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Developer Tools MCP servers supercharge your coding workflow by connecting AI assistants to your development stack. From Git operations and code analysis to deployment and debugging, these servers let Claude, Cursor, and VS Code interact with your tools directly.
MCP Server Listings
Amicus MCP Server
A state persistence layer that enables seamless handoffs between different AI coding assistants by maintaining a shared context bus. It provides tools for tracking summaries, next steps, and active files to ensure continuity across development sessions.
any-script-mcp
Enables execution of arbitrary CLI tools and shell scripts by defining them in YAML configuration files as MCP Tools. Supports custom shells (bash, Python, Node.js, Deno), input parameters passed as environment variables, and flexible timeout settings.
Fluora MCP
Enables AI agents to discover and pay for monetized services such as PDF processing and DeFi operations using USDC on the Base blockchain. It provides automatic payment processing and secure local wallet management for seamless integration with MCP-compatible clients.
Ambient Code Platform MCP Server
Delegates expensive or long-running AI tasks to Kubernetes-hosted Claude agents running on OpenShift. Enables creating, managing, and monitoring remote agentic sessions for complex work like codebase analysis and security audits.
mcpSovereign SDK
A two-sided marketplace that enables AI agents to buy and sell datasets, prompt packs, and MCP tools using Bitcoin Lightning for instant settlement. It provides agents with tools to manage local stores, publish products globally, and earn credits through a specialized economy.
AegisX MCP
Provides AI assistants with access to AegisX UI components, CRUD generator commands, development patterns, and API contract discovery tools. It enables developers to browse component documentation, build generation commands, and test authenticated API endpoints through the Model Context Protocol.
ComputeGauge MCP
Provides cost intelligence and a reputation scoring system to help AI agents optimize spending through smart model selection and local-to-cloud routing. It enables real-time cost tracking and rewards agents for making efficient, high-credibility decisions across various LLM providers.