MCPSERV.CLUB
MCP-Mirror

Floodfx Mcp Server Linear

MCP Server

MCP Server: Floodfx Mcp Server Linear

Stale(55)
0stars
1views
Updated May 7, 2025

About

This is a MCP server that defines tools for interacting with Linear via an MCP client.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Floodfx MCP Server Linear

The Floodfx MCP Server Linear bridges the gap between AI assistants and the Linear issue‑tracking platform by exposing a concise set of tools that can be invoked through the Model Context Protocol. It lets Claude (or any MCP‑compatible client) search, create, update, and retrieve issues or projects without leaving the conversational interface. This capability turns Linear from a silent back‑office system into an interactive, AI‑driven workspace where developers can ask questions, get real‑time feedback, and manipulate tickets on the fly.

At its core, the server currently offers a single robust tool: . This command accepts natural‑language queries and returns a list of matching issues, allowing developers to quickly surface relevant work items while drafting documentation or debugging code. The design follows Linear’s REST API, so the response format is familiar to those who already use the platform, and it can be extended with minimal friction. The server’s architecture is intentionally lightweight; it runs on Bun or Node, and can even be compiled into a standalone binary so that teams can deploy it without managing JavaScript runtimes.

Key capabilities include:

  • Search and retrieval of issues, projects, cycles, teams, users, and organization data through future tools such as or .
  • Modification primitives like , , and that let an AI assistant not only read but also write back to Linear, turning the platform into a dynamic collaboration hub.
  • Resource links (, ) that provide a consistent way to reference Linear objects, enabling the client to embed clickable links or rich previews in its UI.
  • Extensible configuration via JSON, allowing teams to plug the server into any MCP client with a single command line or executable reference.

In practice, this MCP server is invaluable for workflows that require rapid iteration and context sharing. For example, a developer can ask Claude to “find all bugs assigned to me that are blocking release 2.0” and receive a live list, then immediately instruct the assistant to “add a comment saying ‘investigating’” or “create a new sub‑task”. Product managers can generate status reports, pull in project metrics, or even trigger automated workflows—all through a single conversational thread. Because the server runs locally or as a lightweight service, latency is minimal and security remains under the team’s control.

Overall, Floodfx MCP Server Linear turns Linear from a static issue tracker into an AI‑powered partner. By exposing search, CRUD, and resource navigation through MCP, it enables developers to keep their focus on code while the assistant handles ticket management, freeing time for higher‑value tasks.