getTipRanksAnalystSummary
Get an aggregated rollup of every recommendation one analyst has issued over a date window with the FMP Ratings Summary by Analyst API (TipRanks partner data), including their price-target track record. The window defaults to the trailing twelve months.
This record as markdown: /tools/io-github-imbenrabi-financial-modeling-prep-mcp-server/gettipranksanalystsummary.md
What getTipRanksAnalystSummary does on Financial Modeling Prep MCP Server
AI agents call getTipRanksAnalystSummary to retrieve information from Financial Modeling Prep MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why getTipRanksAnalystSummary is rated Low
Retrieves analyst recommendations and price-target data without modifying or executing financial transactions.
From the tool's definition Get aggregated rollup of every recommendation, analyst price-target track record
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs getTipRanksAnalystSummary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getTipRanksAnalystSummary, this is the rule to start with:
getTipRanksAnalystSummary is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep MCP Server, apply this rule, and every getTipRanksAnalystSummary call is checked against it from then on.
Questions about getTipRanksAnalystSummary
Get an aggregated rollup of every recommendation one analyst has issued over a date window with the FMP Ratings Summary by Analyst API (TipRanks partner data), including their price-target track record. The window defaults to the trailing twelve months. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for getTipRanksAnalystSummary: 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 Financial Modeling Prep MCP Server. Nothing to install.
getTipRanksAnalystSummary 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 getTipRanksAnalystSummary 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 getTipRanksAnalystSummary. 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.
getTipRanksAnalystSummary is provided by the Financial Modeling Prep MCP Server MCP server (financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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