MCP servers

Deliversdependency-free slash unavailable:

Official·1 source

genpark-speech-filler-word-remover-cleaner-skill

Enables transcript timestamp-aligned speech filler word removal and cutlist generation for automated video editing, with zero-dependency MCP integration.

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Enables MCP-compatible clients to detect and remove speech filler words using timestamp-aligned transcripts, and generate precise cut lists for video editing workflows.

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Enables running second-price Vickrey auctions that match consumer query intent with brand bids while preserving organic recommendation neutrality. It integrates as a zero-dependency MCP server for agentic commerce and privacy-preserving ad monetization workflows.

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Enables agents to deterministically extract structured entities from input payloads and validate or coerce them against JSON schemas, returning a standardized response dossier with execution telemetry. It runs as a zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP clients.

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Enables AI agents and developers to run deterministic, multi-perspective synthetic consumer focus groups and analyze market sentiment through JSON-RPC/MCP tools.

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Enables semantic search of shell session history, matching user intents to relevant CLI commands for keyboard-first developer workflows.

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Enables agents to forecast numerical trends with zero-dependency Holt linear exponential smoothing, multi-step horizons, variance confidence bands, and supporting statistical anomaly detection, regression, hypothesis testing, and PCA.

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genpark-time-series-exponential-smoothing-forecaster-skill

Enables statistical forecasting and anomaly detection over numerical time-series data using Holt linear smoothing, multi-step projections, and variance-based confidence bands.

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Enables MCP clients to run zero-dependency graph algorithms—including topological sorting, strongly connected component detection, shortest paths, maximum flow, minimum spanning trees, and PageRank—for agent dependency resolution and execution planning.

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Enables autonomous matching of UGC creators to brand briefs via a deterministic programmatic auction and video matchmaking workflow. It integrates as an MCP server so AI agents can run creator brief auctions and produce structured results with execution telemetry.

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Enables autonomous web browsing and extraction by canonicalizing URLs, detecting anti-crawler traps such as circular paths and infinite pagination, pruning DOM content, mapping forms, converting tables to JSON, and evaluating agent trajectories.

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Enables quantitative portfolio tail-risk analysis, option Greeks, Monte Carlo stochastic simulations, fixed-income duration/convexity, and Nelson-Siegel yield-curve interpolation through MCP tools.

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genpark-value-at-risk-cvar-expected-shortfall-skill

Enables quantitative risk analysis by calculating portfolio Value-at-Risk and Conditional VaR/Expected Shortfall across parametric and historical loss distributions, along with related option Greeks, Monte Carlo simulations, and fixed-income analytics through MCP.

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Enables agents to track causal relationships, reconcile concurrent state changes, and coordinate consensus across distributed networks using vector clocks, CRDTs, gossip, and quorum-based protocols.

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genpark-video-silence-jumpcut-cadence-analyzer-skill

Enables audio silence detection and jumpcut cadence/pacing analysis for shortform video editing, producing precise cut-lists and telemetry through the Model Context Protocol.

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Enables users to translate geometric bounding boxes, flowchart node connections, and architectural sketches into clean Mermaid graphs, JSON topology matrices, and boilerplate code scaffolds through MCP.

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Enables agents to ground and compare visual specifications by calculating physical dimensions and degrees of freedom from multimodal inputs.

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genpark-voice-turn-taking-endpoint-detector-skill

Enables real-time voice agents and streaming audio pipelines to detect conversational turn completion, distinguishing finished speech turns from mid-sentence hesitation pauses using acoustic VAD and semantic scoring. It provides low-latency decision and telemetry output through a native MCP interface for integration with MCP-compliant clients.

Official·1 source

genpark-web-form-input-schema-auto-mapper-skill

Enables autonomous web form inspection and schema auto-mapping by matching input attributes, autocomplete hints, and regex validations to agent state, while also pruning DOMs and converting tables into structured JSON for web agents.

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Enables autonomous agents to inspect live web pages, prune noisy DOM content down to semantic essentials, and bind each form field to agent state by matching input attributes, autocomplete hints, and regex validations. It also converts HTML/Markdown tables into type-inferred JSON records and scores agent action trajectories for precision, recall, and edit distance.

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Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

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Enables users to perform zero-dependency quantitative finance and risk analytics through MCP, including Nelson-Siegel yield curve interpolation, option Greeks, Monte Carlo simulations, VaR/CVaR, and bond duration/convexity calculations. It supports natural-language financial modeling and hedging strategy generation in MCP-compatible clients.

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A single-install MCP server that provides AI agents with real-time market data, DeFi intelligence, payment rails (x402/Q402), agent identity infrastructure, and self-evolution capabilities.

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