Developer Tools MCP Servers

Linear Integration

Connects to Linear for streamlined task management.

Unreal

Enables AI agents to interact with and control Unreal Engine environments programmatically through a Machine Control Protocol (MCP).

Linear

Provides a Model Context Protocol (MCP) server for Linear, enabling issue tracking and project management.

MCPMonkey

Enables AI language models to interact with and control a web browser through MCP.

Turbo Docs

Provides access to up-to-date documentation for Turbo.js within compatible Model Context Protocol (MCP) clients.

WebPerfect

Automatically process and optimize images for web use with advanced enhancements and optimized compression.

Backlog

Connects to the Backlog API to provide issue searching, retrieval, and updating capabilities.

Cosense

Provides an interface for interacting with Cosense pages through a standardized protocol.

HireBase

Provides tools to interact with the HireBase Job API for searching jobs and generating candidate profile prompts.

Git

Provides Git operations through a standardized interface for AI assistants.

Canvas

Enables AI agents to interact with Canvas LMS for querying courses and resources.

Phalcon

Provides blockchain transaction analysis tools by integrating with the BlockSec platform.

Zerocracy

Integrates Zerocracy's management advice into AI agents.

Jolokia

Enables an LLM to manage Java applications using JMX API via Jolokia.

Illustrator

Enables text, image, and path manipulation and information retrieval within Adobe Illustrator on macOS.

Whatsapp Web

Enables AI models to interact with WhatsApp through a standardized interface.

Nostrdb

Enables Large Language Models to query local Nostr databases using the `ndb` command-line tool.

Currents

Provides test results context to AI agents by connecting them to Currents.

Docs RAG

Enables querying of local documents using retrieval-augmented generation (RAG) with LLMs.

Rag

Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.