Developer Tools MCP 서버

Mastodon

Enables the creation of Mastodon toots with media attachments via the Model Context Protocol.

Osmosis Agent Toolkit

Enables Large Language Models (LLMs) to interact with the Osmosis protocol.

Starknet

Exposes Starknet RPC methods to Large Language Models through the Model Context Protocol.

Data Extractor

Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.

1scan

Provides a unified API gateway for accessing multiple blockchain explorers and supports Model Context Protocol (MCP) for AI assistants.

Hugo

Provides a Model Control Protocol (MCP) server for managing Hugo static site generator.

UniFuncs

Provides an MCP server for interacting with the UniFuncs API.

WikiJS

Integrates Wiki.js instances with the Model Context Protocol, enabling large language models like Claude to interact with documentation.

ClearML

Enables AI assistants to interact with ClearML experiments, models, and projects through a lightweight Model Context Protocol server.

AppSignal

Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.

macOS Contacts

Integrate macOS Contacts with AI assistants to search, view, and manage local contact data conversationally.

Thunder Client

Integrates with AI development environments to generate API requests and collections for Thunder Client.

Structured Memory

Manages structured, domain-specific memory through markdown files, assisting in accumulating valuable context for focused projects.

Graphiti

Provides an enhanced Model Context Protocol (MCP) server for Graphiti, enabling AI agents to interact with a temporally-aware knowledge graph.

Opendata

Simplifies access and exploration of Korean Public Data Portal (OpenAPI) resources.

Ava

Automates development progress sharing to Slack through AI-powered, privacy-first task reporting.

Yandex Tools

Offers a collection of MCP servers for accessing Yandex APIs, including Wordstat, Search, Webmaster, and Metrika, primarily for the Russian market.

jQAssistant Graph RAG

Transforms jQAssistant-generated Neo4j graphs into semantically rich, AI-ready knowledge graphs for Java/Kotlin source code analysis.

Fava Trails

Establishes a versioned, auditable memory system for AI agents, leveraging a Version Control System (VCS) through the Model Context Protocol (MCP).

OCR

Provides advanced OCR capabilities with state-of-the-art models, WIA scanner control, and multi-format document processing for both web users and AI agents.