Claude Code
Use Claude Code with less capable LLMs.
Locate the Claude CLI Executable on Your Machine
- If you have not yet installed Claude CLI, follow the guide here: Claude Code CLI Setup.
- After installation, find the full path to your
claudeCLI executable.- Example for Linux/macOS:
/home/linuxbrew/.linuxbrew/bin/claude - Example for Windows:
C:\Users\YourUser\AppData\Local\bin\claude.exe
- Example for Linux/macOS:
Complete Authentication for Claude CLI
- Open your terminal and confirm that
claudeis authenticated and works (e.g., by runningclaude --help). - If authentication is not yet set up, follow the relevant instructions linked above to ensure you have completed the authentication step.
- Open your terminal and confirm that
Fill in the ENV Fields in the FastMCP Connection Interface
- In the FastMCP interface, when prompted to add environment variables via the “Install Now” button, fill in the fields as follows:
CLAUDE_BIN: The full absolute path to your Claude CLI executable (from Step 1).LOG_LEVEL(Optional): Set the desired logging level, e.g.,info. You may leave this blank or set toinfo,debug,warn, orerroras needed.
- In the FastMCP interface, when prompted to add environment variables via the “Install Now” button, fill in the fields as follows:
Finish Setup
- Continue setup as directed in FastMCP. If prompted, restart your MCP server or host application to apply changes.
Summary of Required ENVs:
CLAUDE_BIN(Required)LOG_LEVEL(Optional)
You do not need to manually create a .env file if using the FastMCP interface—just provide the values in the connection settings.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Developer Tools
View All →
GitHub
Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.
Desktop Commander
Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.
Figma Context
Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.
Chrome DevTools
Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.
Microsoft Docs
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Similar MCP Servers
Claude Historian
Provides intelligent search capabilities across Claude Code conversation history with specialized tools for conversation search, file context discovery, error solution patterns, and session management through JSONL log parsing and AI-enhanced query expansion.