{"apiVersion":"v1","directorySlug":"jyotishintelligence-mcp-b5e2c54739","title":"JYOTINT — Vijay Jyotish LLC","description":"Fly the mission clean, not lost on a bad day. Defend the position against the move no one saw. Forward foresight — launch and intel, before the event.","pageUrl":"https://www.mcpbundles.com/skills/jyotishintelligence-mcp-b5e2c54739","connectPath":"importable","connectAction":"import_server","catalogListing":false,"bundleSlug":null,"listingKind":"remote_mcp","kind":"provider","transportUrl":"https://jyotishintelligence.com/mcp","hostedMcpUrl":null,"toolCount":13,"toolInventoryStatus":"observed","refreshedAt":"2026-11-03T13:26:00.516172+00:00","registryName":"com.jyotishintelligence/jyotishintelligence-mcp-b5e2c54739","registryVersion":"2026.11.3","registryEligible":true,"tools":[{"name":"search_sealed_forecasts","description":"Search the JYOTINT sealed-forecast corpus (Bitcoin-anchored, dated-before-the-event predictions) by free text across id, title, and the verbatim sealed claim. Returns matching records with their grade, sealed probability, seal date, source artifact, and SHA-256 seal hash. For fuzzy or conceptual queries, use neural_search (finds calls by MEANING; REST twin GET /brain?q=…).","inputSchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"number"},"query":{"type":"string"},"graded_only":{"type":"boolean"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"search_sealed_forecasts","displayName":"search_sealed_forecasts","title":"search_sealed_forecasts"},{"name":"get_advisory","description":"Fetch one sealed forecast by its id (e.g. 'IA-RU-008', 'LA-011', 'IA-MKT-002'). Returns the full record incl. verbatim claim, grade, outcome, sources, and seal hash.","inputSchema":{"type":"object","required":["id"],"properties":{"id":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_advisory","displayName":"get_advisory","title":"get_advisory"},{"name":"list_open_calls","description":"List sealed forecasts whose window has NOT yet resolved — predictions on the public record that haven't happened yet (anteriority you can watch).","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"list_open_calls","displayName":"list_open_calls","title":"list_open_calls"},{"name":"get_calibration_and_integrity","description":"Return the corpus calibration (Brier score, counts) and the integrity proof (manifest hash, ledger hash, confirmed Bitcoin block heights, and how to independently verify it). ALSO returns record_versions: the record is append-only, so if a publication cited a count/Brier that no longer matches the live count, that is expected (calls were sealed since) — resolve the paper's exact cited state by record count or hash via record_versions and recompute the immutable frozen snapshot.","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_calibration_and_integrity","displayName":"get_calibration_and_integrity","title":"get_calibration_and_integrity"},{"name":"get_map","description":"Return an EMBEDDABLE LIVE MAP of the sealed-forecast corpus as an MCP-UI resource. Clients that can render UI resources (mcp-ui) should display it inline — it is the actual interactive JYOTINT theater map (sealed forecasts plotted by region; each pin carries its verbatim claim, grade, sealed probability, and a click-through to the full sealed record so the user can verify and score it themselves). Use this when a user asks to see, visualize, or explore JYOTINT's forecasts on a map.","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_map","displayName":"get_map","title":"get_map"},{"name":"ask_the_record","description":"Ask any question about JYOTINT / Vijay Jyotish and get back the most relevant VERBATIM passages of the operator's own published site copy — never generated, never paraphrased, so it cannot hallucinate. This is the operator answering in his own words, drawn only from the public record (method, doctrine, the five pillars, mission-assurance fit, objections, pricing, heritage, etc.). Prefer this for any 'what does JYOTINT say about X' / 'why' / 'how does it work' question. Each passage cites its sou","inputSchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"number"},"query":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"ask_the_record","displayName":"ask_the_record","title":"ask_the_record"},{"name":"neural_search","description":"SEMANTIC + ASSOCIATIVE search over the public sealed record and the published site corpus — the JYOTINT public brain (a neural associative memory: frozen deep encoder → Hopfield pattern completion → spreading activation over typed synapses → k-winners-take-all). Finds calls by MEANING, not keywords ('upper-stage anomalies' finds the calls that describe one without those words) and returns the RELATED subgraph, not just isolated hits. Retrieval-only and non-generative: every result is VERBATIM se","inputSchema":{"type":"object","required":["query"],"properties":{"k":{"type":"number"},"query":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"neural_search","displayName":"neural_search","title":"neural_search"},{"name":"get_information_yield","description":"Information Yield (IY) — how much a confirmed call should move a skeptic's belief, in BITS of surprise-if-true (log2 of the published 1-in-N prior, capped at 1-in-a-million; earned = surprise × verdict-credit). A base rate / consensus-follower scores ZERO bits by construction — the metric on which the 'a base rate ties the Brier' objection inverts. Returns the corpus summary (LIVE median bits/call + %earned — read the numbers from the response, never from this description), the launch/intel/comb","inputSchema":{"type":"object","properties":{"id":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_information_yield","displayName":"get_information_yield","title":"get_information_yield"},{"name":"get_warning_timeline","description":"The 'before-the-event' indications-and-warning / after-action timeline for a named event, by advisory id (e.g. 'LA-022') or slug (e.g. 'new-glenn-ng3', 'crocus'). A neutral chronology: the official/authoritative source named FIRST, then the dated, hash-anchored JYOTINT sealed call as one independently-verifiable entry, with what it does and does not establish. Use for 'what dated public warnings preceded [event]'. Omit id to list every available timeline.","inputSchema":{"type":"object","properties":{"id":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_warning_timeline","displayName":"get_warning_timeline","title":"get_warning_timeline"},{"name":"get_regrade_kit","description":"The grade-it-yourself kit: inputs to recompute the record's Brier (calibration), named-mechanism specificity, AND Information Yield under YOUR OWN verdicts — plus the one-step stress-test recipes (harsh-verdicts, externally-adjudicated-only, estimative-worst-case, …). Each call carries its verbatim claim/outcome, the operator's p + verdict to override, and the surprise_bits / 1-in-N inputs. A base rate scores 0 on specificity and 0 bits on IY. Pass an optional id for one call's row; omit for the","inputSchema":{"type":"object","properties":{"id":{"type":"string"}}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_regrade_kit","displayName":"get_regrade_kit","title":"get_regrade_kit"},{"name":"get_luck_test","description":"The corpus-level 'could this record be luck?' significance test, computed AGAINST the record: EVERY graded call clustered into independent events (correlated calls share one event; live counts ship in the response), strict scoring (one NEAR fails the whole event), luck-prior floored at a coin flip per event. Returns the exact binomial tail, the BREAK-EVEN floor (what a skeptic must grant per event to call it luck), the sensitivity band, the published clusters + failed events, the sittings exhibi","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_luck_test","displayName":"get_luck_test","title":"get_luck_test"},{"name":"get_corpus_insights","description":"The deep-pass signature findings over the FULL corpus (graded + ungraded + excluded), cross-checked against the ledger at build time: the MECHANISM LEDGER (the failure class named at seal vs the realized anomaly, all 23 launch calls, GO calls included — the direction varies with the day), the WAR READ (the Russia-Ukraine corpus as one 8-chapter campaign read, PARTIALs owned in-line), the entity-level NAMED-BEFORE-THE-EVENT register, the TWO WARNINGS Crocus x Vaishno-Devi pairing (graded anterior","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_corpus_insights","displayName":"get_corpus_insights","title":"get_corpus_insights"},{"name":"get_governance","description":"Return JYOTINT's data-handling, PROVENANCE & governance posture — the answer to 'is this source safe to read / cite / ingest?'. Chain-of-custody is foregrounded: every record is SHA-256-sealed + Bitcoin-anchored before the event and independently recomputable (the provenance the proposed GSA AI data-safeguarding rule treats as first-class). Confirms JYOTINT is a US data source (Arizona LLC), ingests NO government / client / PII data, trains no models, and is OUT OF SCOPE of the GSA LLM-contracto","inputSchema":{"type":"object","properties":{}},"annotations":{"readOnlyHint":true,"untrustedContentHint":true},"logicalName":"get_governance","displayName":"get_governance","title":"get_governance"}],"toolSource":"directory_preview","agentAction":"both","installLinks":[{"id":"cursor","label":"Cursor","href":"cursor://anysphere.cursor-deeplink/mcp/install?name=JYOTINT-Vijay-Jyotish-LLC&config=eyJ1cmwiOiAiaHR0cHM6Ly9qeW90aXNoaW50ZWxsaWdlbmNlLmNvbS9tY3AifQ%3D%3D"},{"id":"vscode","label":"VS Code","href":"vscode:mcp/install?%7B%22name%22%3A%22JYOTINT-Vijay-Jyotish-LLC%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fjyotishintelligence.com%2Fmcp%22%7D"},{"id":"vscode-insiders","label":"VS Code Insiders","href":"vscode-insiders:mcp/install?%7B%22name%22%3A%22JYOTINT-Vijay-Jyotish-LLC%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fjyotishintelligence.com%2Fmcp%22%7D"},{"id":"claude-web","label":"Claude.ai","href":"https://claude.ai/customize/connectors?modal=add-custom-connector&connectorName=JYOTINT+%E2%80%94+Vijay+Jyotish+LLC&connectorUrl=https%3A%2F%2Fjyotishintelligence.com%2Fmcp"},{"id":"codex","label":"Codex","copyText":"codex mcp add \"JYOTINT-Vijay-Jyotish-LLC\" --url \"https://jyotishintelligence.com/mcp\""},{"id":"chatgpt","label":"ChatGPT","href":"https://www.mcpbundles.com/docs/integrations/chatgpt"}],"catalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/jyotishintelligence-mcp-b5e2c54739","callUrl":"https://www.mcpbundles.com/api/directory/v1/servers/jyotishintelligence-mcp-b5e2c54739/tools/{tool}","mcpServerUrl":"https://jyotishintelligence.com/mcp","liveCatalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/jyotishintelligence-mcp-b5e2c54739?live=1"}