search_intelligence
Semantic (meaning-based) search over DC Hub's live intelligence corpus — industry news, M&A deals, discovered facilities and per-market DCPI analysis narratives — returning the most relevant records with citable source fields. This is the agent-friendly alias over the SAME retrieval layer as sema...
This record as markdown: /tools/cloud-dchub-mcp-server/search-intelligence.md
What search_intelligence does on Mcp Server
AI agents call search_intelligence to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | — | Alias for query |
limit | number | — | Max results to return, 1-15 (default 8) |
query | string | — | Natural-language query (required), e.g. "grids opening up for AI load in the Southeast" |
corpus | string | — | Optional corpus to restrict to: news | deals | facilities | market_narratives. CSV of several is allowed; default searches all. |
Parameters from the server's own tool schema.
Why search_intelligence is rated Low
Retrieves and queries data from intelligence databases without modifying, deleting, or executing operations.
From the tool's definition Semantic search over intelligence corpus; retrieval; returns records with sources.
Attacks that exploit this kind of access
The rule that runs search_intelligence safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_intelligence, this is the rule to start with:
search_intelligence 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 Server, apply this rule, and every search_intelligence call is checked against it from then on.
Questions about search_intelligence
Semantic (meaning-based) search over DC Hub's live intelligence corpus — industry news, M&A deals, discovered facilities and per-market DCPI analysis narratives — returning the most relevant records with citable source fields. This is the agent-friendly alias over the SAME retrieval layer as semantic_search: same results, different call shape. It takes query plus human-readable corpus names (news | deals | facilities | market_narratives); semantic_search takes q plus the raw table names. Call ONE of them, not both. Params: query (required, natural language); corpus (optional CSV of the four names above, default all); limit (1-15, default 8). BEHAVIOUR: read-only — it writes nothing, and repeat calls with the same arguments return the same records. ACCESS: works with no key, but anonymous results come back as a TRIMMED PREVIEW; the session X-API-Key hydrates full depth per key, and the free tier is capped per day (call claim_free_key once — no email — if you do not hold a key). Do NOT use when you can filter exactly: search_facilities for structured facility filters, get_news for date/keyword news, list_transactions for deal filters — those match fields and return complete sets, where this ranks by meaning and returns a top-N. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
search_intelligence accepts 4 parameters: q, limit, query, corpus. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Server MCP server in PolicyLayer and add a rule for search_intelligence: 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 Server. Nothing to install.
search_intelligence 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 search_intelligence 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 search_intelligence. 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.
search_intelligence is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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