API evidence
Inspect saved requests and redacted history, review environments, and send policy-allowed requests.
MCP Integration
Unfour MCP is a local stdio MCP server for Codex, Cursor, and compatible clients. It exposes approved API, SSH, and Database tools using the same saved workspace resources as the desktop UI; Flow tools manage and execute the same local runbooks.
For developers using Codex, Cursor, or another MCP-compatible coding agent who need to check whether a change worked in the target environment, under workspace policy and user control.
Read the docsThe coding agent edits the repository with its own coding tools. Unfour supplies the controlled runtime side of the investigation; it is not an IDE, does not manage repository code, and does not run a full coding agent.
The local stdio MCP server lets an agent move from code-level reasoning to API, server, and database evidence through Unfour’s command and policy layers.
Inspect saved requests and redacted history, review environments, and send policy-allowed requests.
Review command history, run scoped diagnostics, inspect remote files, and work with saved SSH tasks.
List saved connections and schemas, run read-only queries or explain output, and use policy-controlled execution.
List, read, save, delete, run, or cancel local Flows and inspect run history. The tools share the desktop definitions and resources; running a Flow requires confirmation even in full access and is blocked by read-only policy.
Resolve the active workspace, environment, variables, connections, and recent local activity before acting.
Tool calls are checked against workspace policy. When policy or backend safety requires confirmation, approval is bound to the exact action content.
Use guided setup for Codex and Cursor, or manually configure another MCP-compatible client that supports a local stdio server.
Example workflow
Codex or Cursor uses its own tools for reviewed code changes. With the changed service running in the intended environment, use Unfour MCP to repeat requests, inspect SSH logs, and query database state. Flow tools can execute saved local runbooks for known checks; interpretation and remediation remain user-directed.
AI-assisted, not fully autonomous
MCP operations run through the local Unfour workspace. Tools are explicit, scoped, redacted where needed, and subject to policy before the agent receives evidence or performs an action.
MCP blocks secret-reveal operations; scoped masking does not guarantee that arbitrary tool output contains no confidential text.
Tools operate on saved, workspace-scoped resources; Flow definitions and history remain local-only.
Auto policy maps dev to full access, test to guarded, and prod to read-only. Explicit policy overrides auto; full access does not guarantee a prompt for every risky action.
The AI agent gathers evidence and proposes next steps; the user remains in control.
Short answers about compatibility, credentials, permissions, and control.
Unfour MCP is a local stdio server exposing approved API, SSH, Database, workspace, activity, and system tools. Codex and Cursor use the same saved resources as the desktop UI. Flow tools manage and execute local runbooks.
Unfour provides guided configuration for Codex and Cursor. Other MCP-compatible clients can connect when they support a manually configured local stdio server.
SSH and database credentials use local secret storage and are resolved on the device for requested connections. MCP blocks secret-reveal operations, but logs, query results, and other free text can still contain confidential information. Review what you expose to the connected AI client.
No. Through Unfour MCP, agents can call only exposed tools within workspace policy. Policy or backend safety can require content-bound confirmation; full access does not guarantee a prompt for every risky action.
The Flow tools let Codex and Cursor manage local definitions, start and cancel runs, and inspect shared run history. Flow execution requires confirmation even with full access and is blocked by read-only policy. Flow V1 is local-only and is not cloud synced.
No. Unfour MCP supports a diagnose-then-act workflow, but it does not run an autonomous troubleshooting playbook. The developer reviews evidence and decides the fix.
Give the agent request definitions and response evidence.
Explore API ClientBring server diagnostics, history, files, and tasks into the investigation.
Explore SSH TerminalLet the agent inspect supported schemas and query database state.
Explore Database ExplorerDownload Unfour and configure the local MCP server from the desktop application.