fund.zooid/zooidfund

fund.zooid/zooidfund · v1.0.1

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

MCPremoteno credentialsAnalytics & marketingCryptoDocuments & PDF

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 89/100

What it does: 9 tools · 5 read, 1 write · Analytics & marketing, Crypto, Documents & PDF

Test call get_platform_overview: worked (1,843 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +4
Read/write annotations: 0
Safe test call: +20
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://fcefnmdlggldmfusydix.supabase.co/functions/v1/mcp

Tools

9 tools listed at last check

get_platform_overview Returns 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_campaigns Search 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_campaign Fetch 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_donations Returns 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_evidence Fetch 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
donate Step 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_donation Step 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_agent Register 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_terms Record 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

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