business.entity-match
Fuzzy entity resolution: resolve a messy, free-text company name to its canonical GLEIF Legal Entity Identifier (LEI) with a 0-1 similarity score and high/medium/low confidence. Tolerant of legal-suffix noise (Inc/Ltd/GmbH/S.A.), word order, ampersands, punctuation, and former/alternate names (e.g.
This record as markdown: /tools/io-github-2s-io-mcp/business.entity-match.md
What business.entity-match does on Mcp
AI agents call business.entity-match to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why business.entity-match is rated Low
This tool queries and retrieves canonical company identifiers (LEI codes) based on fuzzy matching of company names against a reference database. It is purely informational—it searches, matches, and returns data with no side effects, no state changes, and no irreversible actions. This is a classic Read operation: a lookup/resolution service with output-only impact.
From the tool's definition Fuzzy entity resolution: resolve a messy, free-text company name to its canonical GLEIF Legal Entity Identifier (LEI) with a 0-1 similarity score and high/medium/low confidence.
Attacks that exploit this kind of access
The rule that runs business.entity-match safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For business.entity-match, this is the rule to start with:
business.entity-match 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 Mcp, apply this rule, and every business.entity-match call is checked against it from then on.
Questions about business.entity-match
Fuzzy entity resolution: resolve a messy, free-text company name to its canonical GLEIF Legal Entity Identifier (LEI) with a 0-1 similarity score and high/medium/low confidence. Tolerant of legal-suffix noise (Inc/Ltd/GmbH/S.A.), word order, ampersands, punctuation, and former/alternate names (e.g. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for business.entity-match: 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. Nothing to install.
business.entity-match 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 business.entity-match 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 business.entity-match. 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.
business.entity-match is provided by the MCP server (@2sio/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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