"Travis CI" matching MCP servers:

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Developed by Mammoth Growth.

Local CI/CD engine for AI agents. ActionD listens to LGH git events and runs plugin jobs (Go/Python/Java/web toolchains) in isolated checkouts, with structured results, root-cause failure diagnosis, approval gates, and auto-rollback. The MCP server exposes 23 tools, including dev_cycle_run (commit → CI → structured verdict in one call) and actiond_diagnose for failed-job analysis.

Wraps Anthropic Claude Code CLI as tools, allowing MCP clients to invoke headless Claude Code sessions.

Enables AI agents to browse tasks, open sandboxed repository copies, run shell commands, and diagnose CI failures through typed MCP tools.

Remote-control Unity Editor from any AI IDE via file-based IPC — 62 tools, zero dependencies

Enables asynchronous and parallel execution of Gemini CLI tasks within Claude Code, allowing background task management and multi-instance parallelism.

Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.

Enables AI agents to observe and control a browser-based 2D robot simulator, including driving, configuring sensors and modules, running programs, and generating wiring, firmware, and parts lists for ESP32, Arduino Uno, or Raspberry Pi.

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.

An MCP server that enables running CLI for Microsoft 365 commands through GitHub Copilot Agent, allowing users to interact with Microsoft 365 services using natural language.

It enables AI assistants to create and modify NX models, inspect geometry, run NX Open journals, and verify results via returned volume, bounding box, and screenshots.

Model Context Protocol servers for Angular CLI

A lightweight MCP server that enables AI agents to perform deep codebase analysis by leveraging Gemini's massive context window for cross-file analysis and intelligent file selection.

Provides emergency coding assistance by querying three AI coding models simultaneously through OpenRouter, with automatic premium fallback on rate limits, returning multiple expert opinions with cost and latency telemetry for debugging and problem-solving.

Enables IDE agents like Cursor and Windsurf to orchestrate kiro-cli with advanced session management, process pooling for 10x faster responses, and multi-project workflow support through isolated contexts.

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

MCP Server for Buu AI

A local MCP server that enables agents to perform symbolic math, unit-aware physics calculations, numerical simulation, PDE solving, statistics, time-series and survival modeling, signal and wavelet analysis, optimization, plotting, data-file IO, and arbitrary Python execution. It exposes 65 fixed tools with a uniform JSON result envelope, writing large results and figures to a configurable local output directory.

MCP server for editing OMRON CX-Programmer ladder logic projects, supporting sections, rungs, symbols, and program validation via natural language.

Enables code execution and compilation through the Judge0 CE API, supporting multiple programming languages with submission management, status checking, and language configuration retrieval.

Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.

Allows users to integrate their custom Quickchat AI Agents into various AI applications (Claude Desktop, Cursor, VS Code, etc.) through the Model Context Protocol, enabling AI-to-AI interactions.

A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.

MCP server for AI-driven CAD operations, enabling parametric modeling, build, inspection, measurement, rendering, and diff comparison with STEP, DXF, and GLB export.

A template repository for building Model Context Protocol (MCP) servers with TypeScript, featuring full TypeScript support, testing setup, CI/CD pipelines, and modular architecture for easy extension.

MCP server for secure, session-based Python code execution in Docker containers, enabling LLM applications to run code, manage state, and access files.

Enables AI to directly control Cheat Engine for process attachment, memory scanning, reading/writing, address list management, speed hack, Lua/Auto Assembler execution, and CT file management via the MCP protocol.

Exposes Gemini CLI's built-in tools and external MCP proxies through a unified MCP endpoint while providing an OpenAI-compatible API for Gemini models. It features configurable security modes to safely manage file system operations, web searches, and shell command execution.

Bridges any MCP agent to Cheat Engine 7.x so it can attach to processes, read and write memory, disassemble code, scan for AOB patterns, execute Auto Assembler scripts and Lua, inject DLLs, and control speedhack. Exposes 17 tools over stdio or local HTTP with configurable permission profiles ranging from read-only to full execution.

Exposes Vercel AI SDK Core capabilities (generateObject, generateText, streamText, UI generation) to AI development environments like Cursor, designed to work in orchestration with other MCP servers for multi-step AI workflows.

Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.

Bridges a Roblox executor's DEX explorer with an AI client so the AI can see which instance the user has selected and, conversely, select, highlight, or inspect instances inside DEX on the user's behalf. It also exposes execution, inspection, remote-spy, and GUI tools to drive the live Roblox client over a local WebSocket bridge.

An MCP server that exposes 252 algorithms from Knuth's TAOCP to AI agents, with safety guards and structured outputs for tasks like combinatorial generation, SAT solving, number theory, string analysis, graph algorithms, and symbolic math.

Enables delegating coding tasks to sandboxed agents, returning changes as auditable diffs for human review before applying or discarding them.

Exposes Sylvan's MCP tools to a Pi coding agent, enabling management of spaces and developer shells.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

An MCP server that allows Claude Code to interact with the OpenAI Codex CLI.

A Model Context Protocol (MCP) server that supports STDIO, SSE and Streamable HTTP protocols for AI model interactions.

MCP server for portable context management across AI assistants, providing tools to store and retrieve persistent context, instructions, and execute sandboxed bash commands with automatic git commits, using OAuth 2.1 and magic link authentication.

Enables comprehensive codebase analysis using Google's Gemini AI through CLI integration. Provides architectural reviews and targeted code analysis with code2prompt integration for efficient context extraction.