server package intended to expose tools to AI agents via the Model Context Protocol (MCP). Specific tool surface, configuration, and docs were not provided in the prompt, so evaluation is based only on the package name/repo identifier.

The package provides an MCP (Model Context Protocol) server that connects an AI agent to Siemens graph-related capabilities, enabling the agent to query or manipulate Siemens graph/knowledge data through MCP tools.

MCP (Model Context Protocol) server implementation for exposing a “workflow” capability to AI agents via MCP tools. Provides an agent-accessible interface so the agent can invoke workflow-related operations through MCP.

An MCP (Model Context Protocol) server intended to integrate “ZMP alerts” into an MCP-capable agent workflow, exposing alert-related capabilities via MCP tools/endpoints.

An LLM-first, agentic SEO analysis skill for Antigravity, Claude Code, and Codex. It orchestrates multiple specialist sub-skills (technical SEO, content/E-E-A-T, performance/CWV, schema, sitemap, visual checks, links, GEO/AEO, entity SEO, hreflang, programmatic safeguards, plus GitHub repo SEO/benchmarking) to collect evidence from target URLs (and optionally run verification scripts) and generate structured audit outputs and prioritized action plans.