Expertise Toolkit
Turn domain expertise into AI-accessible MCP servers
What is Expertise Toolkit?
Expertise Toolkit is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to turn domain expertise into ai-accessible mcp servers
Turn domain expertise into AI-accessible MCP servers
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Turn domain expertise into AI-accessible MCP servers
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-expertise-toolkitConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Expertise Toolkit
The MCP Expertise Toolkit lets domain experts encode their knowledge into YAML configuration files that are automatically compiled into fully functional MCP servers, deployable to Cloudflare Workers. Each YAML file defines principles, checkpoints, quality checks, and review guidance for a specific domain; the toolkit generates tools like load_{prefix}_context, review_{prefix}_content, and get_{prefix}_guidelines that make that expertise queryable by AI assistants.
Prerequisites
- Node.js 18 or higher, or Bun runtime installed
- Cloudflare account (free tier is sufficient for deployment)
- Wrangler CLI installed (npm install -g wrangler) and authenticated
- Git to clone the repository
Clone the repository and install dependencies
Clone the mcp-expertise-toolkit repository and install its dependencies using Bun or npm.
git clone https://github.com/lennyzeltser/mcp-expertise-toolkit.git
cd mcp-expertise-toolkit
bun install
# or: npm installCreate your domain expertise YAML file
Copy the starter template and edit it to encode your domain knowledge. The toolPrefix field determines the names of generated MCP tools.
cp content/_starter-template.yaml content/my-domain.yaml
# Edit content/my-domain.yaml with your domain expertise:
# version: "1.0.0"
# meta:
# name: "Code Review"
# author: "Your Name"
# description: "Expert code review guidelines"
# toolPrefix: "code"
# principles:
# - "Prioritize readability and maintainability"
# - "Ensure adequate test coverage"
# checkpoints:
# - purpose: "Security review"
# qualityChecks:
# - "No hardcoded secrets or API keys"
# reviewGuidance: "Provide specific, actionable feedback"Validate your YAML configuration
Run the built-in validation script to ensure your YAML file is well-formed and meets the schema requirements before deploying.
bun run validate
# or: npm run validateDeploy to Cloudflare Workers
Log in to Cloudflare via Wrangler, create an R2 bucket to store expertise data, upload your YAML file, and deploy the worker.
npx wrangler login
npx wrangler r2 bucket create mcp-expertise-data
npx wrangler r2 object put mcp-expertise-data/my-domain.yaml \
--file content/my-domain.yaml --content-type "text/yaml"
bun run deployConnect to your MCP client
Add the deployed Cloudflare Worker URL to Claude Desktop or Claude Code as an MCP server using HTTP transport.
# Claude Code:
claude mcp add my-expertise --transport http https://YOUR-WORKER.workers.dev/mcp
# Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"my-expertise": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://YOUR-WORKER.workers.dev/mcp"]
}
}
}Run locally for development
Test your expertise server locally before deploying. The local dev server runs on http://localhost:8787.
bun run dev
# Server available at http://localhost:8787Expertise Toolkit Examples
Client configuration
Claude Desktop configuration connecting to a deployed Cloudflare Worker expertise server via mcp-remote proxy.
{
"mcpServers": {
"code-review-expertise": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://my-worker.workers.dev/mcp"]
}
}
}Prompts to try
Example prompts once your expertise server is connected. Tool names depend on the toolPrefix set in your YAML (e.g., 'code' prefix generates 'load_code_context').
- "Load the code review context with comprehensive detail level"
- "Use get_code_guidelines for the topic of security to get security review criteria"
- "Review this pull request diff using the review_code_content tool"
- "What capabilities does this expertise server expose?"
- "Get code guidelines for completeness and quality topics with examples included"Troubleshooting Expertise Toolkit
bun run validate fails with YAML schema errors
Ensure all required top-level keys are present: version, meta (with name, author, description, toolPrefix), principles (array), checkpoints (array), qualityChecks (array), and reviewGuidance (string). Compare your file against content/_starter-template.yaml for the correct structure.
Wrangler deploy fails with 'R2 bucket not found'
Create the R2 bucket before deploying: npx wrangler r2 bucket create mcp-expertise-data. Also verify your Wrangler is authenticated with the correct Cloudflare account by running npx wrangler whoami.
MCP client cannot connect to the deployed worker URL
Verify the worker deployed successfully with npx wrangler tail to see live logs. Ensure the URL ends in /mcp as the endpoint path. If using Claude Desktop, install mcp-remote first: npm install -g mcp-remote.
Frequently Asked Questions about Expertise Toolkit
What is Expertise Toolkit?
Expertise Toolkit is a Model Context Protocol (MCP) server that turn domain expertise into ai-accessible mcp servers It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Expertise Toolkit?
Follow the installation instructions on the Expertise Toolkit GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Expertise Toolkit?
Expertise Toolkit works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Expertise Toolkit free to use?
Yes, Expertise Toolkit is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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