"Font Awesome" matching MCP servers:

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Enables AI agents to search, filter, and explore a local offline catalog of tools from awesome lists, including finding underrated tools, explaining ranking provenance, listing curator lists, and inspecting catalog facets. All access is read-only over local SQLite with no network calls or API keys.

Enables AI assistants to interact with FontLab for font design and manipulation, including querying font metadata, creating/modifying glyphs, applying transformations, and exporting fonts.

A Model Context Protocol server for Glyphs that exposes font‑specific tools to AI/LLM agents.

Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

Enables local, timestamped search over GitHub Awesome channel featured repositories with SQLite/FTS5 catalog, offering tools to search repos, get repo details, check catalog status, and update from video data.

A local-first FastMCP server that indexes offline frontend catalogs (components, patterns, motion libraries) and exposes discover, search, compare, and recommend tools to AI agents via stdio.

Enables MCP clients such as Claude to read the state of ZONT / Mega SX devices and control them, covering security arming, sirens, engine blocking, remote start, thermostats, custom commands, device management, event and sensor history, and data archives.

A unified MCP server for Glyphs font design software, integrating handbook queries and API reference lookups. Enables searching documentation, managing plugins, and accessing development templates through Claude.

MCP bridge for AI-assisted type design in GlyphsApp. Lets Claude, Cursor, or any MCP client read and write font data directly in GlyphsApp — bidirectional, real-time, live in the editor.

🚀 Token-efficient MCP server for Confluence. Reduces LLM costs by 76% via Markdown conversion. Supports listing, searching, and fetching pages.

Enables AI agents to interact with an Odoo ERP through tool calls that are allowlist-policy-checked, risk-scored and throttled before touching the ERP, covering record reads, writes, deletes and method execution. Every request and decision is recorded to a hash-chained, tamper-evident audit log with optional HMAC keys and anchor exports.

Lets AI agents draw, inspect, refine, and build fonts locally, managing UFO revisions, HarfBuzz previews, validation, and TTF/WOFF2 exports.

Enables MCP clients to open, read, edit, verify, and save Aegisub/ASS subtitle documents, covering event lines, styles, timing and QC, karaoke, override tags, vector drawings, clipping, and font metrics. Includes a libass-backed verification layer and byte-faithful round-trips, served over stdio or streamable HTTP.

MCP Server for OceanBase database and its tools

Search PubMed for articles matching the query.

Enables reading, creating, and editing Microsoft Word .docx documents through natural language, including text and table manipulation, cell merging, shading, borders, and table layout controls, plus font, paragraph, and list formatting. Supports extracting paragraph text and tables, appending headings and paragraphs, find-and-replace, and row, column, and table restructuring.

Enables querying Andorran public sources — official procedures, statistics, legislation and other government data — through Python clients and cited natural-language answers. It retrieves source content live, cites the original pages, and declines questions no listed source can answer.

Provides AI clients with deterministic Playwright-driven browser control, enabling navigation, interaction, screenshots, and inspection of rendered HTML, computed styles, console diagnostics, and font audits without an embedded LLM or API key.

A beginner-friendly repository for learning the Model Context Protocol (MCP) using FastMCP and uv, providing step-by-step setup and development workflow.