@helm-protocol/ttt-mcp
v0.3.4
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Proof-of-Time attestation — Ed25519-signed timestamps with multi-source corroboration and explicit error bounds. IETF draft-helmprotocol-tttps
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@helm-protocol/ttt-mcp
Reference implementation of draft-helmprotocol-tttps (IETF Experimental)
Proof-of-Time attestation — Ed25519-signed timestamps with multi-source corroboration and explicit error bounds. IETF draft-helmprotocol-tttps
EU AI Act Art. 50 — AI-Generated Content Transparency
TTTPS provides cryptographic time-provenance for AI-generated content at the moment of creation. A pot_generate call anchors a tamper-evident timestamp to a cryptographic hash of the content record — independently of any embedded metadata.
C2PA complementarity: C2PA metadata is stripped during recapture, transcoding, and format conversion. TTTPS survives as an external anchor independently verifiable without metadata chain continuity — allowing forensic reconstruction of content provenance even when embedded markers are absent.
GDPR-compatible by design: PoT records contain no content and no personal identifiers. Each record binds a cryptographic hash (SHA-256 + HMAC-SHA256) to a multi-source time attestation. No plaintext content transits or is stored on Helm servers.
IETF specification: draft-helmprotocol-tttps (ISE track). Contact: [email protected].
The Problem: Workflow Amnesia
Every Claude Code long-horizon workflow hits the same wall: context compression erases action history.
Agent B has no memory of what Agent A decided. Agent A resumes after compression with no record of its own prior steps. Duplicate work. Lost decisions. State corruption.
ttt-mcp is the external causal chain that survives context compression.
Every workflow step is anchored to a cryptographic timestamp on an external server — physically separate from Claude's context window. When compression happens, agents call pot_query(eventId) for O(1) exact step recall and resume with full causal context.
Claude workflow → [context compressed] → agents call pot_query(eventId)
→ external server returns full timeline
→ workflow resumes, zero lost stateMathematical Guarantees
| Layer | Mechanism | Guarantee | |-------|-----------|-----------| | Identity | SHA-3 eventId (256-bit) | Collision probability 2⁻²⁵⁶ — practically zero | | Lookup | O(1) exact retrieval | No context consumed by history reconstruction | | Ordering | TTTPS causal timestamps | Total order on events — tamper-proof sequence proof | | Causal chain | prevEventId DAG | O(depth) traversal — depth ~100 for 1B-token workflows | | Non-repudiation | Ed25519 signature | Cryptographic proof of who acted when | | Resilience | Erasure-coded cryptographic shards | ≥97% recovery at BER=0.05, 99.88% at BER=0.02 (theoretical) | | Persistence | Redis AOF + 90-day TTL | Server survives context compression and restarts |
Quick Start
Claude Code
claude mcp add ttt -- npx -y @helm-protocol/[email protected]With an API key (raises the free limit to your plan's monthly quota):
claude mcp add ttt -e TTT_API_KEY=your-key -- npx -y @helm-protocol/[email protected]Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"ttt": {
"command": "npx",
"args": ["-y", "@helm-protocol/[email protected]"],
"env": { "TTT_API_KEY": "your-key" }
}
}
}Cursor
One-click install, or add the same mcpServers block above to .cursor/mcp.json.
Free tier: 100 calls/day per IP — no signup needed.
5-Minute Test
Once connected, run this sequence in Claude:
Step 1 — Stamp a workflow step:
Just tell Claude naturally:
"Stamp this step as my-first-step" "Record what I just did as refactor-auth-step1"
Claude calls pot_generate automatically. Or call it directly:
pot_generate(eventId: "my-first-step")Step 2 — Simulate context compression: start a new Claude session
Step 3 — Recover in the new session:
Tell Claude:
"What did I do in my-first-step?" "Recover my last workflow state"
Or call directly:
pot_query(eventId: "my-first-step")→ Returns exact record. Amnesia gone.
Step 4 — Build a causal chain:
pot_generate(eventId: "step-2", prevEventId: "my-first-step")
pot_graph(eventId: "step-2", depth: 5)→ Full backward chain. Cryptographically ordered.
8 Tools
| Tool | Purpose |
|------|---------|
| pot_generate | Stamp a workflow step with a cryptographic timestamp |
| pot_verify | Verify a PoT signature |
| pot_verify_v08 | Verify a draft-08 §3 Payload Digest record |
| pot_query | O(1) exact lookup by eventId — core amnesia recovery |
| pot_graph | Traverse causal DAG (backward + forward chain) |
| pot_checkpoint | Roll up events into a compressed summary — use every ~100 events or before long tasks |
| pot_stats | Server statistics and mode status |
| pot_health | Health check |
Tool Parameters
pot_generate
Stamp a workflow step with a cryptographic timestamp. For Claude Code: use eventId + prevEventId. For DeFi: use txHash + chainId + poolAddress. To bind the attestation to a specific piece of content (draft-08 §3 Payload Digest), also supply contentDigest. One of eventId, txHash, or contentDigest is required.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| eventId | string | Either/or | Workflow step identifier. E.g. "refactor_auth_step1" |
| prevEventId | string | No | Previous step's eventId — links steps into a causal chain |
| txHash | string | Either/or | Transaction hash (DeFi, hex with 0x prefix) |
| chainId | number | No | EVM chain ID (DeFi) |
| poolAddress | string | No | DEX pool contract address (DeFi) |
| contentDigest | string | Either/or | SHA-256 digest (lowercase hex, 64 chars) of the content this record attests to. Computed by the caller — the server never sees the content. When the local time synthesis meets draft-08's own requirements (≥3 independent sources, a representable error bound), the response includes a spec-conformant potRecordV08 binary record (hex); otherwise potRecordV08Error explains why not. |
| ctxId | string | No | draft-08 §3.3 context identifier (Commitment domain separator, max 255 octets). Defaults to a fixed server value; MAY be public. |
pot_verify_v08
Verify a draft-08 §3 record produced by pot_generate's potRecordV08 field: recomputes the Commitment, checks the Ed25519 signature, and — if content is supplied — checks it against the record's Payload Digest.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| potRecordV08 | string | Yes | Hex-encoded 184 or 216-octet record |
| ctxId | string | No | Must match what pot_generate used, or verification fails |
| issuerPubKey | string | No | Hex-encoded 32-byte raw Ed25519 public key. Defaults to this server's own key. |
| content | string | No | Payload to check against the record's Payload Digest field |
pot_query
Query Proof of Time records. Use eventId for O(1) exact lookup after context compression.
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | eventId | string | No | Exact step lookup — collision probability 2⁻²⁵⁶ | | startTime | number | No | Start time (unix ms). Default: 24h ago | | endTime | number | No | End time (unix ms). Default: now | | limit | number | No | Max entries to return. Default: 100, max: 1000 |
pot_graph
Traverse the causal chain from any step. Returns backward chain (ancestors) and forward chain (descendants).
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | eventId | string | Yes | Step to traverse from | | depth | number | No | Max backward depth. Default: 10, max: 100 |
Returns:
backwardChain— ancestors in chronological order (depth-compressed for large chains)forwardChain— steps that follow the given eventIdchainBroken—trueif a gap is detected (ancestor was evicted from ring buffer, or the chain root references an unknown entry)brokenAt—"server_restart"if the gap was caused by a server restart clearing in-memory state; otherwise the eventId at which the break occurred;nullif chain is intactreachableDepth— number of ancestors successfully traversed before the gap (or chain root)
Causal chain gap causes:
server_restart: the server restarted and the in-memory DAG was cleared. If Redis is available andREDIS_URLis set, the DAG is rebuilt from Redis on startup — reducing restart gaps.- Ring-buffer eviction: the ring buffer holds the most recent 10,000 events in memory. Ancestors beyond that window show as
chainBroken: truewithbrokenAtset to the oldest reachable eventId.
Recovering from a gap: call pot_checkpoint before long tasks to compress and preserve the chain within the token budget, or use Redis persistence to survive restarts.
pot_verify
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | potHash | string | Yes | PoT hash to verify (hex with 0x prefix) | | grgShards | string[] | Yes | Array of hex-encoded cryptographic integrity shards | | chainId | number | Yes | EVM chain ID | | poolAddress | string | Yes | Uniswap V4 pool address |
pot_stats
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| period | "day" | "week" | "month" | Yes | Time period for statistics |
pot_health
No parameters.
pot_checkpoint
Creates a compressed rollup checkpoint of workflow history.
Use when: Approaching context limit, before long tasks, or every ~100 events.
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | fromEventId | string | No | Start of range — first eventId in the causal chain to include | | toEventId | string | No | End of range — last eventId in the causal chain to include | | startTime | number | No | Unix ms. Default: 1 hour ago | | endTime | number | No | Unix ms. Default: now | | maxTokens | number | No | Approximate max tokens for rollup output. Default: 2000 |
Returns:
checkpointId— unique checkpoint identifierrollup— compressed event history (depth-adaptive: full/compact/minimal/rollup)summary— human-readable one-line summary of the checkpointchainIntact— whether the causal chain is unbrokennextCheckpointHint— recommended events before next checkpoint
Depth-adaptive compression:
| Depth | Format | ~Tokens | |-------|--------|---------| | 1–5 | Full entry | ~200/event | | 6–20 | Compact (id+hash+ts) | ~80/event | | 21–50 | Minimal (id+ts) | ~30/event | | 51+ | Rollup string | ~10/event |
Use Cases
1. Claude Code Workflow — Amnesia Prevention
Problem: A 20-agent Dynamic Workflow refactors a 500K-line codebase over hours. After each context compression, agents have no memory of what they already processed. Duplicate work. State corruption.
Solution: Each agent stamps its steps with pot_generate(eventId, prevEventId). After compression, it calls pot_query(eventId) to recover its exact action history — what ran, when, in what order — from the external server. The server is outside Claude's context window; compression never touches it.
// Agent starts a workflow step
const pot = await client.callTool({
name: "pot_generate",
arguments: {
eventId: "refactor_auth_module_step3",
prevEventId: "refactor_auth_module_step2"
}
});
// pot.potHash — cryptographic proof this step happened at this time
// After context compression, agent recovers its history:
const history = await client.callTool({
name: "pot_query",
arguments: { eventId: "refactor_auth_module_step3" }
});
// history.local[0] — exact record: timestamp, prevEventId, potHash
// history.found: true — O(1) lookup, collision probability 2⁻²⁵⁶
// Traverse full causal chain:
const chain = await client.callTool({
name: "pot_graph",
arguments: { eventId: "refactor_auth_module_step3", depth: 20 }
});
// chain.backwardChain — all ancestor steps in chronological order
// chain.forwardChain — steps that follow this one
// chain.chainBroken — true if a gap was detected in the ancestor chain
// chain.brokenAt — "server_restart" if the server restarted and cleared
// the in-memory DAG; otherwise the eventId of the oldest
// reachable ancestor before the gap; null if chain intact
// chain.reachableDepth — how many ancestors were recovered before the gap
// Handle a server-restart gap:
if (chain.chainBroken && chain.brokenAt === "server_restart") {
// Server cleared in-memory state; ancestors before the gap are gone unless
// Redis was configured (REDIS_URL) — in that case the DAG was rebuilt on
// restart and chainBroken will be false.
// Recover by querying the most recent checkpoint or restarting from a known step.
}Before a long task or every ~100 events — create a checkpoint:
// Compress workflow history before context fills up — by causal range:
const checkpoint = await client.callTool({
name: "pot_checkpoint",
arguments: {
fromEventId: "refactor_auth_module_step1",
toEventId: "refactor_auth_module_step3"
}
});
// checkpoint.checkpointId — store this; resume from it after compression
// checkpoint.rollup — depth-adaptive compressed history (10–200 tokens/event)
// checkpoint.chainIntact: true — causal chain verified unbroken
// checkpoint.nextCheckpointHint: 87 — suggested events before next checkpoint
// Or compress by time window with a token budget:
const checkpoint = await client.callTool({
name: "pot_checkpoint",
arguments: {
startTime: Date.now() - 3_600_000, // last 1 hour
maxTokens: 1500
}
});
// After context compression, restore from checkpoint instead of re-querying all events:
const history = await client.callTool({
name: "pot_query",
arguments: { eventId: checkpoint.checkpointId }
});
// Full causal context restored in a single callOutcome: Zero duplicate work. Full workflow timeline recoverable even after complete context resets.
2. MEV Bot — Transaction Ordering Proof
Problem: You got front-run. You can't prove it — mempool timestamps are per-node, unsigned, non-authoritative.
Solution: Call pot_generate before every submission. The PoT receipt is cryptographically signed using three independent time sources (NIST, Google, Cloudflare). The on-chain hash can be anchored via a separate Base Sepolia TTT ERC-1155 contract. If front-running occurs, you have a timestamped record predating the attacker's block inclusion.
const pot = await client.callTool({
name: "pot_generate",
arguments: { txHash: pendingTxHash, chainId: 8453, poolAddress: "0x..." }
});
// pot.potHash — your evidence, timestamped by NIST+Google+CloudflareNote: The DeFi path (
txHash+chainId+poolAddress) requires a server-side build with the integrity-shard pipeline enabled. It is not available in the publicopentttnpm package; calls without it will throw. The Claude Code path (eventId) works out of the box.
3. DEX Protocol — Sandwich Deterrence
Solution: Integrate TTTHookSimple (Uniswap V4 hook, Base Sepolia: 0x8C633b05b833a476925F7d9818da6E215760F2c7). Honest builders get turbo mode. Tampered sequences get full mode (penalty delay). Economics, not governance.
Note: Shard-based verification (
pot_verifywithgrgShards) requires a server-side build with the integrity-shard pipeline enabled — not available in the publicopentttnpm package.
4. Hedge Fund / Prop Desk — MiFIR Art.22c Compliance
Problem: MiFIR Article 22c / RTS 25 requires microsecond-precision UTC-synchronized timestamps. Hardware PTP appliances cost $50K–$500K.
Solution: pot_generate produces an Ed25519-signed timestamp with an uncertainty bound and multi-source attestation. Structurally compatible with the RTS 25 audit record format. One API call per trade.
const audit = await client.callTool({
name: "pot_generate",
arguments: { txHash: tradeHash, chainId: 8453 }
});
// audit.timestamp: high-resolution timestamp
// audit.uncertainty: ± bound (RTS 25 uncertainty field)
// audit.confidence: fraction of sources that agreedPrecision note: The default network time sources (Roughtime / NTP) provide a few-millisecond uncertainty bound. The MiFIR Art. 22c / RTS 25 ±1ms (and tighter) requirement is met only with an added GEO time source (KTSat); this is a roadmap configuration, not the default deployment.
Outcome: Structurally compatible audit trail. IETF specification: draft-helmprotocol-tttps.
5. Multi-Agent Coordination — Causal Order Proof
Problem: When multiple AI agents interact in a pipeline, the causal order matters for debugging and audit. Agent logs are unverifiable.
Solution: Each agent stamps its action with pot_generate. The potHash chain is independently verifiable. pot_graph reconstructs who did what and in what order.
How It Differs — A Different Job, Not "Better"
| Tool | Integration | What it recalls | Integrity | Hot-path cost | |------|-------------|-----------------|-----------|---------------| | Letta (MemGPT) | owns the agent loop | self-editing semantic memory | none | embedding + vector search per memory op | | LangGraph / LangMem | LangGraph only | graph state / semantic | none | checkpoint I/O (+ embeddings) | | RAG / vector DB | bolt-on | fuzzy similarity | none | embed + vector search per item | | ttt-mcp | 2-min MCP retrofit | exact causal step (by eventId) | Ed25519 + TTTPS timestamp | sign + hash + write — 0 embedding calls |
The cost difference is structural, not incidental.
Letta and Mem0 treat agent memory as a semantic search problem — every recall forces an LLM embedding call and a vector search. ttt-mcp bypasses the LLM/embedding layer entirely: state recovery is an O(1) cryptographic hash lookup. Marginal cost is commodity CPU + storage, not API tokens.
Scope: agents stamp the steps worth checkpointing — not every token, not every query. Volume tracks decisions, not total chat traffic.
If you need fuzzy semantic search over past conversations, use Letta or a vector DB. If you need a zero-embedding, deterministic state recovery layer for long-horizon workflows that survives context compaction, use ttt-mcp.
Pricing
| Tier | Price | Calls/month | |------|-------|-------------| | Free | $0 | 100/day per IP — no signup | | Dev | $29/mo | 100K | | Pro | $99/mo | 1M | | Team | $299/mo | 10M + $0.01/1K overage | | Enterprise | $999+/mo | 100M calls/mo · $0.001/1K overage · SLA 99.9% | | Platform License | Negotiated ($2M+/yr) | Volume cap negotiated · native integration |
Subscribe:
Dev $29/mo · Pro $99/mo · Team $299/mo — to subscribe, email [email protected].
Enterprise & Platform License: [email protected]
Contact: [email protected]
Quota mechanics — stdio vs HTTP:
- HTTP mode (Glama / Smithery container,
PORTset): the per-IP free tier limit (100 calls/day) is enforced locally in the server process. - stdio mode (Claude Code
npx, Claude Desktop): there is no per-IP counter. Tool calls are delegated toapi.kenosian.comviaX-TTT-API-Key; quota is enforced server-side against your plan's monthly allowance. WithoutTTT_API_KEYthe local fallback runs with no daily cap, but plan features (server-side DAG persistence, multi-session causal chains) are unavailable.
Requirements
- Node.js >= 18
- Network access for time synthesis (HTTPS to time.nist.gov, time.google.com, time.cloudflare.com)
Time source tiers (automatic fallback):
| Tier | Source | Stratum | Notes | |------|--------|---------|-------| | 1 (preferred) | PTP / hardware clock | 0–1 | Requires local PTP daemon | | 2 | Roughtime / NTP (NIST, Google, Cloudflare) | 2–4 | Default for most deployments | | 3 (offline fallback) | Local system clock | 16 | RFC 5905 unsynchronized stratum — used when all network sources are unreachable |
The server falls through to stratum 16 automatically; no manual configuration needed. The stratum field in every pot_generate response indicates which tier was used.
Redis persistence (optional):
Redis is not required. The in-memory DAG is authoritative at runtime. If REDIS_URL is set, events are written to Redis with a 90-day TTL and the DAG is rebuilt from Redis on server restart — reducing server_restart chain gaps. Without Redis, the in-memory DAG is cleared on restart.
Production Tips
Cold Start warm-up — On first startup, BatchSigner requires one request to initialize. Call pot_health or send a single dummy pot_generate before your load balancer health check goes live. Without this, the first request may see p99 ~500ms; subsequent requests stabilize to <10ms.
# Kubernetes / Docker: add to your startup script
curl -s http://your-server/pot/health > /dev/nullLearn More
- OpenTTT SDK — The underlying SDK
- IETF Draft: draft-helmprotocol-tttps — TTTPS Protocol Specification
- Helm Protocol — GitHub
License
BSL-1.1 — free for non-commercial use.
Commercial use (production bots, hedge funds, prop desks) requires a license.
Change Date: 2029-05-28 → Apache 2.0
