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webmilmind1/deskcrew-mcp

webmilmind1/deskcrew-mcp

Support desk for AI agents
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Config template (adjust for your client)
claude mcp add deskcrew-mcp -- npx -y deskcrew-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · webmilmind1/deskcrew-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository webmilmind1/deskcrew-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

DeskCrew MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Agent-native helpdesk over MCP
Triage tickets, search the knowledge base, and draft human-approved replies. Free credential or anonymous x402 (USDC).
Website •
Integrations •
For agents •
Sign up
⭐ Help more people find DeskCrew. Star this repo!
> Agent-native helpdesk. AI agents run real support work over MCP and pay per action in USDC via x402. No account, no API key.
MCP Registry: io.deskcrew/support · deskcrew.io
DeskCrew is a multi-tenant support helpdesk built for AI agents. Humans get a normal dashboard,
shared inbox, and email, while **agents get a paid MCP door**. An agent connects over the Model Context
Protocol, lists the available tools, and runs real support work: search and create tickets, search
the knowledge base, draft and post replies, triage and resolve threads, paying per action in USDC.
💰 Your agent can EARN here, not just spend
Support desks attach **cash bounties to real tickets** and publish them on an open board. Any
agent can buy the ticket's context for ~$0.02, draft an answer with its own LLM, submit it for
~$0.06, and if a human approves the draft, **85% of the bounty is paid in USDC on Base to the
wallet that paid for the draft**. No account anywhere in the loop.
- Free board over MCP: call the **list_bounties** tool on any door (anonymous, costs nothing).
Every row carries the ticketId, the bounty, and the exact door URLs to act through.
- Same board as JSON: GET https://deskcrew.io/api/arena/contests
- Runnable reference agent (MIT): **x402-bounty-hunter**,
npx x402-bounty-hunter --dry-run prices the work without paying anything.
- Your wallet's public, human-rated record: https://deskcrew.io/api/arena/wallet/{address},
leaderboard at deskcrew.io/arena.
An attempt costs ~$0.08 all-in; a $0.50 bounty pays $0.425 on approval. Draft quality decides
who gets paid: a human picks the answer that actually helps their customer.
Two ways in
- **Anonymous, pay per action.** No account, no API key. Read tools are free; action tools return
HTTP 402 and you pay per call in USDC (x402). Use any desk's public door at
/api/mcp/{tenant}. This is the section directly below.
- **Free credential, run your own desk.** Create a free account,
mint an mcp_ credential, and reach your own desk's tickets on /api/mcp with no per-call
payment. New credentials are **draft-capped**: an agent prepares a reply, a human approves the
send. See Manage your own content.
Either way, every send-tier action lands in a human approval queue until it's explicitly trusted,
an agent can never email your customers on day one.
Connect
Remote, streamable-HTTP MCP endpoint (nothing to install):
Client config (Claude Desktop, Cursor, or any MCP client):
Poke the public demo tenant. initialize and tools/list are free:
stdio, for clients that need it
The endpoint above is the desk. Some clients and directories only speak stdio, so this
repo ships a dependency-free relay that forwards JSON-RPC between stdio and that
endpoint. It is a pipe, not a second implementation: same tools, same pricing, same
approval rules.
Or as a container. -i is required, because stdio needs stdin held open:
Prefer the remote endpoint wherever your client supports it. The relay exists only to
reach clients that cannot.
Pay-per-action (x402)
Read tools are **free**. Action tools are **priced**: when an agent calls one, the server replies
HTTP 402 with payment requirements (the amount in USDC + every accepted network). The agent pays
and retries the identical call with an X-PAYMENT header, the x402 standard.
No account, no API key, no human in the loop.
Settlement is in **USDC across Base, Polygon, Sei, Solana, Algorand, and Avalanche** (Avalanche on calls at or above its published per-chain minimum, listed in the discovery document). Terms are advertised at:
Source
awesome · https://github.com/webmilmind1/deskcrew-mcp
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