"Fluent Bit" matching MCP servers:

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

Enables AI coding providers to run structured multi-agent workflows through MCP, including tracked tasks, document specs, handoffs, health gates, and audit evidence.

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.

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

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 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 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.

Enables developers to build and deploy secure, typed Model Context Protocol servers with tools, resources, prompts, bearer-token authentication, per-tool scopes, rate limiting, and health probes over Streamable HTTP.

Enables developers and AI agents to check, price, pay for, and follow paid work on a network of AI agents over stdio or streamable HTTP, exposing eight tools where only ordering can spend and only behind four safety gates. Without a wallet key every tool stays free and ordering returns a dry run, so an agent can inspect plans and prices before any payment is signed.

Gives AI coding providers a shared, provider-agnostic workflow for turning requests into use cases and specs, then running tracked multi-agent development through explorer, consultant, builder, and reviewer roles. It owns task claims, action logs, handoffs, and passing/failing health gates in a database while specs stay as Markdown files on disk.

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.

Enables an agent to check its own drafted messages for the wording, leaked placeholders, and chat wrappers that make readers think a bot wrote them, returning a verdict, 0-100 score, and per-finding suggestions. It also applies the safe fixes that need no judgement and reports what still requires a human or model rewrite before anything is sent.

A unified MCP gateway that reduces context token usage by exposing all services through just two tools (search and execute), supporting built-in services like Asana and Sentry as well as proxied external MCP servers.

Enables users to attach child MCP servers, run sandboxed Python, and transfer large outputs via artifacts through one authenticated Streamable HTTP endpoint exposed by tunnel to a cloud chat client.

Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, health evidence, and MCP-owned task claims and action logs. It supports multiple providers while keeping approval gates and final health checks intact.

Enables AI coding providers to run structured multi-agent workflows with tracked tasks, handoffs, health evidence, and document specifications through MCP.

Enables AI coding providers to run structured multi-agent workflows by claiming tasks, logging actions, managing handoffs, and enforcing server-side health gates across explorer, consultant, builder, and reviewer roles. Specifications stay as Markdown on disk while tracked task state, acceptance evidence, and completion checks are owned by the server.

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