Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
Search large codebases semantically from MCP-compatible coding agents with Claude Context
Use Claude Context when a coding agent needs targeted semantic retrieval from a very large repository instead of repeatedly loading folders or files into prompt context. It indexes code into a vector database and exposes code-search retrieval through MCP for Claude Code and other
Search large codebases and structured document trees without embeddings before building heavier retrieval stacks with TreeSearch
Index docs and source trees into structure-aware search so you can answer targeted questions quickly without a vector database or brittle grep sprawl.
Search Help Scout conversations and thread context before drafting support replies
Lets an MCP-compatible agent search Help Scout inboxes, customers, organizations, and full thread history so support replies start with the right account and ticket context.
Search cross-agent Markdown memory and conversation history with memsearch
Give supported coding agents a shared Markdown-first memory layer so they can recall prior decisions, transcripts, and notes across sessions instead of re-deriving context from scratch.
Search and rewrite code with structural GritQL patterns before broad migrations
Use GritQL when an agent needs reviewable structural search and rewrite passes across a large codebase before a migration, policy cleanup, or API change, instead of relying on regex or hand edits.
Search and resume past coding-agent sessions locally with exact handoff commands using Agent Sessions
Browse archived sessions from multiple coding agents, search across them locally, and copy exact resume commands when you need to re-enter prior work.
Seal Kubernetes Secrets into Git-safe manifests with kubeseal
Encrypt Kubernetes Secret manifests against a Sealed Secrets controller so agents can commit cluster-targeted secrets to Git without exposing plaintext.
Screen packages and agent skill repos for malware and supply-chain risk before adoption with SafeDep Vet
Use SafeDep Vet as a pre-adoption gate when an agent, maintainer, or CI pipeline is about to add a new dependency or import a skill repository and needs malware and policy signals first.
ScrapyCloud Job Manager
Manages Scrapy spider deployments and job scheduling on ScrapyCloud via the Scrapinghub API. Handles spider argument injection, job prioritization, and item export to S3 or BigQuery.
Scrapy Spider Generator
Generates production-ready Scrapy spiders with middleware configuration and item pipeline setup. Uses the Scrapy Framework API, Selector (XPath/CSS), and Twisted reactor for concurrent crawling.
Scrapy Spider Data Pipeline
Builds and manages Scrapy web scraping spiders with custom item pipelines. Supports Splash rendering for JavaScript pages, rotating proxies via scrapy-rotating-proxies, and export to MongoDB or Elasticsearch.
Scrapy Spider Architect
Generates Scrapy spider classes with CSS/XPath selectors, item pipelines, and middleware configurations for structured web scraping. Includes Scrapy-Splash integration for JavaScript-rendered content.
Scrapy Python Web Crawling and Structured Data Extraction Framework
Scrapy is a high-level Python framework for web crawling and structured data extraction. It is a strong fit for agent workflows that need repeatable scraping, asynchronous crawling, feed exports, and extensible pipelines for transforming or storing collected data.
Scrapy Pipeline Manager
Manages Scrapy spider deployments via Scrapyd API with custom item pipelines for MongoDB ingestion, deduplication via MinHash LSH, and rotating proxy middleware configuration.
Scrapy Pipeline Data Extractor
Builds production Scrapy spiders with custom Item Pipelines for data cleaning and storage. Uses scrapy.linkextractors.LinkExtractor for crawl scoping and ItemLoader with MapCompose processors for field normalization.
Scrapy Distributed Crawler Framework
Orchestrates large-scale web crawling using Scrapy with scrapy-redis for distributed job queuing. Integrates Splash for JavaScript rendering, stores results in MongoDB via scrapy-mongodb pipeline, and respects robots.txt with AutoThrottle.
Scrapling Adaptive Web Scraping Framework
Scrapling is an adaptive Python web scraping framework that automatically handles website structure changes. Its parser learns from page updates and relocates elements, its fetchers bypass anti-bot systems like Cloudflare Turnstile, and its spider framework scales to concurrent m
ScrapingBee API Data Harvester
Interfaces with the ScrapingBee REST API for JavaScript rendering and Google SERP extraction. Uses custom_google parameter for search result parsing and screenshot endpoint for visual page archiving.
ScrapeGraphAI LLM-Powered Web Scraping with Graph Logic Pipelines
ScrapeGraphAI is a Python web scraping library that uses LLMs and directed graph logic to create intelligent scraping pipelines. Describe what data you want to extract in natural language and the library builds and executes the extraction pipeline automatically.
Score RAG answer quality and retrieval quality before rollout with Ragas
Measure whether a RAG change actually improved answers and retrieval, instead of guessing from a few spot checks.
Score open source repositories for supply-chain risk signals before adoption or release decisions with Scorecard
Check a repository against OpenSSF security heuristics before you trust it as a dependency, approve it for use, or ship from it.
Score model outputs with reusable evaluator prompts and metrics using autoevals
Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code.
Score Kubernetes manifests for reliability and security risks before deploy with kube-score
Use kube-score to statically review Kubernetes YAML or rendered Helm output for rollout risks, weak defaults, and resilience gaps before merge or deploy.
Schema.org Structured Data Injector
Generates and validates JSON-LD structured data markup for articles, products, FAQs, and HowTo content types following Schema.org specifications. Integrates with Google's Rich Results Test API and validates against the Schema.org vocabulary using the sdtt validator.