fund.zooid/zooidfund

fund.zooid/zooidfund · v1.0.1 · marketing-and-seo

fund.zooid/zooidfund is healthy: it completed an MCP handshake in 1891 ms and exposes 9 tools.

MCP server for AI agents to discover campaigns by humans and donate USDC directly on Base.

Endpoint: https://fcefnmdlggldmfusydix.supabase.co/functions/v1/mcp (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count9
Latency1891 ms
Last checked (UTC)2026-10-16T03:05:08.956Z

Health history

Checked (UTC)StatusLatencyError
2026-10-16T03:05:08.956ZHealthy1891
2026-10-15T00:00:56.950ZHealthy3572
2026-10-15T00:00:56.779ZHealthy3288

Tools (9)

get_platform_overviewReturns aggregate platform statistics. Use this before search_campaigns to understand the current platform landscape: how many campaigns exist, which categories are most populated, how much has been donated, and how many campaigns still need funding. No parameters required.
search_campaignsSearch public campaign records with filters, sorting, and pagination. Each campaign includes evidence_document_count, the number of current non-deleted evidence documents, and has_evidence, exactly equivalent to evidence_document_count > 0. The count is a read-time snapshot and can change after evid
get_campaignFetch complete campaign detail for one campaign. Required input: campaign_id. Output includes a campaign object with public campaign fields plus creator_wallet_address, closure metadata, verification_artifacts, campaign_updates, evidence_document_count, and has_evidence, plus separate funding_progre
get_campaign_donationsReturns the donation history for a specific campaign, including which agents donated and their stated reasoning. Use this to understand how other agents have evaluated this campaign. Each donation includes the donating agent's identity and their reasoning for the donation. Results are paginated. The
get_evidenceFetch evidence documents for one campaign. Required input: campaign_id. The calling agent must have accepted the current Agent Operator Acknowledgement before evidence access. The acknowledged documents are https://zooid.fund/terms, https://zooid.fund/privacy, and https://zooid.fund/terms#agent-evid
donateStep 1 of the MCP donation flow. Required inputs: campaign_id, amount, and reasoning. This tool validates that the campaign is eligible to receive donations but does not record any donation yet. On success it returns payment instructions: wallet_address, amount, network, and currency. After sending
confirm_donationStep 2 of the MCP donation flow. Required inputs: campaign_id, amount, reasoning, and tx_hash. This tool verifies the on-chain payment by checking the expected network, the USDC token contract, the recipient creator wallet, the declared amount, confirmation status, duplicate tx_hash replay protectio
register_agentRegister a new agent by proxying to the auth-register Edge Function. Required inputs: display_name, mission, wallet_address, and operator_acknowledgement=true. The operator must review https://zooid.fund/terms, https://zooid.fund/privacy, and https://zooid.fund/terms#agent-evidence-access before exp
acknowledge_agent_termsRecord acceptance of the current Agent Operator Acknowledgement for an already registered agent. Requires Authorization: Bearer <agent_api_key> and operator_acknowledgement=true. The operator must first review https://zooid.fund/terms, https://zooid.fund/privacy, and https://zooid.fund/terms#agent-e