get_funder_stats
AI agents call get_funder_stats to retrieve information from Kindora-for-ChatGPT MCP server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to retrieve funding statistics or metrics about funders, consistent with the server's mission to expose public funder and grant data. No indication of data modification, deletion, code execution, or financial transactions. The empty description prevents full certainty, but the context strongly suggests read-only data retrieval.
From the tool's definition Tool name 'get_funder_stats' and server context indicate data retrieval from public grant/funder databases (IRS 990 filings, Grants.gov). Sibling tools (get_990_summary, get_foundation_grants, get_funder_profile, search_funders) are all Read operations.
Attacks that exploit this kind of access
get_funder_stats. It is categorised as a Read tool in the Kindora-for-ChatGPT MCP server MCP Server, which means it retrieves data without modifying state.
Register the Kindora-for-ChatGPT MCP server MCP server in PolicyLayer and add a rule for get_funder_stats: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Kindora-for-ChatGPT MCP server. Nothing to install.
get_funder_stats is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_funder_stats rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_funder_stats. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_funder_stats is provided by the Kindora-for-ChatGPT MCP server MCP server (wayanvota/kindora-chatgpt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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