"Kit" matching MCP servers:

An opinionated brownfield planning workflow (PT-BR) with agents, slash-commands, and framework, shipped as an MCP server that syncs the kit into multiple IDE native layouts like Claude Code, Cursor, Codex, and others.

Enables Codex to delegate tasks to ChatGPT through a browser-backed Oracle connection, with project memory and a verified-result cache. It supports preview, delegation, result polling, and explicit acceptance without an API fallback.

A TypeScript MCP server starter kit supporting stdio and HTTP/SSE transports. Includes tools for system metrics, HTTP fetching with URL restrictions, and temporary key-value memory with namespace and TTL support.

Enables AI agents to create, validate, verify, and merge tamper-evident task handoff records with SHA-256 receipts, so they can pass work without redoing everything and distinguish verified claims from unconfirmed ones.

Enables structured multi-agent workflows by managing task claims, action logs, handoffs, and health-gated completion while keeping specifications as filesystem Markdown artifacts.

Enables AI coding providers to run structured multi-agent workflows with shared use-case and spec documents, tracked tasks, handoffs, health checks, and review/repair gates.

Provides an OAuth 2.1 authorization and login layer plus tool registration for MCP connectors, so a connector can be added to Claude clients with only a URL and password. It also shapes tool names, descriptions and input schemas for what Claude clients actually display, returning compact results and readable error messages.

Enables structured multi-agent workflows across AI coding providers by managing documents, tracked tasks, handoffs, health evidence, and MCP-owned task/action state. It supports spec creation, implementation coordination, review, triage, and health-gated completion.

Provides a provider-agnostic MCP server that gives AI coding agents a shared workflow for drafting specs, claiming tracked tasks, logging actions and handoffs, and gating completion on health-check evidence. It also bundles read-only skills for triage, review, consultation, and product guidance across Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.

Enables AI coding providers to run structured multi-agent workflows with specifications, tracked tasks, handoffs, approvals, and health-gated completion across supported coding environments.

Enables AI coding providers to run structured multi-agent workflows with document drafting, task tracking, handoffs, and health-gated completion.

Provides a provider-agnostic MCP server that runs structured multi-agent workflows by owning task claims, action logs, handoffs, and server-side health gates over a shared filesystem and database. It enables coordinated Explorer, Consultant, Builder, and Reviewer roles with tracked specifications and audited completion evidence.

Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, and health evidence, supporting providers such as Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.

Gives AI coding providers a structured, provider-agnostic workflow for managing specifications, tracked tasks, handoffs, and health-gated completion evidence. Enables coordinated multi-role workflows in which tasks are claimed, logged, and verified by server-owned health checks before work is marked done.

Enables AI coding providers to coordinate structured multi-agent workflows with documents, tracked tasks, handoffs, and health evidence. It owns task claims, action logs, and final health results while leaving specification files on the filesystem.

Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, and health-gated completion evidence. It integrates with multiple coding tools while keeping task state, actions, and health results in the harness.

Provides a provider-agnostic MCP server that owns task claims, action logs, role handoffs, and health-gate results so AI coding agents can move work through use-case, spec, design, build, and review stages with server-enforced evidence. It also exposes read-only skills for drafting use cases and specs, triaging bugs, answering code questions, and auditing itself.

Enables AI coding providers to run structured multi-agent workflows with document-backed specifications, tracked tasks, handoffs, health gates, and completion evidence. It exposes MCP tools for coordinating use cases, specs, implementation, review, and repair across supported providers.

Enables AI coding providers to run structured multi-agent workflows, manage specs and tracked tasks, record handoffs, and enforce health-gated completion evidence.

Exposes BitBrowser automation to MCP hosts over stdio, letting agents check online status and inspect windows, tabs, and displays, and carry out authorized window creation, launch, close, delete, rename, URL browsing, tab actions, fingerprint randomization, grid/diagonal/adaptive arrangement, and Cookie or HTTP cache cleanup through the official local API. Write operations follow a prepare → execute → inspect flow with handoff artifacts built from tab snapshots.