MCP.Market

Oakallow MCP server

online · 100% uptime
by oakallow·io.github.oakallow/oakallow·v1.1.0·1 stars

Runtime permission, approval, and audit layer for AI agent tool execution.

B83/100grade B
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How Oakallow compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 68% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
102 ms
faster than 86% of 2,331 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers

Release history: 2 versions in the registry since 2026-05-29, latest 2026-10-23, typically one every 147 days.

Install Oakallow in Claude Code, Cursor or VS Code

claude mcp add --transport http oakallow https://api.oakallow.io/mcp
Add to Cursor

What the publisher says

From the Oakallow repository's README, as published. We do not edit it. Read it on GitHub

Oakallow MCP Server

Runtime permission, approval, and audit governance for AI agent tool execution.

Oakallow is a hosted remote MCP server. It sits between an agent and the actions it wants to take, so that a specific action can be checked, gated behind human approval when it is risky, authorized with a single-use signed token, and recorded in an immutable audit log, at the moment of execution.

  • Website: https://oakallow.com
  • MCP endpoint: https://api.oakallow.io/mcp (Streamable HTTP)
  • OAuth 2.1 compliance: https://oakallow.com/docs/oauth
  • MCP protocol details: https://oakallow.com/docs/mcp

What this connector is for

Oakallow injects a governance checkpoint into a workflow that may also use other connectors. An agent does its investigative work (for example, looking up an account through another connector), forms a recommendation, and calls Oakallow to request approval for the action. A human approver then decides in the Oakallow dashboard or mobile app, under enforced multi-factor authentication.

The connector is a requester and pass-through, not a decider:

action is approved.

  • It can list your tools, check permissions, request approvals, and mint run tokens once an

MFA-bound surface (the dashboard), never over the connector.

  • It cannot approve or deny on a human's behalf. Decisions happen on a separate,

Standard tools

\ checkpermission returns a read-only verdict only — it does NOT create an approval or a reference. (The approval and its REF-… are created when you call the gated tool itself through oakallow.) It does have one side effect by design: checking an unregistered tool makes Oakallow auto-create a gated draft entry for it (with conservative, fail-closed defaults) so the eventual call is governed and the owner can triage it from the dashboard. This is intentional: an unknown tool is never silently trusted.

Choosing an organization

An Oakallow account can have more than one organization, and each org sets its own tools, permission rules, approvers, and alert paths. So an action must be checked against the right org — that is what determines who gets asked to approve and under which rules.

checkpermission and listmytools accept an optional org argument: the org's external id (e.g. orgoak_…). The rule:

call is refused with guidance rather than guessing the wrong org.

  • One org on your account: omit org. The connector uses your only org.
  • More than one org: pass org naming the org the action targets. If you omit it, the

You don't ask the connector to list your orgs — there is no org-enumeration tool. Instead, download the org-specific skill from that org's dashboard. Each org's skill carries its own org id and tells the agent to pass it. Install one skill per org you operate in; the agent reads the matching skill and passes the right org on every call.

The connector authorizes the org you pass against your signed-in identity: you can only target an org you can actually act in (you are its team owner/admin, or you are in that org's approver group). Passing an org you don't have access to is refused — the skill is a convenience, not a grant of access.

Resources

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Oakallow: common questions

Is Oakallow MCP server safe?
Mostly: it is graded B (83/100). Read the Oakallow safety report
How do I install Oakallow?
It runs remotely at api.oakallow.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Oakallow need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Oakallow maintained?
The last commit was 133 days ago (2026-06-24). The latest release is v1.1.0.
Is Oakallow up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Oakallow?
Servers from other publishers that do the same job: agent-device MCP server, HOL Guard MCP server and Decionis MCP server.
How does Oakallow compare with other AI and agents MCP servers?
safety score 83/100 (higher than 68% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 102 ms (faster than 86% of 2,331 AI and agents servers). Full comparison.

Alternatives to Oakallow

Same job from other publishers: the closest match first, then the best rated.

  • agent-device
    Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
    A
  • HOL Guard
    Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
    A
  • Decionis
    Authorize consequential AI agent actions before execution
    A
  • Emilia Protocol
    Exact-action approval for consequential agent actions: request, track, and verify signed receipts.
    B
  • Agent Recall
    Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
    A