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749,480 tools. Updated 2026-11-06 00:35

"Common Lisp" matching MCP tools:

  • Run Emacs Lisp code directly and retrieve the evaluated result, enabling automated scripting and real-time interaction with Emacs state.
    MIT
  • Send Emacs Lisp code to the Emacs process for execution and retrieve results, enabling AI assistants to control and interact with Emacs programmatically.
    -
  • Retrieve the After Effects ExtendScript cheat sheet covering ES3 rules, helpers, and common match names before writing complex scripts.
    MIT
  • Retrieve a detailed AI governance unit by slug to access scope, key requirements, implementable controls, a checklist, and common pitfalls. Use after search or list to get full details.
    MIT
  • Create word cloud charts to visualize word frequency or importance through text size variation. Analyze common terms in social media, reviews, or feedback data.
    TypeScript
    MIT
  • Provides step-by-step explanations of common Orderly development workflows, helping developers understand wallet connection, deposits, SDK setup, and order placement.
    MIT

Matching MCP Servers

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    MCP server for Common Crawl CDX that enables backlink discovery, expired domain finding, and competitor gap analysis without requiring API keys.
    4
    MIT
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    MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.
    13
    MIT

Matching MCP Connectors

  • Pick one movie, show, book, artist or restaurant a whole group will enjoy, using Qloo taste data.

  • Picks one movie, TV show, book, music artist, podcast, restaurant or destination that a whole group will enjoy. It uses Qloo taste data and protects the least happy person in the group.

  • Check which switch, variable, or common-event IDs are already allocated to prevent reuse conflicts. Pass an ID to see its label and every location where it is referenced.
    MIT
  • Audit a website's content quality by sampling pages from its sitemap. Get score distribution, worst pages, and common issues for portfolio-level health checks.
    MIT
  • Trace user journeys from a start event to see the most common next steps, ranked by user count. Anchor on any event or use the default start to reveal where users go after key actions.
    MIT
  • Resolve common names or clades like 'human' or 'bacteria' to NCBI taxonomy IDs, enabling precise taxonomy-based PDB structure searches instead of keyword guessing.
    MIT
  • Retrieve EVM event logs filtered by contract address, topic signature, or common event name, with optional inline decoding and earliest/latest scanning for targeted lookups.
    MIT
  • Retrieves the complete SRG+ how-to guide covering navigation, content creation, widget shapes, safe updates, asset upload, archive/restore, and common pitfalls. Use before authoring or editing content.
    MIT
  • Explain how two people in a Gramps family tree are related by naming person 2's relationship to person 1, including closest and all found relationships with common ancestors.
    AGPL 3.0
  • Reserve the next unused switch, variable, or common-event ID to prevent silent collisions from manual ID picking. Read-only: suggests IDs, does not write them.
    MIT
  • Find ready-made templates for common data jobs on known sites, such as leads, reviews, rankings, jobs, transcripts, or prices. Filter by keywords, site, or category to pick one before running.
    MIT
  • Produce a study-level synthesis report aggregating all sessions, highlighting overall patterns, common findings, and completion rates. Use it to analyze across participants.
    MIT
  • Retrieve gym check-in records for a date range, newest first, with totals and habit insights like most common day and hour. Defaults to the last 90 days.
    MIT
  • Retrieve the static onboarding guide for this server, including supported workflows, network name synonyms, recommended call sequences, and common pitfalls. Read once at session start to understand how to use the API and map network names.
    MIT