Combien d'outils expose io.github.classofdoom/tresslers-intelligence ?

io.github.classofdoom/tresslers-intelligence expose 12 outil(s). Le coût de contexte pour les charger tous est d'environ 3478 tokens (coût unique au chargement, pas par appel).

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io.github.classofdoom/tresslers-intelligence

serveur MCP (Model Context Protocol) · tresslers-intelligence 2.1.0

▸ IA & Mémoire

[ Non encore testé ]

Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

streamable-httpType / transport

directAccès

~3478 tokensCoût de contexte

12Outils

Est-ce que io.github.classofdoom/tresslers-intelligence est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.classofdoom/tresslers-intelligence » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 12 outils

ask_intelligence_rag≈ 284 tokens
Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG (Retrieval Augmented Generation). Returns relevant document chunks, source citations, conviction metadata, and graph neighborhood data. The calling LLM should synthesize the returned context into a coherent answer.
Paramètres, retour & exemple (2)
Paramètres
- question · string · requis
  Natural language question (e.g., 'What are the key geopolitical risks in sovereign AI policy?').
- max_sources · number · optionnel
  Maximum number of source dossier chunks to retrieve (default 5, max 8).
Exemple d'appel
```
{"name": "ask_intelligence_rag", "arguments": {"question": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
batch_optimize_codon≈ 484 tokens
Batch codon optimization for teams and agents: optimize up to 50 protein or cDNA coding sequences in one call with the Logos bio-engine (CAI maximization, GC harmonization, restriction-site avoidance, consensus leaders). Free tier: 100 sequences per caller per day. Overage is $0.50 USDC per 10 sequences ($0.05/sequence) on Base, verified on-chain — pass payment_proof when the batch exceeds the free tier. Research Use Only (RUO); select-agent sequences prohibited.
Paramètres, retour & exemple (5)
Paramètres
- host · string · optionnel · e_coli | h_sapiens | c_griseus | s_cerevisiae | p_pastoris | v_natriegens | n_benthamiana | a_thaliana
  Target expression organism: 'e_coli', 'h_sapiens' (HEK293), 'c_griseus' (CHO), 's_cerevisiae', 'p_pastoris', 'v_natriegens', 'n_benthamiana', 'a_thaliana'. Default: 'e_coli'
- api_key · string · optionnel
  Optional stable caller identifier for quota tracking (useful behind shared IPs). Self-asserted in v1.
- gc_target · number · optionnel
  Target global GC percentage (e.g., 52 for E. coli, 58 for Human). Optional.
- sequences · array · requis
  Amino acid sequences (single-letter uppercase) or DNA coding sequences to optimize. Max 50 per call; max 5000 characters each.
- payment_proof · string · optionnel
  USDC transaction hash on Base. Required when the batch exceeds the 100/day free tier.
Exemple d'appel
```
{"name": "batch_optimize_codon", "arguments": {"sequences": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
get_alpha_gap≈ 380 tokens
Retrieves prediction market Alpha Gaps comparing Tresslers Group Bayesian model odds against Polymarket order books, along with Brier scores, calibration alpha (+3,480 bps benchmark), and cryptographic SHA-256 pre-commitments.
Paramètres, retour & exemple (5)
Paramètres
- limit · number · optionnel
  Maximum number of Alpha Gap records to return.
- status · string · optionnel · ALL | RESOLVED | PENDING | CONTRACT_SETTLED | OUTCOME_TRACKED
  Filter by status or settlement type (e.g., 'CONTRACT_SETTLED', 'OUTCOME_TRACKED', 'RESOLVED', 'PENDING', 'ALL').
- category · string · optionnel
  Optional filter by strategic intelligence domain.
- min_divergence · number · optionnel
  Minimum absolute divergence gap in percentage points (e.g. 20 for >= 20% gap).
- settlement_type · string · optionnel · all | contract_settled | outcome_tracked | unscored_archive
  Filter by settlement tier: 'contract_settled', 'outcome_tracked', 'unscored_archive', or 'all'.
Exemple d'appel
```
{"name": "get_alpha_gap", "arguments": {"limit": 1, "status": "ALL", "category": "texte", "min_divergence": 1, "settlement_type": "all"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
get_dossier_delta≈ 173 tokens
Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.
Paramètres, retour & exemple (1)
Paramètres
- since_timestamp · string · requis
  ISO UTC timestamp (e.g., '2026-05-01T00:00:00Z').
Exemple d'appel
```
{"name": "get_dossier_delta", "arguments": {"since_timestamp": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
get_model_record≈ 362 tokens
Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' for live prediction markets, 'outcome_tracked' for internal foresight models, 'unscored_archive' for pre-commitment history, or 'all'). Returns Brier calibration scores, transparent failure analysis, and verifiable primary source URLs.
Paramètres, retour & exemple (3)
Paramètres
- status · string · optionnel · ALL | RESOLVED | PENDING
  Filter by resolution status (default: 'ALL').
- category · string · optionnel
  Optional filter by intelligence pillar/category.
- settlement_type · string · optionnel · all | contract_settled | outcome_tracked | unscored_archive
  Filter by settlement tier: 'contract_settled' (live prediction market order-books), 'outcome_tracked' (internal Bayesian foresight), 'unscored_archive' (pre-commitment era), or 'all' (default).
Exemple d'appel
```
{"name": "get_model_record", "arguments": {"status": "ALL", "category": "texte", "settlement_type": "all"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
list_dossiers≈ 128 tokens
Returns a list of all available intelligence dossier slugs.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "list_dossiers", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
optimize_codon≈ 410 tokens
Optimizes a protein (amino acid) or cDNA coding sequence for maximal recombinant expression yield in a target host organism using the Logos biocomputing engine. Executes Codon Adaptation Index (CAI) maximization, GC-content harmonization, restriction site avoidance, and ribosomal consensus leader generation. Research Use Only (RUO). In-silico modeling only; select-agent and regulated pathogen sequence optimization is strictly prohibited under 42 CFR 73 and BWC compliance. Free and open to all AI agents.
Paramètres, retour & exemple (3)
Paramètres
- host · string · optionnel · e_coli | h_sapiens | c_griseus | s_cerevisiae | p_pastoris | v_natriegens | n_benthamiana | a_thaliana
  Target expression organism: 'e_coli', 'h_sapiens' (HEK293), 'c_griseus' (CHO), 's_cerevisiae', 'p_pastoris', 'v_natriegens', 'n_benthamiana', 'a_thaliana'. Default: 'e_coli'
- sequence · string · requis
  Amino acid sequence (single-letter uppercase e.g. 'MSKGEELFT...') or DNA coding sequence to optimize.
- gc_target · number · optionnel
  Target global GC percentage (e.g., 52 for E. coli, 58 for Human). Optional.
Exemple d'appel
```
{"name": "optimize_codon", "arguments": {"sequence": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
query_knowledge_graph≈ 261 tokens
Traverses the multi-hop conceptual knowledge graph across entities (GraphRAG). Free preview available for direct 1-hop adjacencies. Deeper reasoning (2-3 hops) requires x402 settlement.
Paramètres, retour & exemple (3)
Paramètres
- depth · number · optionnel
  Graph traversal hop depth (1 for free preview, 2 to 3 for deep reasoning).
- entity_id · string · requis
  Target conceptual entity or dossier slug (e.g., 'Quantum AI', 'ThinkForge').
- payment_proof · string · optionnel
  Standard x402 signed USDC transaction proof (0x...). Required for multi-hop graph access.
Exemple d'appel
```
{"name": "query_knowledge_graph", "arguments": {"entity_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
read_dossier≈ 243 tokens
Reads the pure text contents of a specific intelligence dossier. Requires x402 payment proof for premium intelligence. Without payment proof, returns a high-fidelity strategic excerpt and payment challenge.
Paramètres, retour & exemple (2)
Paramètres
- slug · string · requis
  The slug of the dossier to read (e.g., 'sovereign-ai-state-national-policy-2026').
- payment_proof · string · optionnel
  Standard x402 signed USDC transaction proof (0x...). Required for full decrypted access.
Exemple d'appel
```
{"name": "read_dossier", "arguments": {"slug": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": [], "isError": true}}
```
search_dossiers≈ 308 tokens
Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.
Paramètres, retour & exemple (5)
Paramètres
- tag · string · optionnel
  Optional tag filter (e.g., 'sovereign-ai', 'energy-transition').
- limit · number · optionnel
  Maximum number of dossiers to return (default: 5, max: 20).
- query · string · requis
  Search query or keywords to match across title, excerpt, content, and tags.
- category · string · optionnel
  Optional category filter (e.g., 'Geopolitics & Sovereign Policy', 'Energy & Infrastructure').
- min_conviction · number · optionnel
  Minimum conviction threshold (0.0 to 1.0, e.g., 0.85).
Exemple d'appel
```
{"name": "search_dossiers", "arguments": {"query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
search_intelligence_matrix≈ 261 tokens
Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.
Paramètres, retour & exemple (3)
Paramètres
- limit · number · optionnel
  Max results to return (default 5, max 10).
- query · string · requis
  Semantic research question (e.g., 'What are the geopolitical vulnerabilities in green hydrogen supply chains?').
- filter · string · optionnel
  Optional SQL-like metadata filter (e.g., 'convictionScore >= 0.85').
Exemple d'appel
```
{"name": "search_intelligence_matrix", "arguments": {"query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```
verify_commitment≈ 347 tokens
Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters.
Paramètres, retour & exemple (7)
Paramètres
- hash · string · optionnel
  64-character lowercase hexadecimal SHA-256 commitment digest.
- preimage · string · optionnel
  Full pipe-delimited UTF-8 canonical preimage string (YYYY-MM-DD|question|model_odds|target_dossier_slug).
- model_odds · number · optionnel
  Model odds integer component (0-100).
- dossier_slug · string · optionnel
  Target dossier slug component.
- dispatch_date · string · optionnel
  Dispatch date component (YYYY-MM-DD).
- market_question · string · optionnel
  Exact market question component.
- canonical_preimage · string · optionnel
  Alternative key for canonical preimage string.
Exemple d'appel
```
{"name": "verify_commitment", "arguments": {"hash": "texte", "preimage": "texte", "model_odds": 1, "dossier_slug": "texte", "dispatch_date": "texte", "market_question": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"content": []}}
```

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Source

https://tresslersgroup.com/api/mcp