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CodeStringers MCP Server.
CodeStringers provides a Model Context Protocol (MCP) server: an open, standardized way for AI assistants to connect directly to a trusted source of information. Instead of relying on scraped or outdated web data, your assistant can consult CodeStringers itself, in real time.
MCP endpoint
https://www.codestringers.com/_api/mcpA connection URL for AI tools: add it in your client’s settings. It is not a page to open in a browser.
- Public and read-only
- No API key, login or account
- Works with any MCP-compatible client
What you can do once connected.
Every answer is drawn straight from the source and linked back to the original content, so you can both trust it and verify it. No manual research, no copy-paste, and no second-guessing whether the information is current.
Get our business details.
Retrieve verified business details such as our contact information, location, and how we work.
Search our articles.
Search our full library of published articles and insights and get answers, with links to the source.
Connect your AI client.
Add our MCP endpoint to any MCP-compatible AI client. Pick the way your client adds MCP servers, copy the snippet and paste it where the step says.
In settings.
Most AI clients let you add an MCP server, sometimes called a custom connector, in their settings. Choose a remote server and paste the endpoint URL:
https://www.codestringers.com/_api/mcpNo API key, login or account is needed: leave any authentication setting empty.
Config file.
If your client reads its MCP servers from a JSON file (often mcp.json), add this entry. Your client’s MCP documentation says where the file lives.
{
"mcpServers": {
"codestringers": {
"url": "https://www.codestringers.com/_api/mcp"
}
}
}Some code editors list servers under "servers" and ask for the type:
{
"servers": {
"codestringers": {
"type": "http",
"url": "https://www.codestringers.com/_api/mcp"
}
}
}Local bridge.
If your client only starts local MCP servers, connect through the open-source mcp-remote bridge. It needs Node.js; add this entry to the client’s config file:
{
"mcpServers": {
"codestringers": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://www.codestringers.com/_api/mcp"]
}
}
}Any client that speaks the Model Context Protocol connects one of these ways. If yours has a command to add a server, give it the name codestringers and the endpoint URL.
Frequently asked questions.
What is the CodeStringers MCP server?
It’s a Model Context Protocol (MCP) server that lets AI assistants connect directly to CodeStringers. Instead of scraping our website, your AI can query us in real time — our services, business details, and published articles.
How do I connect to the CodeStringers MCP server?
Add the endpoint https://www.codestringers.com/_api/mcp to any MCP-compatible AI client. See the connection steps above for the ways to add it.
What can I do once connected?
Ask about our services and expertise, get our business details (contact, location, and more), and search our articles and insights — with answers linked back to the source.
Do I need an API key, login, or account?
No. The CodeStringers MCP server is public and read-only — just add the endpoint URL to your client and start asking.
Which AI tools support MCP?
Any AI client that speaks the Model Context Protocol, including desktop assistants, command-line assistants and code editors — with more adding support regularly.
Is it safe? Can the AI change anything?
Yes, it’s safe. The server is read-only: connected assistants can search and read our public information, but they can’t modify anything or access private data.
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