Hawk AI MCP Server™ · AI Agents
Give AI agents governed database access
The Hawk AI MCP Server lets AI agents and assistants query your databases through the Model Context Protocol — under the same Zero Trust access control, read-only limits, and audit your people use. Powerful automation, no ungoverned back doors.
Per-token access & audit Read-only limits Works with MCP-compatible agents 
Why it matters
AI agents need database access — and a leash
Teams are wiring assistants and autonomous agents directly into production databases, often with a static connection string and full rights. That's a breach waiting to happen. The Hawk AI MCP Server puts agents behind the same Zero Trust control plane as your people, so they get exactly the access they should — and nothing more.
Same controls as humans
Agent queries obey object- and column-level access control and dynamic masking — no data an agent shouldn't see.
Read-only limits
Scope each agent to read-only or the specific operations it needs — no accidental writes or destructive commands.
Per-token audit
Every agent action is logged against its token and identity — a complete trail of what each agent did, and when.
What agents can do
Governed tools over the Model Context Protocol
list_datasources
Discover permitted connections
list_schemas · list_objects
Explore permitted schema
list_columns
Inspect table structure
run_query
Execute governed, masked SQL
text_to_sql
Turn intent into SQL
format_sql · optimize_sql
Clean & tune queries
The MCP Server exposes a focused set of governed tools. Agents discover and query your data through DBHawk — every call passes through your access policy first.
How a request is governed
Every agent call runs the same gauntlet
Token identity — each agent connects with a scoped token tied to a role.
Access policy — object, column, and row rules applied before any query runs.
Masking — sensitive fields redacted in results returned to the agent.
Read-only enforcement — write and DDL operations blocked unless explicitly permitted.
Audit — the call, query, and result logged for review.
FAQ
Hawk AI MCP Server — questions
What is the Model Context Protocol (MCP)?
MCP is an open standard that lets AI agents and assistants connect to external tools and data sources in a consistent way. The Hawk AI MCP Server implements MCP for databases, so any MCP-compatible agent can query your data through DBHawk's governed tools instead of a raw database connection.
How is agent access controlled?
Each agent connects with a scoped token tied to a role. Every request passes through DBHawk's access control, dynamic masking, and read-only limits before touching the database, and every action is audited per token. Agents get exactly the access their role allows — nothing more.
Can I limit agents to read-only?
Yes. You can scope an agent to read-only or to the specific operations it needs. Write and DDL operations are blocked unless you explicitly permit them, so an agent can't accidentally modify or drop data.
Which databases and agents does it work with?
The MCP Server works with MCP-compatible AI agents and assistants, and provides governed access across DBHawk's 20+ supported databases — the same access-control and audit model everywhere.
Let AI agents use your databases — safely
See how the Hawk AI MCP Server gives agents governed, read-only, fully audited access under your Zero Trust policy.