"Travis CI" matching MCP servers:

Enables AI agents to control monitor settings (brightness, contrast, input source) via DDC/CI protocol, with support for MQTT integration.

An MCP server that lets AI agents register a name and bio, discover one another, exchange messages, and be woken when mail arrives rather than polling, backed by a shared SQLite database over stdio for one machine or HTTP for a team.

Discover which MCP servers can interact with real-world entities like restaurants, hotels, and salons by querying the Dock AI registry using domain names.

Enables Codex CLI to delegate tasks to file-based specialized agents with isolated execution, auditability, and CI-friendly validation.

Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

A secure Model Context Protocol server that enables Claude Code to connect with OpenAI and Google Gemini models, allowing users to query multiple AI providers through a standardized interface.

Enables durable, evidence-backed deliberation and Decision CI by running multi-stage model protocols with detached worker processes, persistent jobs, and SQLite-stored decisions, evidence, outcomes, and quality metrics.

Enables Claude Code to delegate narrow coding and research jobs to a pi coding agent backed by an Ollama model, with background execution, polling, sandboxed write jobs, and verification artifacts.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.

MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.

An interface that allows developers to interact with ChatCBI LLM through AI Agents, providing access to CB Insights' conversational AI capabilities.

MCP Server for Buu AI

Exposes a Ratel tool catalog over MCP with two tools (search_tools and invoke_tool), and includes a CLI for managing multi-scope MCP configurations, OAuth flows, and telemetry.

A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.

MCP orchestrator that loads modular bricks on demand, reducing AI agent context usage by ~65%.

An MCP bridge for the Pi coding agent running in WSL, enabling task execution, research, review, and session management through MCP.

Exposes a local DeepSeek Harness instance to external MCP clients over Streamable HTTP, legacy HTTP+SSE, or a stdio bridge. Enables creating sessions, running multi-turn conversations, reading and full-text searching history, cancelling running turns, and listing or selecting models.

Exposes a real, visible Electron browser to agents through 17 browse_* tools so they can navigate pages, read them as a structured semantic tree (role/label/value/states/actions), and click or type by element id — no screenshots, OCR, or coordinate guessing — with humans able to take over the same window at any time.

Serves coding agents the annotations users leave on elements of a running dev app, including the element selector, DOM context, component name and exact source file:line. Agents can list and watch for pending feedback, link a page to their repository, and acknowledge, reply to, resolve or dismiss each annotation so the thread resolves on the page.

Enables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.

Enables MCP agents to drive a running web application by registering schema-validated actions and using a WebSocket relay, with ten ui_* MCP tools for invoking actions, reading state, screenshots, and tab management.

Enables interaction with OpenClaw agents via MCP, supporting natural language queries and session management.

A TypeScript ESM MCP server exposing 20 public instruction tools and 7 utility tools, backed by 102 internal skills across 18 domain families — from requirements discovery and code quality through governance, resilience, and physics-inspired analysis.

Enables cross-session memory, weighting, and factory/PR/artifact linking for CIC agents, aggregating multiple sessions to identify promotion candidates.

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.

Self-hosted AI orchestrator that monitors and manages homelab services, exposing them as MCP tools for LLMs to drive.

Enables developers to host an MCP server over Streamable HTTP on Node with corrected response framing, client elicitation capability reporting, and lightweight SSE parsing for progress and mid-stream elicitation events.

Enables starting, monitoring, stopping, and resuming detached agent runs with per-pool concurrency limits and run history.

Enables AI clients to discover, inspect, and run 2,000+ AI models and APIs through MCP, with free data APIs, OAuth sign-in, and rollback.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables real-time communication and shared vector memory between Claude Code, OpenAI Codex CLI, and Google Gemini CLI. It allows different AI platforms to exchange messages, share context, and collaborate through a unified MCP interface.

MCP server that coordinates multiple AI specialists (SQL database, document RAG, and web research) using LangGraph, routing each question to the relevant agents and synthesizing their responses into a single answer with honest confidence flags.

Enables running and supervising pi coding agents over RPC, with hot resume, cold resurrection from session files, sandboxed execution, lifecycle counters, and log/artifact inspection.

Enables multi-agent coordination for Claude Code and Claude.ai through file-based JSON communication, eliminating the human bottleneck of message relaying.

A Python MCP server on Cloudflare implementing the stateless MCP 2026-07-28 protocol, enabling load-balanced and scalable tool execution without session affinity.

Enables MCP hosts to spawn, send input to, wait for, resume, and close provider-backed child agent sessions across Codex, Claude, and Grok adapters with configurable role presets, though it is experimental and not production-ready.

Bridges Cline to an AI agent system through the Model Context Protocol, enabling message sending, session management, and assistant switching for seamless interaction with AI agents.