bernstein-mcp

Verifies Bernstein run receipts and hash chains; lists the shipped presets and adapters.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Verifies Bernstein run receipts and hash chains; lists the shipped presets and adapters. Read-only.

    How to connect

    How to connect bernstein-mcp to Claude

    The server address to paste into Claude settings:

    https://mcp.bernstein.run/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect bernstein-mcp to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.bernstein.run/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect bernstein-mcp to Cursor

    The server address to paste into Cursor settings:

    https://mcp.bernstein.run/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (11)

    Raw names from tools/list. Only developers need these.

    server_infoIdentity, version, and request limits for this MCP server.
    verify_receiptRecompute every hash chain a bernstein run receipt embeds (journal, lineage spine, optional audit range), rebuild the signed subject from the recomputed heads, and check the Ed25519 signature with the key the receipt carries. Needs no secret and reads nothing but the receipt. Returns the verdict, the first failing check, one line per check, and the same verdict as a DSSE envelope signed by this verifier's Ed25519 key (public key at keys_url) so the outcome can be kept and re-checked offline.
    explain_receiptVerify a run receipt and narrate the result in plain language: what the run recorded, which chains recomputed, where the first divergence is, and what an auditor can and cannot conclude without the producing install's keys.
    verify_chainWalk bernstein chain rows and recompute every link: journal rows (event_hash), lineage spine entries (entry_hash) or audit events (prev_hmac linkage). The row kind is detected from the fields, or pass `kind` explicitly. Reports the first divergent index. Pass `entries` as the file text (a JSON array or one row per line, as journal.jsonl is written) for byte-exact hashing; a parsed array also works, but then a float spelled 1.0 or -0.0 in the file cannot be told apart from an integer.
    verify_trace_recordTRACE v0.2 conformance checks on one Trust Record, stateless, no account: schema (vendored trace-claim.json), profile, subject URI, software-only runtime rule, policy digest, public-only confirmation key, the embedded signature (EdDSA, ES256 or ES384 with the key in cnf.jwk), appraisal, delegation link shape and references. Nothing is fetched: resolvers are checked as URIs only. `record_sha256` is the RFC 8785 digest of the complete record, signature included — the value a child hop puts in delegation.parent_record_hash.
    verify_agent_manifestAgent Manifest v0.2 conformance checks on one manifest, stateless, no account: schema (vendored agent-manifest.schema.json), profile context, version, canonicalization, COSE envelope signature (Ed25519, key identified by kid in the protected header; ML-DSA-65 is reported unverifiable). Optionally checks that a TRACE Trust Record cites this manifest by digest. Nothing is fetched; resolvers are checked as URIs only. The manifest hash is sha256 over the COSE payload bytes (or RFC 8785 canonical JSON for object input).
    verify_delegation_chainTRACE v0.2 delegation-chain conformance, stateless, no account: index every Trust Record by the RFC 8785 digest of its complete form, start at the leaf, follow delegation.parent_record_hash to the root, and check each hop's signature, the root key against `trusted_root_keys`, the depth bound, the link's digest algorithm, the credential (registered, issuer = parent subject, holder = record subject, window at the hop's own iat) and data_class narrowing under `data_class_lattice`. Classification: provenance-invalid outranks authorization-invalid; an unread link is unverifiable, not broken. Pass `records` as a JSON array or as file text (one record per line or a JSON array).
    explain_trace_mappingHow a bernstein run maps onto a TRACE v0.2 Trust Record: one row per claim with the journal field it is sourced from and the rule that derives it. Pass a run receipt to fill in the rows its embedded journal can answer (subject, iat, model, data_class, policy digest, tool transcript) alongside the receipt's own verdict.
    list_presetsThe compliance presets bernstein v3.19.2 ships, with the switches each one turns on.
    get_presetEvery field of one compliance preset as bernstein v3.19.2 resolves it.
    list_adaptersThe agent adapters bundled with bernstein v3.19.2: adapter name, the binary it drives, the module that implements it.