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234,543 tools. Last updated 2026-06-25 09:12

"Connecting external data sources for contextual LLM calls" matching MCP tools:

  • Get contextual guidance for using BookStack MCP tools, covering topics like authentication, content creation, user management, search, and best practices.
    MIT
  • Retrieve historical stock price data from local cache. Avoid external API calls by checking what data is available locally for a ticker and date range.
    MIT
  • List available data plane drivers and their resource schemas to identify which external systems can be read and what resources each driver exposes.
    MIT
  • Find all callees (functions and methods called) inside a specified Go function to understand its downstream execution flow, external service calls, and library usage.
    MIT
  • Retrieve all-time global counters for your project, including total runs, groups, calls, outcomes, tokens, cost, and duration, to monitor AI agent performance and LLM costs.
    MIT

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  • Retrieve analyzed context and raw HTTP request/response data for a specific event using the event ID. Optionally include receipt validation details.
    MIT
  • Find the right data exporter for pushing data to external services like Google Sheets, HubSpot, or Salesforce. Search by query and get matching exporters with IDs and descriptions.
    MIT
  • Syncs open GitHub issues into the Delimit ledger as contextual entries, enabling cross-references without writing back to GitHub. Use for enriching your ledger with external issue context.
    MIT
  • Validate workflow structure by checking DAG cycles, dependency references, and model ID format without LLM calls to ensure proper configuration before execution.
    MIT
  • Generates a conventional-commits-style commit message from structured spec and task data, including type(scope), references, file list, and co-authorship attribution, without external API calls.
    MIT
  • Generate correctly-formatted frontmatter for Hugo, Jekyll, Astro, Next.js, Dev.to, Hashnode, and Ghost. Auto-extracts description, reading time, slug, and suggests tags from article content. No external API calls required.
    MIT
  • Query multiple AI chatbots (ChatGPT, Gemini, Perplexity, Copilot) and receive structured answers with sources. Supports caching, geo-targeting, and localization for contextual responses.
    MIT
  • Create versioned data assets from S3, GCP, computation results, or combined sources for computational workflows in Code Ocean. Supports internal storage or external references without copying.
    MIT
  • Import content from Slack, Telegram, Git, or other external sources with full provenance tracking, capturing who said it, where, and when. Content is normalized and deduplicated before storage.
    MIT
  • Analyze outbound link destinations from any domain to identify partnership networks, referenced sources, and collaboration opportunities by revealing which external domains receive links.
    MIT
  • Extract structured financial data from investor relations websites and online sources for investment research when APIs are unavailable.
    MIT
  • Generate a WebSocket token to authenticate external streaming clients. Choose public or private token for real-time market data access.
    MIT