"CMake" matching MCP servers:

A Gradio-based MCP server for comprehensive CMake project management that enables configuring, building, and testing CMake projects with preset support, error analysis, and LLM-friendly output formatting. Provides both web UI and MCP protocol access for streamlined C++ development workflows.

Enables AI assistants to query the build model of CMake projects across multiple projects and build directories, inspecting targets, sources, compile flags, includes, defines, dependencies, artifacts, install rules, cache variables, toolchains, and exact compiler invocations. It is read-only, relying on CMake File API replies and compile_commands.json without ever running CMake.

Pay-per-call USDC payment proxy for AI agents. Issue scoped Pay Tokens with hard spending caps and auto-journal every charge to freee / Money Forward / QuickBooks.

Audits Make.com scenario blueprints before import, checking for hardcoded secrets, dangling references, plain-HTTP URLs, and other issues. Provides tools to inspect blueprint structure, trace module mappings, and generate a safety findings report.

Connects Claude to Make.com to manage scenarios: list, run, activate/deactivate, and monitor executions.

A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.

The CSPR.trade MCP server provides AI Agents with 14 tools for interacting with the CSPR.trade decentralized exchange on the Casper Network.

Enables Claude Desktop to trigger and interact with Make.com automation scenarios through webhooks. Allows users to execute complex workflows and integrations with third-party services like Google Sheets, Notion, and Slack using natural language commands.

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

Provides full access to the Make.com API, enabling creation, modification, deletion, and execution of scenarios, as well as management of connections, webhooks, data stores, and organizations.

Transform your Make scenarios into callable tools for AI assistants. Leverage your existing automation workflows while enabling AI systems to trigger and interact with them seamlessly.

MCP server that lets MCP clients inspect, create, update, and deploy ChatGPT Sites through a local Codex installation.

apc-mcp is a Model Context Protocol server that brings audio plugin development workflows into any MCP-compatible client by wrapping CMake, ctest, clang-format, pluginval, and clap-validator into a clean tool interface for building, testing, linting, validating, and scaffolding JUCE, CLAP, VST3, and ARA plugin projects.

This server enables AI assistants to discover, parameterize, and trigger Make.com automation workflows configured for on-demand execution. It allows users to execute scenarios and receive structured JSON results, bridging the gap between AI assistants and complex automation ecosystems.

Enables Claude to analyze reference videos (download, transcripts, frames) and generate new branded Instagram Reels/YouTube Shorts as React/TSX compositions, rendered to MP4 via Remotion.

An integration server that allows Claude Desktop to communicate with Make (formerly Integromat) automation platform through the Model Context Protocol, enabling scenario management and execution via natural language.

This MCP server provides integration with Make.com (formerly Integromat) for workflow automation. It is now deprecated and replaced by Make's official cloud MCP.

Enables AI assistants to search 200+ Make.com modules, validate and auto-heal blueprints, and deploy automation scenarios directly to Make.com via API.

Enables AI agents to run predefined Makefile targets as MCP tools, with configurable allow/deny lists and environment variable restrictions, without granting shell or Docker access.

Enables AI assistants to trigger and interact with Make automation workflows by exposing on-demand scenarios as callable tools. Allows AI systems to invoke Make scenarios with parameters and receive structured JSON responses.