"osu!" matching MCP servers:

Enables Codex to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited, idempotent progress events backed by a matching project-record Git commit. Access is scoped to one workspace and project via short-lived, revocable, hash-stored credentials that cannot reach members, keys, deletion, publication, or deployment.

Enables MCP clients to read a project's Git-backed kickoff, acceptance criteria, handoff package, progress, and next step, and to append validated, audited progress events as project records. It provides short-lived scoped credentials and fail-closed tool allowlisting for safe, resumable AI-assisted development.

Read-only MCP server that exposes the agentic-os governance, SDLC, and Quality Engineering methodology to any MCP host. It never writes to your repository and never executes code — it serves the methodology, plans an install, and verifies it, handing any commands back to the host to run.

Provides a JSON-RPC MCP server that exposes policy-governed agent tools, including paid tools, tool muxing, and OpenAPI-to-MCP conversion, enabling agents to discover, coordinate, and execute tasks within the ProtoOS ecosystem.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Provides AI ingress governance by masking prompts, classifying risk, and enforcing tool policies before agent calls reach model providers or sandboxes.

Enables AI agents to create, execute, and analyze workflows on a Conductor instance through natural language.

A Model Context Protocol (MCP) gateway for running Claude Code, Codex, Gemini, Grok, and Mistral (Vibe) CLIs from one MCP endpoint, with durable async jobs, session continuity, cache-aware prompting, observability, and personal-appliance setup tooling. Why developers try it: one local MCP endpoint for cross-LLM validation, multi-agent coding workflows.

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.

Turns Claude Code into a self-driving AI company with autonomous CEO, agent teams, and self-improvement capabilities.

Enables parallel agent tasks on disposable Arch Linux drones by providing a local stdio gateway for batch job submission, status monitoring, log retrieval, artifact fetching, and cancellation across SSH-connected runners.

Provides a bridge between AI assistants and VRChat, enabling AI-driven avatar control and interactions in virtual reality environments through the Model Context Protocol.

MCP bridge server for patchwork-os. Boots a stdio-HTTP bridge with MCP introspection over /mcp, supporting tools/list and the full MCP protocol over HTTP.

An MCP server that allows Claude models to use Union tasks, workflows, and apps as tools in conversations.

Integrates Base44 data management, Theta GPU compute and blockchain, and Wave OS intelligence into a single MCP server, enabling AI assistants to perform CRUD, AI inference, smart contract operations, and agent orchestration.

A personal agent control harness that governs AI agents by checking every consequential action against user-defined rules, logging all actions to a tamper-evident audit chain, and providing a global kill switch. It runs as an MCP server sidecar to coding agents or standalone, keeping users in charge of what their agents can do.

An open-source MCP gateway for AI operators, connecting any LLM to a hot-reloadable connector registry with production-grade approval gates and a built-in control plane for session management.

Enables MCP clients to retrieve Telegram setup plans, normalize task briefs, and run health diagnostics locally without exposing shell access or stored credentials.

A Cloudflare Workers-based deployment that implements the Model Context Protocol, allowing AI models to use custom tools without authentication.

Foundational MCP/A2A-native core platform for secure credential injection, native x402 micropayments, and Agent-to-Agent routing.

Governance kernel for AI agents — policy enforcement, code safety verification, multi-model hallucination detection (CMVK), trust attestation (IATP), and immutable audit trails. Works with Claude Desktop, Cursor, and any MCP client.

Enables agents to complete supported search, extraction, summarization, translation, and classification tasks by choosing an eligible provider, tool, or MCP route, executing it, applying bounded fallback when appropriate, and recording the outcome.

Enables LLMs to interact with the Blocksworld Simulation to perform block manipulation actions, query real-time state, and verify multi-step plans. It bridges the Model Context Protocol with the simulation's REST API for AI planning research and agent development.

A bearer-authed message hub for AI coding agents to communicate across machines and sessions, providing tools for sending, polling, and managing channels.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Lets fleets of long-lived Claude Code sessions coordinate over named channels backed by SQLite, exchanging schema-validated, role-scoped messages that survive restarts, gate actions behind human approval, and leave a queryable audit trail.

Enables AI clients to compose and execute marketing campaigns by mapping free-form intent to a deterministic plan of over 1,000 production-tested skills, supporting multiple workflows across paid ads, SEO, content, and more.

An MCP server that gives AI agents faithful control of real, logged-in Chrome profiles via a secure local bridge and extension, with exact multi-profile routing and no debug profiles or remote debugging ports.

Enables MCP-capable agent CLIs on macOS to reuse an installed, unmodified OpenAI Browser Runtime to drive a connected Chrome or Edge browser (or a host's in-app browser backend) through js, js_reset, and turn_ended tools. It stays a thin bridge that preserves the Runtime's approval and security boundaries, failing closed when the client cannot handle approval requests.

Enables AI agents and people to exchange direct messages, channels, push-to-talk, mail, SMS, searchable memory, and portable agent identities through a hosted MCP endpoint.