Tool Calling & Agent Protocols
MCP Config Generator
Create Model Context Protocol (MCP) server configuration files to securely connect AI coding assistants to external tools, databases, APIs, and cloud resources.
Start with a conversation
Talk to us
Use Halden AI as a sales assistant to explore services, understand offerings, and choose the right next step before booking a meeting.
Configure & Build your mcp.json
The Model Context Protocol (MCP) is an open standard that allows AI models and IDEs to securely interact with external tools, local filesystems, cloud databases, GitHub repositories, and custom APIs. Generate clean, spec-compliant configurations in seconds.
1. Target Client & Configuration Scope
Select your AI client or editor to automatically format the output file path and JSON schema.
2. Pre-Configured MCP Server Library
Click any integration to toggle it in your configuration.
3. Active Servers Configuration & Custom Tools
Fine-tune command arguments, allowed paths, and environment variable references.
Add Custom MCP Server
Save to your project root or editor settings directory.
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"./src"
]
},
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}Security Tip: Avoid committing hardcoded secrets into git. Always use environment variable tokens like "${GITHUB_TOKEN}" and populate them through a gitignored .env.local file.
Integration
Where to place your mcp.json
Save project-scoped configs in your repository under .cursor/mcp.json or .vscode/mcp.json. For global access across all projects in Claude Desktop, save to the application support directory.
Project Scope (Cursor / VS Code): .cursor/mcp.json .vscode/mcp.json Global Scope (Claude Desktop): macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
Key Capabilities & Features
- Multi-client support: Cursor (.cursor/mcp.json), Claude Desktop, VS Code (.vscode/mcp.json), Windsurf, and Generic
- Target scope switching between project-specific and global configurations
- Curated catalog of top MCP servers (Filesystem, GitHub, Postgres, Supabase, Slack, Linear, Sentry, Brave Search, Puppeteer, Memory)
- Custom MCP server builder for stdio, command execution, and remote SSE transports
- Safe environment variable management with secret placeholders
- Instant JSON validation, clipboard copy, and file download
Related Tags
FAQ
Frequently Asked Questions
Everything you need to know about mcp.json and AI agent tooling.
What is the Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard created by Anthropic that enables AI assistants to securely connect to external data sources, developer tools, and operational environments through standardized clients and servers.
How do I pass secrets like API tokens securely?
Never commit real secret keys into public repositories. Use environment variables (e.g., "${GITHUB_PERSONAL_ACCESS_TOKEN}") or set them in a local, git-ignored .env file.
Can I add our own internal custom MCP servers?
Yes. Use the "Add Custom Server" button in the generator to configure any custom command, script, or container endpoint.
Explore
More Developer & AI Tools
Explore other open configuration generators from Halden Solutions.
AGENTS.md Generator
Generate a universal AGENTS.md configuration file that provides unified repo context, guidelines, and execution boundaries to any AI coding agent.
DESIGN.md Generator
Build a tokenized design system specification that AI coding agents can read, understand, and apply consistently across your codebase.
llms.txt Generator
Create structured llms.txt and llms-full.txt files to guide AI search engines, LLMs, and agent web crawlers to your highest-value documentation.
Need help building production AI platforms and multi-agent systems?
Halden Solutions helps teams design, build, and scale autonomous AI systems, secure agent guardrails, and enterprise cloud infrastructure.
