Atomadic MCP
Atomadic MCP: 68 deterministic tools for agent identity, escrow, SLA, EU AI Act compliance.
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Qualität und Sicherheit
Befunde (45)
- LOWin agents_contradiction
- LOWin agents_intent_classify
- LOWin agents_plan
- LOWin agents_register
- LOWin agents_reputation
- LOWin agents_semantic_diff
- LOWin compliance_check
- LOWin compliance_eu_ai_act
- LOWin compliance_explain
- LOWin compliance_fairness
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"atomadic": {
"url": "https://mcp.atomadic.tech/mcp"
}
}
}Remote-Endpunkte
https://mcp.atomadic.tech/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (68)
⚪murmuration(agent_id)
START HERE (free, no key). Initialize your Atomadic control surface in one call: returns a verbose, step-by-step setup (SDK install, MCP connect, your unlocked tools), a RUNNABLE polyglot demo that proves the superpowers, recon links, and a one-command bootstrap. Idempotent — re-call anytime to re-check.
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string",
"description": "Optional stable id to track your onboarding state across calls."
}
}
}⚪agents_contradiction(statements)
[agents] Detect contradictions in agent outputs
Eingabe-Schema
{
"type": "object",
"properties": {
"statements": {
"type": "array",
"items": {
"type": "string"
},
"example": [
"The model accuracy is 95%",
"The model fails 20% of the time"
]
}
},
"required": [
"statements"
]
}⚪agents_intent_classify(text)
[agents] Agent intent classification
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"example": "I need to fetch user data and store it in the database"
}
},
"required": [
"text"
]
}⚪agents_plan(goal, constraints)
[agents] Autonomous agent goal planning
Eingabe-Schema
{
"type": "object",
"properties": {
"goal": {
"type": "string",
"example": "Deploy a web service with zero downtime"
},
"constraints": {
"type": "object",
"description": "Optional constraints for the plan (e.g., time limits, resource caps)",
"additionalProperties": true
}
},
"required": [
"goal"
]
}⚪agents_register(agent_id, capabilities)
[agents] Register an agent
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string",
"example": "my-agent-001"
},
"capabilities": {
"type": "array",
"items": {
"type": "string"
},
"example": [
"inference",
"planning",
"code-generation"
]
}
},
"required": [
"agent_id",
"capabilities"
]
}⚪agents_reputation(agent_id)
[agents] Agent reputation and trust score
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string",
"example": "my-agent-001"
}
},
"required": [
"agent_id"
]
}⚪agents_semantic_diff(output_a, output_b, context)
[agents] Semantic diff between agent outputs
Eingabe-Schema
{
"type": "object",
"properties": {
"output_a": {
"type": "string"
},
"output_b": {
"type": "string"
},
"context": {
"type": "string"
}
},
"required": [
"output_a",
"output_b"
]
}⚪agents_topology
[agents] Live swarm topology
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢compliance_check(data_type, jurisdiction, operation)
[security] GDPR/CCPA compliance gate
Eingabe-Schema
{
"type": "object",
"properties": {
"data_type": {
"type": "string",
"example": "user_pii"
},
"jurisdiction": {
"type": "string",
"example": "EU"
},
"operation": {
"type": "string",
"example": "store"
}
},
"required": [
"data_type",
"jurisdiction",
"operation"
]
}⚪compliance_eu_ai_act(system_id, risk_category, intended_purpose)
[security] EU AI Act compliance certificate
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
},
"risk_category": {
"type": "string",
"enum": [
"minimal",
"limited",
"high",
"unacceptable"
]
},
"intended_purpose": {
"type": "string"
}
},
"required": [
"system_id",
"risk_category",
"intended_purpose"
]
}🟢compliance_explain(model_id, decision_id, subject_context)
[security] Explainability certificate (XPL-100-ExplainBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"decision_id": {
"type": "string"
},
"subject_context": {
"type": "object"
}
},
"required": [
"model_id",
"decision_id",
"subject_context"
]
}⚪compliance_fairness(model_id, dataset_id, protected_attrs, metric)
[security] Fairness proof (FNS-100-FairnessBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"dataset_id": {
"type": "string"
},
"protected_attrs": {
"type": "array",
"items": {
"type": "string"
}
},
"metric": {
"type": "string",
"example": "demographic_parity"
}
},
"required": [
"model_id",
"dataset_id",
"protected_attrs",
"metric"
]
}⚪compliance_incident(system_id, severity, description, affected_users)
[security] Report compliance incident
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
},
"severity": {
"type": "string",
"enum": [
"low",
"medium",
"high",
"critical"
]
},
"description": {
"type": "string"
},
"affected_users": {
"type": "integer"
}
},
"required": [
"system_id",
"severity",
"description",
"affected_users"
]
}⚪compliance_incidents(system_id)
[security] Incident registry
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
}
},
"required": [
"system_id"
]
}⚪compliance_lineage(model_id, dataset_stages)
[security] Data lineage (LIN-100-ChainIntegrity)
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"dataset_stages": {
"type": "array",
"items": {
"type": "object"
}
}
},
"required": [
"model_id",
"dataset_stages"
]
}⚪compliance_oversight(system_id, reviewer_id, decision, notes)
[security] Log oversight event
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
},
"reviewer_id": {
"type": "string"
},
"decision": {
"type": "string"
},
"notes": {
"type": "string"
}
},
"required": [
"system_id",
"reviewer_id",
"decision",
"notes"
]
}⚪compliance_oversight_history(system_id)
[security] Oversight history
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
}
},
"required": [
"system_id"
]
}⚪compliance_transparency(system_id, period, include)
[security] Transparency report
Eingabe-Schema
{
"type": "object",
"properties": {
"system_id": {
"type": "string"
},
"period": {
"type": "string",
"example": "2026-Q1"
},
"include": {
"type": "array",
"items": {
"type": "string"
},
"example": [
"incidents",
"oversight",
"fairness"
]
}
},
"required": [
"system_id",
"period",
"include"
]
}⚪defi_bridge_verify(bridge_id, source_chain, dest_chain, amount, token)
[defi] Bridge Proof (BRP-100-BridgeIntegrity)
Eingabe-Schema
{
"type": "object",
"properties": {
"bridge_id": {
"type": "string"
},
"source_chain": {
"type": "string"
},
"dest_chain": {
"type": "string"
},
"amount": {
"type": "number"
},
"token": {
"type": "string"
}
},
"required": [
"bridge_id",
"source_chain",
"dest_chain",
"amount",
"token"
]
}⚪defi_contract_audit(contract_id, contract_type)
[defi] Contract Verify (CVR-100-AuditBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"contract_id": {
"type": "string"
},
"contract_type": {
"type": "string",
"example": "erc20"
}
},
"required": [
"contract_id",
"contract_type"
]
}🟢defi_liquidation_check(position_id, collateral_value, debt_value, collateral_factor)
[defi] Liquid Shield (LQS-100-LiquidationBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"position_id": {
"type": "string"
},
"collateral_value": {
"type": "number"
},
"debt_value": {
"type": "number"
},
"collateral_factor": {
"type": "number",
"format": "float"
}
},
"required": [
"position_id",
"collateral_value",
"debt_value",
"collateral_factor"
]
}⚪defi_optimize(protocol, position, risk_tolerance)
[defi] LP parameter optimization (DFP-100-OptimalTick)
Eingabe-Schema
{
"type": "object",
"properties": {
"protocol": {
"type": "string",
"example": "uniswap_v3"
},
"position": {
"type": "object",
"properties": {
"token_a": {
"type": "string",
"example": "ETH"
},
"token_b": {
"type": "string",
"example": "USDC"
},
"amount_usd": {
"type": "number",
"example": 10000
}
}
},
"risk_tolerance": {
"type": "number",
"format": "float",
"example": 0.5
}
},
"required": [
"protocol",
"position",
"risk_tolerance"
]
}⚪defi_oracle_verify(oracle_address, price_feed, reference_price, asset, tvl_at_risk)
[defi] Oracle guard (OGD-100-ManipulationBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"oracle_address": {
"type": "string"
},
"price_feed": {
"type": "string"
},
"reference_price": {
"type": "number"
},
"asset": {
"type": "string"
},
"tvl_at_risk": {
"type": "number"
}
},
"required": [
"oracle_address",
"price_feed",
"reference_price",
"asset",
"tvl_at_risk"
]
}⚪defi_risk_score(protocol, position, market_conditions)
[defi] DeFi risk scoring (DFI-101-RiskScoreBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"protocol": {
"type": "string"
},
"position": {
"type": "object"
},
"market_conditions": {
"type": "object"
}
},
"required": [
"protocol",
"position",
"market_conditions"
]
}⚪defi_yield_optimize(principal_usd, risk_tolerance)
[defi] Yield Oracle (YLD-100-YieldConvergence)
Eingabe-Schema
{
"type": "object",
"properties": {
"principal_usd": {
"type": "number",
"example": 10000
},
"risk_tolerance": {
"type": "number",
"format": "float",
"example": 0.5
}
},
"required": [
"principal_usd",
"risk_tolerance"
]
}⚪drift_certificate(id)
[trust] Drift certificate
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string"
}
},
"required": [
"id"
]
}🟢drift_check(model_id, reference_window, current_window)
[trust] DriftGuard check (DRG-100-DriftBound)
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"reference_window": {
"type": "object"
},
"current_window": {
"type": "object"
}
},
"required": [
"model_id",
"reference_window",
"current_window"
]
}🟡escrow_create(payer_id, payee_id, amount, currency, conditions)
[defi] Create agent-to-agent escrow
Eingabe-Schema
{
"type": "object",
"properties": {
"payer_id": {
"type": "string"
},
"payee_id": {
"type": "string"
},
"amount": {
"type": "number"
},
"currency": {
"type": "string"
},
"conditions": {
"type": "object"
}
},
"required": [
"payer_id",
"payee_id",
"amount",
"currency"
]
}⚪escrow_dispute(escrow_id, reason, evidence)
[defi] Open escrow dispute
Eingabe-Schema
{
"type": "object",
"properties": {
"escrow_id": {
"type": "string"
},
"reason": {
"type": "string"
},
"evidence": {
"type": "object"
}
},
"required": [
"escrow_id",
"reason"
]
}⚪escrow_release(escrow_id)
[defi] Release escrowed funds
Eingabe-Schema
{
"type": "object",
"properties": {
"escrow_id": {
"type": "string"
}
},
"required": [
"escrow_id"
]
}⚪forge_badge_{model}
[fuse] Model quality badge
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟡forge_delta_submit(model_id, delta, description)
[fuse] Submit a model delta
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"delta": {
"type": "object"
},
"description": {
"type": "string"
}
},
"required": [
"model_id",
"delta"
]
}⚪forge_leaderboard
[fuse] Model leaderboard
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪forge_quarantine
[fuse] Quarantined models
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪forge_verify(model_id, verification_type)
[fuse] Verify a model submission
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"type": "string"
},
"verification_type": {
"type": "string"
}
},
"required": [
"model_id"
]
}🟢identity_sybil_check
[identity] Sybil-resistance check
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪identity_verify(agent_id)
[identity] Topological identity verification
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string",
"example": "my-agent-001"
}
},
"required": [
"agent_id"
]
}⚪inference(messages)
[inference] Chat inference with hallucination guard
Eingabe-Schema
{
"type": "object",
"properties": {
"messages": {
"type": "array",
"items": {
"type": "object",
"required": [
"role",
"content"
],
"properties": {
"role": {
"type": "string",
"enum": [
"user",
"assistant",
"system"
],
"description": "Message role"
},
"content": {
"type": "string",
"description": "Message content"
}
}
},
"example": [
{
"role": "user",
"content": "What is formal verification?"
}
]
}
},
"required": [
"messages"
]
}⚪inference_stream(messages)
[inference] Streaming inference with chain-of-thought
Eingabe-Schema
{
"type": "object",
"properties": {
"messages": {
"type": "array",
"items": {
"type": "object",
"required": [
"role",
"content"
],
"properties": {
"role": {
"type": "string",
"enum": [
"user",
"assistant",
"system"
],
"description": "Message role"
},
"content": {
"type": "string",
"description": "Message content"
}
}
},
"example": [
{
"role": "user",
"content": "Explain formal verification step by step."
}
]
}
},
"required": [
"messages"
]
}⚪oracle_entropy
[trust] Entropy epoch oracle
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪oracle_hallucination(claim, context)
[trust] Hallucination oracle
Eingabe-Schema
{
"type": "object",
"properties": {
"claim": {
"type": "string",
"example": "Water boils at 100°C at sea level"
},
"context": {
"type": "string",
"example": "physics"
}
},
"required": [
"claim"
]
}⚪rag_augment
[inference] Trusted RAG augmentation
Eingabe-Schema
{
"type": "object"
}⚪ratchet_advance(session_id)
[identity] RatchetGate — advance session
Eingabe-Schema
{
"type": "object",
"properties": {
"session_id": {
"type": "string",
"example": "sess-001"
}
},
"required": [
"session_id"
]
}⚪ratchet_probe
[identity] RatchetGate — health probe
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪ratchet_register(session_id)
[identity] RatchetGate — register session
Eingabe-Schema
{
"type": "object",
"properties": {
"session_id": {
"type": "string",
"example": "sess-001"
}
},
"required": [
"session_id"
]
}⚪reputation_record(agent_id, interaction_type, outcome, counterparty_id)
[agents] Record agent interaction
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
},
"interaction_type": {
"type": "string"
},
"outcome": {
"type": "string",
"enum": [
"positive",
"negative",
"neutral"
]
},
"counterparty_id": {
"type": "string"
}
},
"required": [
"agent_id",
"interaction_type",
"outcome"
]
}⚪rng_quantum
[inference] Quantum random number with proof
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪rng_verify
[inference] Verify current epoch random value
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪security_zero_day(target, context)
[security] Zero-day threat assessment
Eingabe-Schema
{
"type": "object",
"properties": {
"target": {
"type": "string"
},
"context": {
"type": "object"
}
},
"required": [
"target"
]
}⚪sla_register(provider_id, consumer_id, terms)
[agents] Register an SLA
Eingabe-Schema
{
"type": "object",
"properties": {
"provider_id": {
"type": "string"
},
"consumer_id": {
"type": "string"
},
"terms": {
"type": "object"
}
},
"required": [
"provider_id",
"consumer_id",
"terms"
]
}⚪sla_report(sla_id, violation_type, description)
[agents] Report SLA violation
Eingabe-Schema
{
"type": "object",
"properties": {
"sla_id": {
"type": "string"
},
"violation_type": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"sla_id",
"violation_type"
]
}⚪swarm_inbox
[agents] Poll swarm inbox
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪swarm_relay(target_agent_id, message, ttl)
[agents] Relay message through swarm
Eingabe-Schema
{
"type": "object",
"properties": {
"target_agent_id": {
"type": "string"
},
"message": {
"type": "object"
},
"ttl": {
"type": "integer",
"description": "Hop limit for relay"
}
},
"required": [
"target_agent_id",
"message"
]
}⚪text_keywords(text, max_keywords)
[inference] Keyword extraction
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string"
},
"max_keywords": {
"type": "integer",
"example": 10
}
},
"required": [
"text"
]
}⚪text_sentiment(text)
[inference] Sentiment analysis
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"example": "This API is incredibly reliable and easy to use."
}
},
"required": [
"text"
]
}⚪text_summarize(text)
[inference] Text summarization
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"example": "Formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics."
}
},
"required": [
"text"
]
}⚪threat_score(agent_id, context)
[security] Multi-vector threat score
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string",
"example": "my-agent-001"
},
"context": {
"type": "string",
"example": "multi-agent-transaction"
}
},
"required": [
"agent_id"
]
}⚪trust_decay
[trust] Current trust ceiling value
Eingabe-Schema
{
"type": "object",
"properties": {}
}⚪trust_history(agent_id)
[trust] Trust score history
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
]
}⚪trust_score(agent_id)
[trust] Bounded trust score
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
]
}🟢audit_work_claim(inputs, claimed_digest)
[Ledger product, entitlement: ledger] Recompute-audit an agent work claim: re-derive a deterministic SHA-256 digest from the claimed inputs and check it against the claimed digest. Returns GREEN (matches), RED (tampered), or UNVERIFIED (no claim supplied). Replay, not opinion. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"inputs": {
"type": "object",
"description": "The work/claim payload to recompute a digest over."
},
"claimed_digest": {
"type": "string",
"description": "The agent's claimed SHA-256 digest to verify against. Omit for UNVERIFIED + the recomputed digest."
}
},
"required": [
"inputs"
]
}⚪verify_settlement(inputs, claimed_digest)
[Ledger product, entitlement: ledger] Proof-gated settlement: recompute the work digest and authorize a payout only if the claimed digest verifies GREEN. No proof, no payout. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"inputs": {
"type": "object",
"description": "The work payload backing the settlement."
},
"claimed_digest": {
"type": "string",
"description": "Claimed digest the payout is conditioned on."
}
},
"required": [
"inputs"
]
}🟢receipt_reputation(receipts)
[Ledger product, entitlement: ledger] Compute an agent's reputation from a ledger of verifiable receipts (verified minus refuted), deterministically - not from vibes or LLM judgment. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"receipts": {
"type": "array",
"description": "List of receipt objects, each with an 'ok' boolean and optional 'score'."
}
},
"required": [
"receipts"
]
}⚪detect_contradiction(claims)
[Ledger product, entitlement: ledger] Detect contradictions across structured claims: the same key asserted with conflicting values flips RED, otherwise GREEN. Deterministic and recomputable. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"claims": {
"type": "array",
"description": "List of claim objects, each with a 'key' (or 'subject') and a 'value'."
}
},
"required": [
"claims"
]
}⚪enforce_sla(inputs, claimed_digest, obligation)
[Ledger product, entitlement: ledger] Enforce an SLA/obligation by recomputation: the obligation is met only if the work verifies GREEN against its claimed digest. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"inputs": {
"type": "object",
"description": "The work payload to verify."
},
"claimed_digest": {
"type": "string",
"description": "Claimed digest the obligation is conditioned on."
},
"obligation": {
"type": "string",
"description": "Human-readable obligation label."
}
},
"required": [
"inputs"
]
}⚪route_capability(intent)
[Ledger product, entitlement: ledger] Route a natural-language intent to a deterministic capability/pipeline coordinate. 3 free calls/day, then entitlement 'ledger'.
Eingabe-Schema
{
"type": "object",
"properties": {
"intent": {
"type": "string",
"description": "The natural-language intent to route."
}
},
"required": [
"intent"
]
}⚪render_polyglot_roundtrip_pure(source_text, atom_name, language)
[Fuse product · entitlement: fuse · FREE_R2_DEMO] Syntax-as-Data polyglot render head: source -> language-neutral logic IR -> source in target language. Canonical demo examples baked to R2 (4 examples × 12 languages). Live emit of novel inputs via the SDK.
Eingabe-Schema
{
"type": "object",
"properties": {
"source_text": {
"type": "string",
"description": ""
},
"atom_name": {
"type": "string",
"description": ""
},
"language": {
"type": "string",
"description": ""
}
},
"required": [
"source_text",
"atom_name"
]
}⚪render_polyglot_all_pure(source_text, atom_name)
[Fuse product · entitlement: fuse · FREE_R2_DEMO] Polyglot emit to all 7 supported targets in one call. Returns {ok, ir, results, languages}. Canonical demo examples baked to R2; novel inputs via SDK.
Eingabe-Schema
{
"type": "object",
"properties": {
"source_text": {
"type": "string",
"description": ""
},
"atom_name": {
"type": "string",
"description": ""
}
},
"required": [
"source_text",
"atom_name"
]
}Community
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