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186,454 tools. Last updated 2026-06-09 23:27

"Pocket Casts" matching MCP tools:

  • Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Covers ENS governance and DAO proposals, protocol details (ENSv2, resolvers, subnames), community sentiment, historical decisions, and what specific people have said about a topic. Powered by semantic search over curated ENS sources. Do NOT use this for name valuations, market data, or availability checks — use the other tools for those.
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  • Read the latest Fix Packet that Axint emitted locally after a compile or watch run. Returns the exact repair artifact that AI tools or Xcode helpers should consume next: verdict, top findings, full diagnostics, next steps, and an AI-ready fix prompt.... Use: use after a local compile/watch/check emitted a packet; not a new analysis pass. Effects: read-only local artifact read; writes no files and uses no network.
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  • Pro token safety analysis. Runs the full standard verdict (deployer age, LP lock, holder concentration) and adds two additional signals: (1) Farcaster social activity — casts mentioning the token address in the last 24h, including mention count, unique caster count, and keyword-based sentiment (positive/neutral/negative); (2) Holder growth velocity — estimated holder count now vs ~24h ago, growth rate percentage, and trend (accelerating/stable/declining). Holder growth velocity is Base chain only — returns trend: unknown for Solana, Ethereum, and Arbitrum. Farcaster signals work for all chains. Solana tokens receive full Pump.fun bonding curve and Raydium LP analysis in the base verdict block. Returns a proVerdict that may upgrade SAFE to CAUTION when holder growth is anomalous (>50% or <-30%) or Farcaster sentiment is negative. CAUTION and AVOID are never downgraded. Priced at $0.50 USDC via x402.
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  • Casts a Prashna chart for the query instant using supplied date, time, place, and a single-topic keyword, then returns houses, Moon diagnostics, verdict, and cusps. SECTION: WHAT THIS TOOL COVERS Horary workflow: maps one of the approved keywords to a primary house, evaluates Moon (phase, VOC, affliction), applies ithsala flags, aggregates graha dignities/houses from Prashna Lagna, and emits verdict/confidence/score. Not natal life analysis (asterwise_get_natal_chart) and not KP cusps from birth (asterwise_get_kp_chart). SECTION: WORKFLOW BEFORE: None — standalone for horary. AFTER: None. SECTION: INPUT CONTRACT question must be exactly one of: self, wealth, siblings, property, children, health, marriage, death, travel, career, gains, loss. Full sentences are not validated locally and are rejected upstream → MCP INTERNAL_ERROR at the tool layer. PrashnaInput enforces date/time/lat/lon/ayanamsa patterns locally. SECTION: OUTPUT CONTRACT data.ayanamsa (string) data.question (string — keyword echoed) data.primary_house (int) data.ithsala_applying (bool) data.ithsala_separating (bool) data.query_utc (string — ISO UTC) data.lagna: rashi_index (int) rashi (string) longitude (float) lord (string) data.house_analysis: house (int) rashi_index (int) rashi (string) lord (string) lord_dignity (string) lord_house (int) lord_longitude (float) occupants[] (string array) data.moon: longitude (float) rashi_index (int) rashi (string) nakshatra (string) phase (string — 'waxing' or 'waning') dignity (string) void_of_course (bool) afflicted_moon (bool) applying_to_benefic (bool) data.verdict: verdict (string — 'favorable', 'mixed', or 'unfavorable') confidence (string — 'high', 'medium', or 'low') score (int — negative unfavorable, positive favorable) data.planets{} — per planet: longitude (float), rashi_index (int), rashi (string), house (int), is_retrograde (bool), dignity (string) data.house_cusps{} — keys '1'..'12': rashi_index (int), rashi (string), lord (string), longitude (float) 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 MEDIUM_COMPUTE SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): — PrashnaInput Pydantic violations (date, time, lat, lon, ayanamsa) → MCP INVALID_PARAMS INVALID_PARAMS (upstream): — None — bad question tokens surface as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Moon void-of-course flagged classically negative for outcomes. SECTION: DO NOT CONFUSE WITH asterwise_get_natal_chart — requires birth data, not query-moment prashna. asterwise_get_kp_chart — natal KP from birth time, not horary keyword mapping.
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  • Track how much money has been recovered through auto-chase reminders. Returns total $ recovered and count of invoices that were overdue, got chased, and then got paid. This is the "proof the platform pays for itself" metric — show users exactly how much money Admin Substitute put back in their pocket.
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  • Get current Australian PBS patient copayment thresholds. Returns the current out-of-pocket maximum a patient pays per prescription, safety net thresholds, and concessional rates for healthcare card holders. Returns: JSON with general copayment, concessional copayment, and safety net limits. Example: get_pbs_copayments()
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Matching MCP Servers

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  • Generate on-brand proposals, reports, and contracts instantly. Auto-extracts brand from any URL.

  • Hosted MCP server for digital signage. 30+ tools for managing TV fleets, presentations, schedules, and emergency alerts. Includes governance layer (preview, confirm, rollback) and native Amazon Signage Stick support.

  • Return RealOpen's current pricing and fee breakdown with worked examples. Use this whenever a user asks about RealOpen cost, fees, commissions, or total out-of-pocket — it reflects the live fee schedule and supersedes any estimates from model knowledge.
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