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Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 5:30:40 PM

Releases

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Local MCP server enforcing AI governance with policy gates, DLP redaction, cost caps, and tamper-evident audit logging.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Proofpane/releases, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”— More in Aggregators

Overview

This MCP server runs locally to enforce AI governance by routing AI tool calls through configurable policy gates that allow, deny, redact, or require human approval. It performs data loss prevention redaction before exposing data to models and tracks usage with cost caps. Every action is recorded in a SHA-256 hash-chained, append-only audit log that exports as an Ed25519-signed evidence pack verifiable offline without trust in the operator or vendor. Use it to add runtime governance controls and auditability to AI agents on macOS, Linux, or Windows.

Use cases

β€’Enforce runtime policy gates on AI tool calls
β€’Redact sensitive data locally before model access
β€’Record tamper-evident audit logs of AI actions
β€’Apply cost caps to AI tool usage
β€’Integrate human-in-the-loop approval in AI workflows

Key features

β€’Local stdio MCP server exposing governed tools
β€’Policy gating with allow, deny, redact, and pause
β€’DLP redaction before model input
β€’SHA-256 hash-chained, append-only audit log
β€’Ed25519-signed offline-verifiable evidence export
β€’Supports multiple tools including bash, read, write, grep, and search

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Releases.

Extracted Tool Capabilities
Local stdio MCP server exposing governed tools
Policy gating with allow, deny, redact, and pause
DLP redaction before model input
SHA-256 hash-chained, append-only audit log
Ed25519-signed offline-verifiable evidence export
Supports multiple tools including bash, read, write, grep, and search

Documentation Overview

Proofpane

Proofpane is an AI governance platform β€” the evidence plane for governed AI work. Every AI action across coding agents (Claude Code, Cursor, Codex, Hermes, Claude Desktop), workflow platforms (n8n, UiPath, Power Automate, Zapier, Make) and direct LLM API calls is policy-gated in the execution path (allow / deny / redact / pause for a human), cost-metered, and recorded in a SHA-256 hash-chained, tamper-evident audit log that exports as an Ed25519-signed Evidence Pack an auditor verifies offline β€” no vendor account, no trust in us required.

The architecture

The Proofpane Architecture for AI Governance β€” every AI action passes a policy gate in the execution path; every decision lands on a hash-chained audit log; evidence exports as a signed pack verified outside the operator and the vendor

Our claim: governance must happen at runtime, and the record it leaves must be tamper-evident. A policy that is checked after the fact governs nothing β€” by the time a review reads the log, the secret has left, the payment has cleared, the decision has shipped. So the gate sits in the execution path: the AI action does not complete until policy has allowed it, redacted it, or paused it for a human. And a record the operator can quietly edit proves nothing β€” so every decision is appended to a SHA-256 hash-chained, append-only log (DB-level immutability trigger, Ed25519 chain-head anchoring) whose export any auditor can verify offline, against a published rubric, without trusting the operator or us. Runtime enforcement produces the evidence; the evidence does not depend on anyone's word β€” including ours.

The architecture is a public, versioned reference β€” not a private rubric:

  • Read it: proofpane.com/architecture β€” interactive map + full Markdown spec
  • Cite it: DOI 10.5281/zenodo.21402331 (CC BY 4.0 β€” anyone may implement it)
  • Core claim: evidence must be checkable by parties who trust neither the operator nor the vendor β€” and so must the rubric it is graded against. A standard that can quietly move is not a standard.

The MCP server below is one enforcement point of this architecture: the on-machine gate for MCP-speaking AI clients.

This repo

This repository mirrors Proofpane's public evidence and documentation and preserves historical daemon release artifacts. The main Proofpane codebase is private. The current supported binaries are served from https://app.proofpane.com/daemon/; the canonical version, digest and platform-signing record is docs/releases.json.

What you can do with just the download

No account, no pairing, no talking to us first:

  • Run the MCP server β€” airgov_daemon mcp serves 13 governed tools (bash, read, write, edit, glob, grep, listdir, RAG search, session search, skills) to any MCP client. Local policy gates and DLP redaction are active: a secret in a file read is masked before the model sees it, on your machine, with no cloud in the loop.
  • Scan your coverage β€” airgov_daemon coverage reads this machine's AI-client configs and shows which MCP servers route through governance and which run direct (ungoverned).
  • Check the monitoring switch β€” airgov_daemon monitoring-status, and disable / enable <app> to turn per-app monitoring off and on.
  • Preview usage extraction β€” airgov_daemon usage-sync --dry-run shows what token/usage data WOULD sync, without sending anything.

Pairing with a Proofpane org (airgov_daemon pair <CODE>) connects the daemon to the server side: the cloud audit chain, human-approval gates, org-wide policy sync, and Evidence Pack export.

Proofpane MCP server

airgov_daemon mcp is a stdio Model Context Protocol server β€” a governance layer that runs on the user's machine and exposes local tools to MCP clients (Claude Desktop, Cursor, Codex, …) under policy control. Every call is policy-gated, DLP-redacted before a model sees a secret, and recorded on a hash-chained, offline-verifiable audit trail.

Tools advertised (tools/list, no pairing needed): bash, read, write, edit, glob, grep, listdir, search_compliance_docs, ingest_to_rag, session_search, skills_list, skill_view, skill_manage.

Run it

bash
airgov_daemon mcp     # stdio MCP server (from a downloaded binary)

Container / directory checks (e.g. Glama)

A Dockerfile is included that pulls the public prebuilt Linux binary and runs the server in mcp mode, so an automated directory can start it and introspect (initialize + tools/list) without the private source:

Terminal
docker build -t proofpane-mcp .
docker run --rm -i proofpane-mcp     # speaks stdio MCP

Get the current daemon

Use the fail-closed installer at proofpane.com/install. It selects the native artifact, verifies its published SHA-256, and on macOS requires the exact PROOFPANE LIMITED Developer ID (team B94QM75QNG) plus Apple's accepted notarisation verdict before replacing an installed file.

The current channel is https://app.proofpane.com/daemon/ and its authority is docs/releases.json. The public GitHub binary archive currently stops at daemon v1.5.19; it is preserved as history and is not the current distribution channel.

SHA-256 verification

Every current binary has a .sha256 sibling. The installer verifies it automatically before installation. For manual inspection, download the artifact and its sibling from https://app.proofpane.com/daemon/ and compare them with shasum -a 256 (macOS) or sha256sum (Linux). The platform matrix and expected digests are also recorded in docs/releases.json.

Reporting issues

For daemon issues, email Louie.Lu@proofpane.com.

License

This mirror repo's scaffolding (this README, the Dockerfile, glama.json) is released under the MIT License. The Proofpane daemon it distributes is proprietary software β€” see proofpane.com. The architecture reference is CC BY 4.0 via its DOI.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

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Last commit
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Frequently Asked Questions about Releases

No account or pairing is required to run the MCP server locally with built-in governance and tools.

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Technical Specs & Signals

CategoryπŸ”—Aggregators
More technical detailsExpand β–Ύ
Last updatedAug 12, 2026
10/11 checks healthy over the last 32d
Views1
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 12, 2026
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in πŸ”— Aggregators β†’Alternatives to Releases β†’Install in Claude DesktopInstall in CursorInstall in VS Code