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127,485 tools. Last updated 2026-05-05 19:34

"A guide for performing chart analysis on stocks" matching MCP tools:

  • Fetches an AI-synthesised Moon-sign horoscope for a chosen horizon and returns structured guidance fields plus metadata about the model and period. SECTION: WHAT THIS TOOL COVERS Calls the upstream horoscope service for a lunar sign (English or Sanskrit input accepted; response normalises moon_sign to lowercase English) and a period of daily, weekly, monthly, or yearly. It returns narrative and checklist-style content for life areas, remedy, and timing flavour text. It does not compute a personal natal chart, divisional charts, or dasha — only sign-level transit-flavoured copy tied to the requested horizon. SECTION: WORKFLOW BEFORE: None — this tool is standalone. AFTER: asterwise_get_natal_chart — if the user needs a personalised chart beyond sign-general copy. SECTION: INPUT CONTRACT period is constrained to the tool schema enum (daily, weekly, monthly, yearly). moon_sign accepts Sanskrit (Tula, Vrischika, Karka, Simha, Kanya, Dhanu, Makara, Kumbha, Meena, Mesha, Vrishabha, Mithuna) or English (Libra, Scorpio, Cancer, Leo, Virgo, Sagittarius, Capricorn, Aquarius, Pisces, Aries, Taurus, Gemini); resolution is upstream. response_format selects JSON vs markdown rendering only. SECTION: OUTPUT CONTRACT data.content: do[] (string array) body (string) love (string) avoid[] (string array) money (string) career (string) remedy (string) headline (string) narrative (string) open_loop (string) data.model_used (string — AI model version label) data.generated_at (string — ISO UTC) data.period_key (string — YYYY-MM-DD for daily; identifier for other horizons) data.horizon (string — 'daily', 'weekly', 'monthly', or 'yearly') data.moon_sign (string — lowercase English, e.g. 'libra') SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): — Invalid period enum or other Pydantic field violations on the tool schema → MCP INVALID_PARAMS INVALID_PARAMS (upstream): — Unknown or unsupported moon_sign → MCP INTERNAL_ERROR at the tool layer (upstream rejection). INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Sign-level content only; not a substitute for birth-chart analysis. SECTION: DO NOT CONFUSE WITH asterwise_get_natal_chart — full personalised sidereal chart from birth data, not Moon-sign editorial copy. asterwise_get_gochar — nine-planet transit snapshot vs natal chart for today, not AI horoscope prose.
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  • Score all gallery templates and recommend the best fit. Call this AFTER profiling the data source and deciding on chart types, but BEFORE creating the dashboard layout. The decider evaluates every template in the gallery against the data profile and chart mix, returning a ranked list with reasoning. Args: chart_types: Comma-separated list of chart mark_types being built. Example: "Bar,Line,Text,Text,Map" If omitted, uses only the data profile signals. kpi_count: Override KPI count (else derived from chart_types). Returns: Ranked template recommendations with scores and reasoning.
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  • Use when you need the full natal chart for interpretation, comparison, or downstream transit/progression work. Returns planets, houses, aspects, patterns, dignities, and Big Three. `detail="compact"` drops the per-aspect details (keeps `aspects.summary` counts) and per-pattern planet lists — saves ~15k tokens on a typical chart, useful when you only need placements + angles. Next step: if you need aspect-by-aspect narrative material, call with `detail="full"`; for transits to this chart, call `current_transits` or `transit_search` with the same birth data.
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  • Retrieve the full SEC IAPD profile for one individual investment advisor representative using their CRD number. Returns complete registration history, exam qualifications, employment history, and any disclosures. Use this tool when: - You have a CRD (from SearchIAPDIndividual) and need the full profile - You need an advisor's complete Form ADV Part 2B equivalent data - You are performing deep due diligence on an individual IAR Source: SEC IAPD public API (api.adviserinfo.sec.gov). No API key required.
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  • Purchase the Build the House trading system guide via x402 on Base. Returns step-by-step x402 payment instructions. After completing the EIP-3009 payment ($29 USDC on Base), the API returns a download_url valid for 30 days. No API key required to purchase.
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Matching MCP Servers

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    Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
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    MIT
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    An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.
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    MIT

Matching MCP Connectors

  • ship-on-friday MCP — wraps StupidAPIs (requires X-API-Key)

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  • Start an async GEM (10-factor competency) analysis on a candidate. Returns a task_id and analysis_id. Poll with careerproof_task_status(task_id) until status='completed', then fetch results with atlas_get_analysis(analysis_id) or careerproof_task_result(task_id, result_type='analysis', resource_id=analysis_id). Candidate CV must be fully parsed first -- verify with atlas_get_candidate. Types: gem_full (10 cr), gem_lite (5 cr), career_path (5 cr).
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  • Retrieve a completed analysis result by analysis ID. Returns scores, competency breakdown, and recommendations. analysis_id comes from atlas_start_gem_analysis response or atlas_list_analyses. Only works after analysis is completed -- check with careerproof_task_status first. Free.
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  • Run audio analysis on a public audio URL. Requires estimate_cost to be called first (job_estimate_id). Requires PULSE_API_KEY. Before calling, you MUST confirm with the user that they have a lawful basis to submit this audio for analysis. For a user-requested folder, project, playlist, or batch, one confirmation can cover every track in that scope. Returns job_id — poll get_job_status for results.
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  • Search recipes by keyword across titles, descriptions, tags, and full source code. Use for any iOS, SwiftUI, or backend topic — e.g. subscription, authentication, camera, animation, chart, onboarding, paywall, infrastructure.
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  • Get the builder workflows — step-by-step state machines for building skills and solutions. Use this to guide users through the entire build process conversationally. Returns phases, what to ask, what to build, exit criteria, and tips for each stage.
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  • Get the award pricing chart for a specific airline route. Shows points required per cabin class (off-peak/peak). No date needed. Paid feature.
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  • Retrieve the full FINRA BrokerCheck profile for one individual using their CRD number. Returns complete employment history, exam qualifications, licenses held, and all disclosure details. Use this tool when: - You have a CRD (from SearchBrokerCheck) and want full profile detail - You need employment history, prior firms, or qualification data for a rep - You are performing due diligence on an individual advisor Source: FINRA BrokerCheck public API. No API key required.
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  • Get full API connection guide for a Japanese SaaS service. Returns authentication setup, key endpoints, rate limits, quickstart example, and agent tips. Use after search_services to learn HOW to connect.
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  • Returns classical puja (ritual worship) recommendations for planetary propitiation sourced from Agni Purana, Matsya Purana, Skanda Purana, and BPHS Chapter 84. SECTION: WHAT THIS TOOL COVERS For each of the nine grahas, returns: puja name, presiding deity, day of week, specific offerings (flowers, grains, incense), grain associated, beej mantra, and classical source text. Used by practitioners to recommend planetary remedies based on chart analysis. SECTION: WORKFLOW BEFORE: asterwise_get_natal_chart — identify afflicted planets before recommending pujas. AFTER: asterwise_get_rudraksha — complementary bead-based remedy. SECTION: INPUT CONTRACT planet (optional): One of Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn, Rahu, Ketu. Omit to get all nine planets. SECTION: OUTPUT CONTRACT Single planet: data.planet, data.puja_name, data.deity, data.day, data.offerings[], data.grain, data.mantra, data.source All planets: data.planets{} — object keyed by planet name SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unknown planet name → MCP INTERNAL_ERROR INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_remedies — personalised remedies from natal chart analysis. asterwise_get_rudraksha — bead recommendations, not puja rituals.
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  • Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.
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  • Quick risk level check for a Solana token. Returns LOW/MEDIUM/HIGH/CRITICAL. Free preview - use scan_token for full analysis.
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  • Get workflow guidance for using InsideOut infrastructure tools. Call help() for a compact overview, or help(section=...) for a detailed guide. Sections: workflow, tools, examples, inspect. Responses include hints with next_actions and related_tools.
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  • Get a comprehensive overview of current market conditions across crypto and stocks. Shows top 5-10 instruments ranked by Martingale Score (0-5), with their Startingale readings.
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