"Definition or Uses of the Term 'Vertex'" matching MCP servers:

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

Enables generating UI design rules, fetching color palettes, and retrieving brand design references from over 328 brands.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

Hosted MCP gateway to the RTP global commons of neighborhood practice and relational tech knowledge. AI builders can query 275+ recipes, frameworks, and methodology docs for community organizing.

Enables AI assistants to fetch sourced, citable face measurement percentiles, face type definitions and threshold rules, methodology and citation details, and to classify a face shape from four distances using the site's seven rules in order. Read-only and takes no photo.

Enables MCP clients to connect to The Farmer Was Replaced through a local BepInEx bridge, providing live game state, inventory, unlocks, save management, script read/write/run, recipe lookup, and documentation access.

Exposes a curated set of Bot Army tools (chat, GTD tasks, docs search, dice roll) to external SSE-only MCP clients via authenticated SSE transport.

Enables AI assistants to search the Godot 4.7 documentation locally using hybrid keyword and semantic search, providing accurate API references with URLs and section hierarchy.

Gemmein is the backend for AI-powered products: sign-in, data under seven access rules, AI tools priced in credits, and payments through Stripe, a relay, or RevenueCat. The @gemmein/mcp server gives a coding agent that whole contract as tools: the builder guide, the SDK reference, doc search, rule and error explainers, and check_integration, a live check of an app's access boundaries.

MCP server for the Federal Register of Legislation, enabling point-in-time searches, retrieval, and verification of Australian Commonwealth law, including citation checking.

Provides read-only access to finished meeting transcripts for AI assistants like Claude Code or Codex, enabling them to answer questions or draft summaries based on the transcriptions.

Enables AI coding agents to search public design-system catalogs and retrieve only the relevant tokens or sections for a chosen brand, so generated UI matches a specified visual style instead of generic AI output.

An MCP server that provides surgical read/write access to individual sections of Markdown files, allowing agents to fetch, edit, or delete specific slices without touching the entire file.

Enables AI agents to search a local folder of Markdown, AsciiDoc, and text files through a SQLite FTS5 keyword index, returning the most relevant sections with file paths, line ranges, and heading breadcrumbs instead of grepping through a repo. It also exposes tools to list indexed documents and refresh the index incrementally, all offline with no dependencies, network calls, or embeddings.

Enables AI assistants to answer British Columbia employment law questions — overtime, breaks, statutory holidays, pay, leaves and termination — from the current official text on BC Laws, in English or Chinese, with the act, section number, link and official "current to" date. Exposes tools to locate acts, browse a table of contents, retrieve and search sections, and map everyday or Chinese terms to the wording the statute actually uses.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Checks the context files a coding agent reads (CLAUDE.md, AGENTS.md, SKILL.md, .cursor/rules) against the git index of a repository, and reports wrong letter case, broken links, missing paths, commands nothing defines and agent configuration that points at nothing. Two more tools report which sections drifted from the code and what each file costs; zero dependencies, stdio, Node 18 or newer.

Enables AI assistants to access the complete documentation of the jangada library, ensuring they write code using the correct and current API without guessing function names or parameters.