Developer Tools MCP Servers

Monsoft Protocols

Extends the capabilities of AI assistants by enabling them to perform additional functions and access external resources through Model Context Protocols.

Goat

Connects Large Language Models like Claude to EVM and Solana chains, enabling interactions with blockchain data and transactions.

TiggerBeetle

Provides TigerBeetle account management using the Model Context Protocol.

MeghanMurphy1

Provides a Python implementation of an Elasticsearch server.

Sabastua

Provides a selection of tools across various software development and management categories.

2025-06-03-Todo

Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without authentication.

Sequential Thinking

Facilitates dynamic and reflective problem-solving through a structured, step-by-step thinking process for AI models.

AWS Terraform

Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.

PlugGraph

Develop and experiment with modular conversational AI agents powered by LangGraph and the Model Context Protocol (MCP).

Webshot

Generate high-quality web page screenshots using Playwright with extensive customization options.

Notion

Enables CRUD operations on Notion databases, providing an MCP server integration for AI tools like Cursor and Claude.

Trade Surveillance Support

Automates trade surveillance support workflows by integrating with existing SQL configurations and Java code repositories using a Model Context Protocol (MCP) server.

Multi-Memory

Provides a multi-category knowledge graph memory server leveraging SQLite for persistent storage and isolated memory contexts.

Optics

Enables AI agents to understand and interact with the Optics Design System's tokens, components, and documentation.

NestJS Assistant

Empowers NestJS developers with an extensive suite of AI-powered tools for accelerated code generation, robust security auditing, and streamlined deployment automation.

Granola

Exposes Granola meeting intelligence as structured, queryable Model Context Protocol (MCP) resources for AI agents and automation pipelines.

JVM Probe

Provides live runtime probe data from JVM applications to facilitate reproducible debugging steps and line-hit verification.

GetExperience

Integrate GetExperience.com's tour and travel experience marketplace directly into any AI assistant via the Model Context Protocol.

Plan Review

Sends implementation plans to an independent Claude instance for architectural review and feedback triage.

AI Diff Review

Empowers AI agents with advanced file editing capabilities within Visual Studio Code, allowing users to review and control proposed changes.