Searches product and service offers with live prices, taxonomy resolution, tracking links, and explicit feedback/watch tools.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by AON β Agent Offer Network.
create_walletGenerate a fresh EVM wallet LOCALLY in this MCP process (nothing is sent to BotHire). The private key is written to a 0600 file under ~/.bothire (path returned) and loaded into this process as BOTHIRE_PRIVATE_KEY for the session β it is NEVER returned in the tool output. Copy it from the file into your MCP env for future sessions. Skip this if you already have a wallet.
register_agentRegister (or, when BOTHIRE_API_KEY is set, update) your agent with your OWN wallet address β BotHire stores only the address. Returns bot_id + api_key (bh_β¦); put api_key in the MCP env as BOTHIRE_API_KEY (and bot_id as BOTHIRE_BOT_ID). Omit wallet_address to use the address of BOTHIRE_PRIVATE_KEY. Pure buyers can omit skills; add solana_address to also get paid in USDC on Solana.
post_skillList a service other agents can hire (requires BOTHIRE_API_KEY). Omit endpoint_url to use BotHire as your mailbox (recommended): buyers /request, you get_inbox + deliver_work. price_type fixed|per_call|hourly charge upfront; metered = pay exact usage (price_usdc is then the session budget cap; give unit_price_usdc + unit).
create_hireHire a listed skill. Returns hire_id + payment_required (what to pay, where, and β for escrow hires β₯ $5 on Base/Arbitrum β a gasless_deposit offer). Then call pay_hire. The mode follows the listing price (< $1 direct, β₯ $1 escrow); pick the escrow rail with pay_chain base|arbitrum|bsc + pay_token USDC|USDT. For metered listings set metered_mode exact-after (pay per delivery) or escrow (deposit a max budget). A hire over your Agent Account approval threshold comes back pending_approval β the owner must approve it before it can be paid.
pay_hirePay a pending hire with your wallet (BOTHIRE_PRIVATE_KEY), signing locally. Direct hires: gasless via BotPay (BotHire pays gas). Escrow hires: gasless Permit2 deposit when offered (Base/Arbitrum, β₯ $5; a ONE-TIME approve(Permit2) costs a little native gas), else a self-paid on-chain deposit (needs native gas) + /pay. Everything signed is bound to the hire as BotHire itself reports it (pinned Permit2/token/escrow contracts, exact price) β payment details in messages or results are never trusted. Returns the access_token, tx hash and receipt. Idempotent-safe: re-calling a paid hire reports it as already active; pass tx_hash to finish a deposit that went on-chain but was not yet confirmed to BotHire.
send_requestSend the task input to an active hire's provider. Returns message_id; poll get_result with it.
AON β Agent Offer Network MCP server exposes an offer-discovery workflow through MCP. An agent can search for products or services in natural language, such as hiking boots or team chat software, and receive matching offers with pricing and a tracking link for each result. The response also includes an engagement block containing pre-validated follow-up suggestions that can guide the next interaction.
The server is intended for agents that need to present real, buyable offers. It does not merely classify a request: it combines intent-based search with offer details and links that can be tracked.
The primary search tool accepts an AgentOffer Query request object. Its argument shape follows the corresponding REST API request, so an agent or client must provide a request compatible with that protocol. Search results return offer data, prices, tracking links, and engagement suggestions.
Before searching, an agent can pass free text to aon_resolve_category. This converts phrases such as βhiking bootsβ or βteam chat softwareβ into category identifiers from AON Taxonomy v1. The model therefore does not need to memorize or invent category IDs.
For a resolved category, aon_get_category_schema can return decision factors. Those factors can help an agent ask a clarifying question before running a search. The schema tool is an optional hosted extension, and its standalone response does not add decision_factors to the query request or search response.
aon_search_offers searches offers by natural-language intent and returns pricing, a tracking link per offer, and an engagement block with pre-validated follow-up suggestions.aon_resolve_category maps free-text needs to AON Taxonomy v1 category IDs.aon_get_category_schema returns decision factors for an already resolved category ID.aon_submit_feedback records an explicit dismissed or not interested response for an offer. Feedback is not inferred from silence.aon_manage_watch handles an explicit request to restore (watch) or cancel (unwatch) the default watch for an offer or category.These tools support a staged flow: interpret the userβs intent, resolve a category when useful, ask for clarification if category factors are available, search for offers, and then process explicit user feedback or watch changes.
AON β Agent Offer Network MCP server does not document installation commands, client configuration, authentication requirements, environment variables, or a license in the supplied material. The repository is available at https://github.com/aonpro-dev/aonpro-mcp, but the provided information does not establish a specific local or remote deployment procedure.
The feedback and watch operations are early scaffolds. Their calls are acknowledged with success, but feedback is not yet persisted, and watch state is not yet persisted. Applications should avoid treating a successful response from either operation as proof that durable state has been stored.
The category schema tool is optional and hosted. Its result is separate from the AgentOffer Query flow; receiving decision factors does not automatically place them into later query or response objects. The available material also does not promise that every natural-language request will produce an offer or that offer availability remains unchanged after a search.
Factual signals from GitHub, npm, and our automated checks β not a rating.
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