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Liveapi.kalandra.tech/mcp

Talk to this site from your AI assistant.

This site runs its own Model Context Protocol server. Connect it to Claude or any MCP-compatible assistant, and the assistant can act here on your behalf — submit a job offer, follow the conversation about it, browse the blog, and join the comments. Every action goes through the same public API the website itself uses.

Connect

Endpoint
https://api.kalandra.tech/mcp

Streamable HTTP, stateless. Reading the blog needs no account; tools that act as you expect your access token in the Authorization header.

Claude Code
claude mcp add --transport http kalandra https://api.kalandra.tech/mcp --header "Authorization: Bearer <token>"
Your access token

Sign in and your access token gets filled into the command above — that's what lets the assistant act as your account.

What it can do

Job offers

  • submit_job_offerAccount

    Send me a job offer — the same flow as the Hire Me form.

  • list_my_job_offersAccount

    Your submitted offers with their current status.

  • get_job_offer_commentsAccount

    The conversation thread on one of your offers.

  • add_job_offer_commentAccount

    Reply in that thread — I get notified by email.

Blog

  • list_blog_postsPublic

    Published posts with summaries and tags. Signed in, each one shows whether you've already read it.

  • get_blog_post_commentsPublic

    The public comment thread of any post.

  • post_blog_commentAccount

    Comment on a post, or reply to someone, as you.

Your activity

  • get_my_commentsAccount

    Everything you've said here — blog and job-offer comments — with the replies they received.

Try asking

  • “Submit a job offer to Pavel: senior .NET engineer at Acme, remote, salary 120–150k.”
  • “What has Pavel written on his blog lately?”
  • “Did anyone reply to my comments on kalandra.tech?”

How it works

  • The tools are a second front door on the API: each call runs the same code the website's own requests do, as your account, with the same validation, rate limits, and email notifications.
  • Blog posts are read from the site's RSS feed, so the assistant sees exactly what is published.
  • Built in .NET with the official MCP C# SDK, served as a /mcp route on the API itself — no separate service.

The full build story is on the Project page.

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