Blog · Page 4
Governing AI agents in the apps you already run
How the gateways compare, what to restrict, what the audit log has to capture, and what each team does with it.
Designing roles for AI agents: one role each
Design roles for AI agents as one complete job per person: Elaichi gives each member exactly one role and leaves which tools they reach to restrictions.
AI agents and PHI: four questions for your BAA
AI agents and PHI raise four BAA questions, all about access: minimum necessary, audit controls, workforce clearance and what happens when someone leaves.
Let IT post to one Slack channel from Claude
IT can post to one Slack channel from Claude when Elaichi freezes the channel argument. Channel reads stay open, and opening DMs is restricted for the role.
What an AI agent audit log must capture
An AI agent audit log must capture who acted, which client called, which account was reached, what was tried and how it ended. Argument contents stay out.
Is Composio secure enough for enterprise use?
The answer to "is Composio secure enough for enterprise use" sits in architecture more than controls: its own pages list SSO, role permissions and call logs.
MintMCP alternative when you run no MCP servers
If you run no MCP servers, Elaichi is a MintMCP alternative that writes and hosts its own connectors and serves them through one MCP endpoint.
HR can read Rippling in Claude, not run payroll
HR can read Rippling in Claude through Elaichi: workers, teams and departments. The connector has no payroll-run tool, and one rule keeps HR to reads.
Restrict one AI tool or the whole app? Six cases
Restrict one AI tool when a role needs part of an app, and block the whole app when it needs none of it. Six cases, and what new tools do to each rule.
Proving AI actions in access review evidence
To prove AI actions in access review evidence, record the person and the client behind each call as it happens. SaaS logs name the account, not the client.
Zendesk for support agents, minus bulk deletes
Zendesk for support agents in Claude: let them read and update tickets, block deletes and bulk sends, and give the lead one exception.
What is an MCP gateway? The four shapes
What is an MCP gateway: one address between AI clients and their tools that signs people in, applies rules and records calls. It comes in four shapes.
Best MCP gateways for company-wide AI access
The best MCP gateways come in four shapes: a hosted catalog, a gateway you run, a per-member server or a control plane. Pick the shape, then the vendor.
Elaichi vs Merge Agent Handler: three forks
Elaichi vs Merge Agent Handler comes down to three forks: one address or many, a grant or a stored secret, and who authors the connectors.
MCP server registry vs first-party connectors
MCP server registry vs first-party connectors comes down to who fixes a broken tool: each server's own author, or one vendor that wrote and serves them.
How to roll out Cursor to an engineering team
To roll out Cursor to an engineering team, connect Jira and Slack once, block deletes per role, pin the project and channel, then have engineers sign in.
OAuth or API keys for AI agents?
Choosing OAuth or API keys for AI agents comes down to revocation: a grant is checked on every call, while a key works until someone rotates it.
Offboarding AI access, contractors included
Offboarding AI access in Elaichi takes effect on the next call. Here is what the removal preflight checks, and the order that works.
Which Notion workspace did ChatGPT write to?
Elaichi's audit trail names the Notion workspace each ChatGPT call reached. Pin the connection or database first, and the other workspace is out of reach.
Shadow AI browser extension log: what it proves
A shadow AI browser extension log proves which AI extensions are installed, where, and which sites they asked to read. It cannot show what anyone pasted.
An API gateway for MCP, or an MCP-native server?
An API gateway for MCP fits when the tools are your own APIs, already behind it. For SaaS accounts your staff sign in to, an MCP-native server fits better.
MCP gateway pricing: per seat vs per call
MCP gateway pricing is metered per call, per task or per seat. Per call is cheaper at low volume; per seat is the bill a company can forecast.
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