MCP Tool Factory (TypeScript)
Generate production-ready MCP (Model Context Protocol) servers from natural language descriptions, OpenAPI specs, or database schemas.
Why MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external data sources and tools. MCP servers expose tools that can be used by:
- Claude Code and Claude Desktop
- OpenAI Agents SDK
- Google ADK (Agent Development Kit)
- LangChain and CrewAI
- Any MCP-compatible client
MCP Tool Factory lets you generate complete, production-ready MCP servers in seconds.
Features
| Feature | Description |
|---|---|
| Natural Language | Describe your tools in plain English |
| OpenAPI Import | Convert any REST API spec to MCP tools |
| Database CRUD | Generate tools from SQLite or PostgreSQL schemas |
| Multi-Provider | Works with Claude, Claude Code, OpenAI GPT, and Google Gemini |
| Web Search | Auto-fetch API documentation for better generation |
| Production Ready | Logging, metrics, rate limiting, retries built-in |
| Type Safe | Full TypeScript with strict mode |
| MCP Registry | Generates server.json for registry publishing |
| Is an MCP Server | Use it directly with Claude to generate servers on-the-fly |
Use as MCP Server
MCP Tool Factory is itself an MCP server! Add it to Claude Desktop or Claude Code to generate MCP servers through conversation.
Claude Desktop / Cursor Configuration
Add to your MCP config file (claude_desktop_config.json or mcp.json):
{
"mcpServers": {
"mcp-tool-factory": {
"command": "node",
"args": ["path/to/mcp-tool-factory-ts/bin/mcp-server.js"],
"env": {
"ANTHROPIC_API_KEY": "your-key-here"
}
}
}
}
Or with npx (after publishing to npm):
{
"mcpServers": {
"mcp-tool-factory": {
"command": "npx",
"args": ["-y", "@heshamfsalama/mcp-tool-factory", "server"],
"env": {
"ANTHROPIC_API_KEY": "your-key-here"
}
}
}
}
Note: Only one provider API key is required. You can use any of:
ANTHROPIC_API_KEY- Anthropic ClaudeCLAUDE_CODE_OAUTH_TOKEN- Claude Code OAuthOPENAI_API_KEY- OpenAI GPTGOOGLE_API_KEY- Google Gemini
Claude Code Configuration
# Using local path
claude mcp add mcp-tool-factory -- node path/to/mcp-tool-factory-ts/bin/mcp-server.js
# Or with npx (after publishing)
claude mcp add mcp-tool-factory -- npx -y @heshamfsalama/mcp-tool-factory server
Available Tools
| Tool | Description |
|---|---|
generate_mcp_server | Generate from natural language description |
generate_from_openapi | Generate from OpenAPI specification |
generate_from_database | Generate from database schema |
validate_typescript | Validate TypeScript code |
list_providers | List available LLM providers |
get_factory_info | Get factory capabilities |
Example Conversation
You: Create an MCP server for the GitHub API with tools to list repos, create issues, and manage pull requests
Claude: Uses
generate_mcp_servertoolI've generated a complete MCP server with the following tools:
list_repositories- List user repositoriescreate_issue- Create a new issuelist_pull_requests- List PRs for a repomerge_pull_request- Merge a PRLet me write these files to your project...
Quick Start
Installation
# Global installation
npm install -g @heshamfsalama/mcp-tool-factory
# Or use npx
npx @heshamfsalama/mcp-tool-factory generate "Create tools for managing a todo list"
Set Your API Key
At least one provider API key is required:
# Anthropic Claude (recommended)
export ANTHROPIC_API_KEY=your-key-here
# Or Claude Code OAuth
export CLAUDE_CODE_OAUTH_TOKEN=your-token-here
# Or OpenAI
export OPENAI_API_KEY=your-key-here
# Or Google Gemini
export GOOGLE_API_KEY=your-key-here
Generate Your First Server
# From natural language
mcp-factory generate "Create tools for fetching weather data by city and converting temperatures"
# From OpenAPI spec
mcp-factory from-openapi ./api-spec.yaml
# From database
mcp-factory from-database ./data.db
Usage
Natural Language Generation
mcp-factory generate "Create tools for managing a todo list with priorities" \
--name todo-server \
--output ./servers/todo \
--web-search \
--logging \
--metrics
OpenAPI Specification
# From local file
mcp-factory from-openapi ./openapi.yaml --name my-api-server
# With custom base URL
mcp-factory from-openapi ./spec.json --base-url https://api.example.com
Database Schema
# SQLite
mcp-factory from-database ./myapp.db --tables users,posts,comments
# PostgreSQL
mcp-factory from-database "postgresql://user:pass@localhost/mydb" --type postgresql
Test & Serve
# Run tests
mcp-factory test ./servers/my-server
# Start server for testing
mcp-factory serve ./servers/my-server
Generated Server Structure
servers/my-server/
├── src/
│ └── index.ts # MCP server with all tools
├── tests/
│ └── tools.test.ts # Vitest tests
├── package.json # Dependencies
├── tsconfig.json # TypeScript config
├── Dockerfile # Container deployment
├── README.md # Usage documentation
├── skill.md # Claude Code skill file
├── server.json # MCP Registry manifest
├── EXECUTION_LOG.md # Generation trace (optional)
└── .github/
└── workflows/
└── ci.yml # GitHub Actions CI/CD
CLI Reference
| Command | Description |
|---|---|
generate <description> | Generate MCP server from natural language |
from-openapi <spec> | Generate from OpenAPI specification |
from-database <path> | Generate from database schema |
test <server-path> | Run tests for generated server |
serve <server-path> | Start server for testing |
info | Display factory information |
Generate Options
mcp-factory generate "..." \
--output, -o <path> # Output directory (default: ./servers)
--name, -n <name> # Server name
--description, -d <desc> # Package description
--github-username, -g <user> # GitHub username for MCP Registry
--version, -v <ver> # Server version (default: 1.0.0)
--provider, -p <provider> # LLM provider (anthropic, claude_code, openai, google)
--model, -m <model> # Specific model to use
--web-search, -w # Search web for API documentation
--auth <vars...> # Environment variables for auth
--health-check # Include health check endpoint (default: true)
--logging # Enable structured logging (default: true)
--metrics # Enable Prometheus metrics
--rate-limit <n> # Rate limiting (requests per minute)
--retries # Enable retry logic (default: true)
Configuration
Environment Variables
| Variable | Description | Required |
|---|---|---|
ANTHROPIC_API_KEY | Anthropic Claude API key | At least one |
CLAUDE_CODE_OAUTH_TOKEN | Claude Code OAuth token | of these 4 |
OPENAI_API_KEY | OpenAI API key | is required |
GOOGLE_API_KEY | Google Gemini API key | for generation |
LLM Providers
| Provider | Models | Best For |
|---|---|---|
| Anthropic | claude-sonnet-4-5, claude-opus-4-5, claude-haiku-4-5 | Highest quality |
| Claude Code | claude-sonnet-4-5, claude-opus-4-5, claude-haiku-4-5 | Claude Code users |
| OpenAI | gpt-5.2, gpt-5.2-codex, gpt-5.1, gpt-5 | Fast generation |
| gemini-3-flash, gemini-3-pro, gemini-2.5-flash | Cost effective |
Programmatic Usage
Basic Usage
import { ToolFactoryAgent, writeServerToDirectory } from '@heshamfsalama/mcp-tool-factory';
// Create agent (auto-detects provider from env vars)
const agent = new ToolFactoryAgent();
// Generate from description
const server = await agent.generateFromDescription(
'Create tools for managing a todo list with priorities',
{
serverName: 'todo-server',
webSearch: true,
productionConfig: {
enableLogging: true,
enableMetrics: true,
},
}
);
// Write to directory
await writeServerToDirectory(server, './servers/todo');
From OpenAPI
import { ToolFactoryAgent, writeServerToDirectory } from '@heshamfsalama/mcp-tool-factory';
import { readFileSync } from 'fs';
import yaml from 'js-yaml';
const spec = yaml.load(readFileSync('./openapi.yaml', 'utf-8'));
const agent = new ToolFactoryAgent({ requireLlm: false });
const server = await agent.generateFromOpenAPI(spec, {
serverName: 'my-api-server',
baseUrl: 'https://api.example.com',
});
await writeServerToDirectory(server, './servers/api');
From Database
import { ToolFactoryAgent, writeServerToDirectory } from '@heshamfsalama/mcp-tool-factory';
const agent = new ToolFactoryAgent({ requireLlm: false });
// SQLite (auto-detected from file path)
const server = await agent.generateFromDatabase('./data/app.db', {
serverName: 'app-database-server',
tables: ['users', 'posts', 'comments'],
});
// PostgreSQL (auto-detected from connection string)
const pgServer = await agent.generateFromDatabase(
'postgresql://user:pass@localhost/mydb',
{ serverName: 'postgres-server' }
);
await writeServerToDirectory(server, './servers/app-db');
Code Validation
import { validateTypeScriptCode, validateGeneratedServer } from '@heshamfsalama/mcp-tool-factory';
// Validate TypeScript syntax
const result = await validateTypeScriptCode(code);
// { valid: false, errors: [{ line: 4, column: 1, message: "'}' expected." }] }
// Validate complete server
const serverResult = await validateGeneratedServer(serverCode);
// { valid: true, errors: [], summary: 'Generated server code is syntactically valid' }
Use with AI Frameworks
Claude Code / Claude Desktop
Add to your MCP settings (claude_desktop_config.json):
{
"mcpServers": {
"my-server": {
"command": "npx",
"args": ["tsx", "./servers/my-server/src/index.ts"]
}
}
}
OpenAI Agents SDK
from agents import Agent
from agents.mcp import MCPServerStdio
async with MCPServerStdio(
command="npx",
args=["tsx", "./servers/my-server/src/index.ts"]
) as mcp:
agent = Agent(
name="My Agent",
tools=mcp.list_tools()
)
Google ADK
from google.adk.tools.mcp_tool import MCPToolset
tools = MCPToolset(
connection_params=StdioServerParameters(
command="npx",
args=["tsx", "./servers/my-server/src/index.ts"]
)
)
LangChain
from langchain_mcp_adapters.client import MCPClient
client = MCPClient(
command="npx",
args=["tsx", "./servers/my-server/src/index.ts"]
)
tools = client.get_tools()
Production Features
Structured Logging
mcp-factory generate "..." --logging
Generates servers with pino structured JSON logging:
const logger = pino({ level: 'info' });
logger.info({ tool: 'get_weather', params }, 'Tool called');
Prometheus Metrics
mcp-factory generate "..." --metrics
Generates servers with prom-client metrics:
mcp_tool_calls_total- Counter of tool invocationsmcp_tool_duration_seconds- Histogram of execution times
Rate Limiting
mcp-factory generate "..." --rate-limit 100
Configurable rate limiting per client with sliding window.
Retry Logic
mcp-factory generate "..." --retries
Exponential backoff retry for transient failures.
MCP Registry Publishing
Publish your generated servers to the MCP Registry for discoverability.
Generate with Registry Support
mcp-factory generate "Create weather tools" \
--name weather-server \
--github-username your-github-username \
--description "Weather tools for Claude" \
--version 1.0.0
This generates registry-compliant files:
package.json:
{
"name": "@your-github-username/weather-server",
"mcpName": "io.github.your-github-username/weather-server"
}
server.json:
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.your-github-username/weather-server",
"packages": [{
"registryType": "npm",
"identifier": "@your-github-username/weather-server",
"transport": { "type": "stdio" }
}],
"tools": [...]
}
Publish Workflow
# 1. Build and publish to npm
cd ./servers/weather-server
npm install && npm run build
npm publish --access public
# 2. Install mcp-publisher
brew install modelcontextprotocol/tap/mcp-publisher
# 3. Authenticate
mcp-publisher login github
# 4. Publish to registry
mcp-publisher publish
See Publishing Guide for detailed instructions.
Architecture
┌─────────────────────────────────────────────────────────────┐
│ MCP Tool Factory │
├─────────────────────────────────────────────────────────────┤
│ Input Sources │
│ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │
│ │ Natural Lang │ │ OpenAPI │ │ Database │ │
│ │ Description │ │ Specification │ │ Schema │ │
│ └───────┬───────┘ └───────┬───────┘ └───────┬───────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ ToolFactoryAgent │ │
│ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
│ │ │ Claude │ │ OpenAI │ │ Gemini │ │ Code │ │ │
│ │ │Provider │ │Provider │ │Provider │ │Provider │ │ │
│ │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │ │
│ └─────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ Generators │ │
│ │ ServerGenerator │ DocsGenerator │ TestsGenerator │ │
│ └─────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ GeneratedServer │ │
│ │ server.ts │ tests │ README │ Dockerfile │ CI/CD │ │
│ └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
Development
# Clone the repository
git clone https://github.com/HeshamFS/mcp-tool-factory-ts.git
cd mcp-tool-factory-ts
# Install dependencies
pnpm install
# Build
pnpm run build
# Run tests
pnpm test
# Type check
pnpm run typecheck
# Lint
pnpm run lint
Project Structure
mcp-tool-factory-ts/
├── src/
│ ├── agent/ # Main ToolFactoryAgent
│ ├── auth/ # OAuth2 providers
│ ├── cli/ # Command-line interface
│ ├── config/ # Configuration management
│ ├── database/ # Database introspection
│ ├── generators/ # Code generators
│ ├── models/ # Data models
│ ├── openapi/ # OpenAPI parser
│ ├── prompts/ # LLM prompts
│ ├── providers/ # LLM providers
│ ├── templates/ # Handlebars templates
│ ├── validation/ # Code validation
│ └── web-search/ # Web search integration
├── docs/ # Documentation
├── tests/ # Test files
└── dist/ # Built output
Documentation
- Getting Started
- CLI Reference
- API Reference
- Examples
- OpenAPI Guide
- Database Guide
- Providers Guide
- Production Features
- Architecture
- Troubleshooting
- Contributing
Troubleshooting
Common Issues
API Key Not Found
# Check your environment
echo $ANTHROPIC_API_KEY
# Set it
export ANTHROPIC_API_KEY=your-key-here
Generated Server Won't Start
# Install dependencies first
cd ./servers/my-server
npm install
npx tsx src/index.ts
TypeScript Errors
# Validate generated code
import { validateGeneratedServer } from '@heshamfsalama/mcp-tool-factory';
const result = await validateGeneratedServer(code);
console.log(result.errors);
See Troubleshooting Guide for more solutions.
Changelog
v0.1.0
- Initial TypeScript release
- Natural language generation with Claude, Claude Code, OpenAI, Google Gemini
- OpenAPI 3.0+ specification import
- Database CRUD generation (SQLite, PostgreSQL)
- Production features (logging, metrics, rate limiting)
- MCP Registry server.json generation
- TypeScript syntax validation
- Web search for API documentation
- GitHub Actions CI/CD generation
- MCP Server mode for on-the-fly generation with Claude
License
MIT