
A couple of weeks ago we announced TAIKAI's native MCP connector. That post covered the what and the why: TAIKAI is now agentic-first, your AI can act on the platform, here's the endpoint.
This post is the technical follow-up. The one for people who already pasted mcp.taikai.network/mcp into Claude Desktop or Cursor and now want to know what's actually inside, and what's worth building with it.
We'll do three things:
If you haven't connected the MCP yet, the endpoint is mcp.taikai.network/mcp and you can manage access from settings → applications. Two minutes, then come back.
TAIKAI MCP ships around 30 tools. Listing them alphabetically would be useless. Here's the more honest grouping: what is your agent actually trying to do?
The "read the platform" tools. No side effects, safe to call freely.
The point of no return. These write to the database.
The full lifecycle of a submission.
One thing worth flagging: descriptions are HTML, not markdown. Use <p>, <h2>, <ul>, <a href>, <img>. Your agent should know this before it drafts.
This is the part of the API people get surprised by, so it's worth a paragraph.
Voting works like a shopping cart. Each challenge step can have multiple voting tracks, and each jury member has one cart per track. You add projects to the cart, optionally tag them with appraisal scores per criterion, and then check out the whole thing atomically.
The cart pattern means an agent can build up a full vote allocation, double-check it, and submit atomically, no half-cast votes if something fails midway.
That's the full surface area. Now the interesting question: what do you build with it?
The smallest possible win. Read-only, single tool family, zero side effects, and it still saves you 20 minutes of tab-hopping.
What open hackathons are on TAIKAI right now? Focus on AI, prizes above $10k, closing in the next 30 days. Give me three to look at.
Under the hood: list_challenges(isClosed=false), then get_challenge + get_challenge_steps for each candidate to filter by category and deadline. The agent comes back with a short list and links.
This is the gateway use case. If you've never used the MCP, this is the prompt to start with. It builds intuition for what the agent can see without anything writing back.
One step up. The annoying paste-shuffle the announcement post called out, fully removed.
Register me for this hackathon, fill the registration form using my profile, and create a draft project called 'Inkwell' with the teaser: an MCP server that turns your handwriting into structured notes.
Tool chain:
Five tool calls, one prompt. The project is now sitting in your dashboard, in DRAFT, waiting for you to flesh it out. You're a registered participant. Total time: a few seconds.
Now we're composing across MCP servers. This is where things get fun.
Read my repo at github.com/me/inkwell, write a project description in HTML covering the problem, the approach, and the demo, upload /assets/cover.png as the cover image, and publish.
Tool chain (TAIKAI MCP + the GitHub MCP, working together):
This is the loop that "agentic engineering" was actually promising. You finish building. You prompt once. The submission ships. You go to bed.
For jurors, organizers, and anyone with a cart full of allocations to make.
I'm a juror on the Manufact hackathon. Pull my voting carts, look at the leaderboard, and allocate 1000 votes across my top 5 favorites weighted by their current rank. Biggest share to first place, smallest to fifth. Then check out.
Tool chain:
This is the kind of workflow that genuinely didn't exist before MCP. No SaaS jury tool ships "weighted distribution across the current leaderboard." But with MCP, your agent can do it because the primitives are exposed and the cart pattern guarantees atomicity.
Here's the payoff. Everything above can be chained into a single agent that runs on a schedule and treats hackathon participation as a background process.
The brief, written exactly like you'd hand it to Claude:
Every morning at 9am, find new open hackathons on TAIKAI that match my skills (TypeScript, AI agents, solo-friendly, prize pool above $5k, deadline at least 7 days away). For the single best match, register me, fill the registration form using my profile, create a draft project, write a build plan as the HTML description, and DM me a summary with the challenge link.
What it actually runs:
1. taikai_list_challenges(isClosed=false, page=0) → 20 open challenges 2. For each: taikai_get_challenge(orgSlug, slug) taikai_get_challenge_steps(challengeId) taikai_get_challenge_categories(challengeId) → filter by category match (AI / TypeScript) → filter by prize threshold → filter by time-to-deadline ≥ 7 days → filter by "solo-friendly" (min team size = 1) 3. taikai_get_me() → match score = overlap(my skills, challenge tags) 4. Pick the highest-scoring challenge 5. taikai_register_for_hackathon(challengeId) 6. taikai_get_registration_form(challengeId) 7. taikai_submit_form(...) using profile answers 8. taikai_create_project(name, teaser, ...) 9. Generate an HTML build plan from the challenge brief: - Problem framing - Proposed approach - Tech stack - Day-by-day timeline to deadline 10. taikai_update_project(description=) 11. Email or Slack the user with: - Challenge name + link - Why it scored highest - The build plan draft - "Reply 'kill' to delete the project, anything else to keep it"
You wake up. You read the summary. Most days you'll kill it. Some mornings you'll go huh, that's actually interesting, open the draft, and start building. Those mornings used to require an hour of browsing to find. Now they require a glance.
This is what "agentic-first" was always supposed to mean. The agent doesn't replace the work of building something good. It removes the friction around it: the searching, the form-filling, the boilerplate descriptions, the publish-and-pray routine. Your time goes into the build.
Connect the MCP from any compliant client:
mcp.taikai.network/mcp
Manage access at settings → applications. First prompt to try, if you want to dip a toe in:
What open hackathons are on TAIKAI right now?
That's it. From there, build up to the auto-submitter, then the pitch writer, then a scheduled routine.
Three things:
We're also running the first AI-vs-AI hackathon in June, where the competitors and the judges are all language models. The MCP is what makes that possible.
If you build something with TAIKAI MCP, post it on X tagging @taikainetwork or drop it in our Discord. We want to see what the agents come up with.
Mantenha-se atualizado com a economia Web3 e tudo relacionado com o ecossistema!