"Search for Revit 2022" matching MCP servers:

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Ask, check and change live Revit models from Claude, Cursor or any MCP client. One undo per change, read-only switch. Revit 2022-2027.

Hardened MCP server for Autodesk Revit enabling LLMs to inspect and manipulate Revit models via pyRevit, with token authentication and capability profiles.

A Python package that enables integration with Autodesk Revit through the Model Context Protocol, allowing users to send commands to Revit and automate interactions with building models.

Enables AI agents to connect to Autodesk Revit and run Revit API Python, inspect models, capture screenshots, request user element selections or annotated snips, and manage multi-instance connections through MCP.

MCP server for Autodesk Revit via pyRevit, providing 45 tools for building design, editing, analysis, MEP, interop, and documentation. Works with any MCP client.

Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

MCP server for Autodesk Revit 2024/2025/2026/2027 via pyRevit — 48 tools for building design, editing, analysis, clash detection, MEP, interop, documentation, and model persistence.

Enables natural-language querying, editing, and drawing production for Autodesk Revit models through an MCP client, via a bundled C# bridge add-in running inside Revit.

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

Connects LLM assistants to Autodesk Revit BIM models, enabling reading metadata, listing elements, creating geometry, batch parameter updates, and exporting schedules. Supports fake mode for testing without Revit and pyRevit mode for live integration.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.

MCP server that finds open-source, commercially-usable icons and returns direct SVG download links, searching over 300,000 icons with license filtering.

Enables Grok native web search, X (Twitter) search, and Jina Reader web page fetching as read-only MCP tools.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

Enables Claude to plan trips by performing live searches against Google Flights, hotels, vacation rentals, activities, and events, plus weather and currency conversion.

MCP server for Google Search using a logged-in browser profile, delivering personalized, ad-free results with advanced operators and pagination. It also fetches web pages as markdown through the same browser session.

Job search mechanics for an AI assistant: search Arbeitnow/Adzuna/JSearch, fetch a single job posting, render a CV to PDF, lint it against your own configurable anti-fabrication rules, and log the outcome to your application registry. Never auto-applies.

A personal job-search assistant for Claude Desktop that searches real job boards, scores each job 0–100 for fit, and displays a ranked board for fast triage.

Exposes NetSuite saved search exports as a structured query interface for Claude, enabling file discovery, column inspection, filtering, aggregation, memo categorization, and anomaly detection.

Enables fast, low-token code search for AI coding agents via a local BM25 engine built on SQLite FTS5, with support for camelCase, snake_case, and Japanese text. Provides a stateless MCP stdio server and a Hermes adapter for multi-agent environments.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Enables AI agents to perform semantic code search across entire codebases using natural language queries. Provides fast indexing and ranked search results with line numbers and file paths through the Seroost search engine.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables AI assistants to search JLCPCB's 450K+ electronic component catalog with real-time stock levels and pricing, supporting keyword search, filtering, and detailed component information.