MCP Tools

BoostSecurity for safe packages

Coding agents speed delivery but risk supply chains by adding vulnerable, outdated, malicious, or typosquatted packages. BoostSecurity MCP safeguards projects by analyzing each dependency introduced,

Coding agents speed delivery but risk supply chains by adding vulnerable, outdated, malicious, or typosquatted packages. BoostSecurity MCP safeguards projects by analyzing each dependency introduced, flagging unsafe ones, and recommending secure, maintained alternatives to ensure protection. With the BoostSecurity for safe packages MCP server, AI assistants can interact directly with BoostSecurity for safe packages's capabilities, streamlining your workflow and enabling intelligent automation.

Penfield

Penfield gives AI agents long-term memory that compounds over time. Instead of starting every session from zero, your agent remembers conversations, learns preferences, connects ideas, and picks up exactly where it left off. Hybrid search (BM25 + vector + graph traversal) finds what matters. 24 relationship types build real knowledge graphs, not just vector dumps. Context checkpoints enable seamless handoffs between sessions and agents. Signup at https://penfield.app. The Penfield integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Penfield's features.

ConfigCat

Enables AI tools to interact with ConfigCat, a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags. Through the Model Context Protocol, ConfigCat provides AI agents with direct access to its platform, enabling automated workflows and smart integrations.

Amazon Product Search

Enable seamless Amazon product searches with detailed information, including descriptions, pictures, and links. Quickly retrieve detailed product information to enhance your applications. Simplify a

Enable seamless Amazon product searches with detailed information, including descriptions, pictures, and links. Quickly retrieve detailed product information to enhance your applications. Simplify access to Amazon's product data through a standardized MCP server interface. Leverage Amazon Product Search within your AI workflow using the Model Context Protocol. This server enables AI assistants to work with Amazon Product Search's tools and data programmatically.

Convex

Cursor, the AI code editor, makes it easy to write and maintain apps built with Convex. Let's walk through how to setup Cursor for the best possible results with Convex.

Cursor, the AI code editor, makes it easy to write and maintain apps built with Convex. Let's walk through how to setup Cursor for the best possible results with Convex. The Convex MCP integration empowers AI assistants to tap into Convex's ecosystem, providing automated access to its core features and services.

Message MCP

Desktop notifications, emails, and API pushes reduce anxiety while waiting for AI tasks, allowing you to comfortably enjoy a cup of coffee.

Desktop notifications, emails, and API pushes reduce anxiety while waiting for AI tasks, allowing you to comfortably enjoy a cup of coffee. With the Message MCP MCP server, AI assistants can interact directly with Message MCP's capabilities, streamlining your workflow and enabling intelligent automation.

Pieces for Developers

Transform how you work with AI by connecting language models to your personal context. Pieces preserves and leverages your history through Long-Term Memory Engine. - On-device workflow capture - Wor

Transform how you work with AI by connecting language models to your personal context. Pieces preserves and leverages your history through Long-Term Memory Engine. - On-device workflow capture - Workstream activity tracking - Snippet sharing improvements - IDE plugin enhancements - Live context in browser - Backup and restore - Temporally grounded copilot. The Pieces for Developers integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Pieces for Developers's features.

MCPower

Real-time semantic monitoring of AI agent <-> MCP Server communication to protect from data leaks and malicious prompt injections.

Real-time semantic monitoring of AI agent MCP Server communication to protect from data leaks and malicious prompt injections. Through the Model Context Protocol, MCPower provides AI agents with direct access to its platform, enabling automated workflows and smart integrations.

Expo Starter MCP

Production-grade MCP is designed to assist in setting up and coding an Expo App more efficiently.

Production-grade MCP is designed to assist in setting up and coding an Expo App more efficiently. Leverage Expo Starter MCP within your AI workflow using the Model Context Protocol. This server enables AI assistants to work with Expo Starter MCP's tools and data programmatically.

Media

Amazon EKS MCP Server

The Amazon EKS MCP server provides AI code assistants with EKS & Kubernetes resource management tools, real-time cluster state visibility, and troubleshooting capabilities.

The Amazon EKS MCP server provides AI code assistants with EKS & Kubernetes resource management tools, real-time cluster state visibility, and troubleshooting capabilities. The Amazon EKS MCP Server MCP integration empowers AI assistants to tap into Amazon EKS MCP Server's ecosystem, providing automated access to its core features and services.

Cloud

Safe Local Python Executor/Interpreter

Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while

Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime. With the Safe Local Python Executor/Interpreter MCP server, AI assistants can interact directly with Safe Local Python Executor/Interpreter's capabilities, streamlining your workflow and enabling intelligent automation.

Cloud

Blockchain Data by Tatum

Official Tatum blockchain MCP server giving you RPC and API read and write data access to 130+ blockchain protocols. Full instal guide: https://github.com/tatumio/blockchain-mcp Tools and features:

Official Tatum blockchain MCP server giving you RPC and API read and write data access to 130+ blockchain protocols. Full instal guide: https://github.com/tatumio/blockchain-mcp Tools and features: ∙ 130+ Networks: Bitcoin, Ethereum, Polygon, Arbitrum, Base, Solana, and many more ∙ Blockchain Data: blocks, transactions, balances, network info and more ∙ RPC Gateway: direct access to all blockchain RPC endpoints. The Blockchain Data by Tatum integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Blockchain Data by Tatum's features.

API

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