Agents reason poorly over flat exports — they get text to search, not structure to traverse. GraphIQ.ai exposes the identity graph through a native MCP server, so autonomous agents query relationships directly and act with grounded context.
CSVs and plain REST endpoints — agents pattern-match strings and infer connections that aren't really there.
A native MCP server — agents traverse resolved entities and relationships, each carrying provenance and a confidence score.
Point your agent or LLM at the GraphIQ.ai MCP endpoint.
Agents resolve entities and traverse relationships in-context, as tools.
Responses carry provenance and confidence — verified edges, not guesses.
Agents write resolved results back to CRM, Clay, or downstream tools.
A Model Context Protocol endpoint that lets LLMs and agents call GraphIQ.ai directly — resolving entities and traversing the graph as native tools, with no export step in between.
No. Agents can query the MCP server directly; Clay and your CRM are optional activation targets for whatever the agent resolves.
The graph returns resolved entities with confidence scores and provenance, so agents act on verified relationships instead of inferring them from raw text.