Run a Fineract report by its exact name and return the results.
AI agents invoke run_fineract_report to trigger actions in Mcp Mifosx. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Running a report executes a server-side operation against a financial institution's core banking system. While it is primarily a read/query operation, the 'execute' framing and the context of a banking platform (where reports can trigger data exports, scheduled jobs, or parameterized queries including arbitrary SQL) elevates this beyond a simple Read.
From the tool's definition 'Run a Fineract report by its exact name and return the results' — executes a named report against a core banking system
Documented attack patterns abuse exactly the kind of access run_fineract_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Mifosx, and nothing reaches the server without passing your rules. This is the rule we recommend for run_fineract_report:
{
"version": "1",
"default": "deny",
"tools": {
"run_fineract_report": {
"limits": [
{
"counter": "run_fineract_report_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run_fineract_report stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Run a Fineract report by its exact name and return the results. It is categorised as a Execute tool in the Mcp Mifosx MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Mifosx MCP server in PolicyLayer and add a rule for run_fineract_report: 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 Mcp Mifosx. Nothing to install.
run_fineract_report is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_fineract_report 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 run_fineract_report. 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.
run_fineract_report is provided by the Mcp Mifosx MCP server (openmf/mcp-mifosx). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Mifosx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
73 Mcp Mifosx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.