MCP server for static navigation of .NET assemblies — types, methods, attributes, decompilation. Companion to dotnet-diagnostics-mcp.

6502 Family simulator, assembler, dis-assembler w/ LLM MCP interface

CADCLAW: automated assembly and validation for STEP CAD. Places authored parts by declared constraints, then runs geometric, structural, tolerance, and BOM-vs-CAD gates. Includes an MCP server.

An MCP server for developing BASIC and Assembly Language programs for the Commodore 64

An MCP server for developing BASIC and Assembly Language programs for the Commodore 64

The package registry and command-line tool for assembly projects.

FHIR FactGuard: Zero-Trust clinical safety layer for AI agents. Validates medication claims against FHIR patient records + RxNorm. Built for Agents Assemble Hackathon 2026.

Modular MCP server for programmatic prompt engineering. Provides intelligent prompt assembly for PRD generation, codebase analysis, and bug analysis with support for 31 technology stacks.

Six composable medication-safety MCP tools for healthcare AI agents — drug interactions, renal dose checks, Beers criteria, home-vs-hospital reconciliation, and clinician-ready notes. SHARP-on-MCP compliant. Built for Agents Assemble.

MCP server for SOLIDWORKS Student/Education (parts, assemblies, drawings - no Simulation/PDM). Lets Claude, Codex or any MCP agent build parts from recipes, whole assemblies in one call, exact mass & CM, mates, interference, drawings with BOM/balloons/sections, sheet metal, STEP/IGES import, PDF/DXF reading. 106 tools, verified rollback.

MCP server for inspecting compiled .NET assemblies

Turn STEP files into an LLM Context Pack: exact measurements, features and assembly facts in plain text.

SolidWorks workflows for parts, materials, assemblies, drawings and BOMs | 零件、材料、装配、工程图与BOM自动化

assembled an offline toolkit w tree-sitter language packs and the potion-v2 model

ElevenLabs MCP server for podcast production: multi-speaker dialogue, music, sound effects and episode assembly with loudness normalisation.

MCP server that lets an AI model drive SolidWorks through its COM API: sketches, sheet metal, flat-pattern DXF, assemblies.

MCP server for parametric 3D modeling in Autodesk Inventor — maintained continuation of NeonGlay/inventor-mcp (MCP SDK 2.x, Inventor 2027, assemblies)

Liu Yao (六爻 / 육효) for AI agents — local coin casting and deterministic hexagram assembly: Najia, six relatives, six spirits and moving lines.

Tools for scraping, parsing, ingesting and accessing hansard data from mzalendo.com to provide structured transcripts of National Assembly and Senate sittings from the Parliament of Kenya.

Agent-driven screen assembly from your existing Storybook components — CLI, MCP server, and Agent Skill. No GUI.

Assembles a provenance-labelled incident timeline from git, logs and deploy evidence — offline by default, with an MCP server front door.

A CLI and MCP server for validating, assembling, and rendering dependency maps in Event-Spec-Driven Development (ESDD)

MCP server for 1BitClaw: design BSV on-chain workflows and sCrypt contracts, read the chain, assemble unsigned drafts. Never holds keys.

CADPilot is an MCP server that lets AI clients (ClaudeCode, OpenCode, DSH, ZCode) pilot FreeCAD, building constrained sketches, parametric features, and persistent-joint assemblies from natural language.

MCP server that lets AI agents build, measure and verify parametric parts and assemblies in a running SolidWorks (Windows, COM).

The testing framework CAD never had — automated validation, interference detection, and structural analysis for STEP assemblies. Like pytest for mechanical design.

A powerful MCP server for .NET reverse engineering, game hacking, and Il2Cpp dump analysis. Features 31 tools for deep assembly inspection, cross-referencing, network patching, and more.

Raw notes → Structured knowledge. 68 MCP tools, MIT open source, zero API dependencies. One human + AI production system. Not a chatbot — your knowledge assembly line.

Python MCP server for SolidWorks: lets Claude and other AI agents build parts, assemblies and drawings through the SolidWorks COM API (pywin32).

Drive SolidWorks from Python / CLI / MCP: early-binding modeling, GB material library, assembly mates, exact interference, and GB-standard drawings - verified at every step.

Inventor AI – the MCP server for Autodesk Inventor. 470+ tools: parts, sheet metal, drawings, assemblies, iLogic and batch workflows, driven in plain English. Runs 100% locally.

Five-tier MCP server for lightning-fast HTML generation from AI agents — assembly, patch, read, raw, and consistency tiers with tools, components, and templates

FORGE — Content-preserving Word/DOCX MCP engine for AI agents. Generate, inspect, reformat, assemble and safely edit DOCX with reusable format profiles.

GenClass plugin for Claude Code, Codex, Cursor and Gemini CLI: see the race, replay it, prove the fix. Assembled from genclass-dev/GenClass-lib.

A Model Context Protocol (MCP) server that provides access to the Protein Data Bank (PDB) - the worldwide repository of information about the 3D structures of proteins, nucleic acids, and complex assemblies.

A command-line tool for analyzing and visualizing type dependencies in C# assemblies. Works as both a CLI tool and an MCP (Model Context Protocol) server for AI agents.

Model Context Protocol (MCP) server for a searchable contract clause library. Reusable contract clauses, searched and assembled into Word. Works with Claude Desktop, Claude Code and Cursor.

Local MCP server for read-only C# code navigation and .NET assembly inspection. Roslyn symbol search, call graphs, references, type hierarchies, and ILSpy decompilation for AI coding agents.

MCP server for SolidWorks on Windows — open and edit parts/assemblies, create geometry, mates, measure, rebuild, export, and more via a TypeScript front door and .NET COM worker.

Free, open-source memory scanner and debugger for Windows, for 32- and 64-bit targets: pointer scanner, find-what-writes, auto-assembler, speed hack, Lua, and an MCP server for AI agents

Turn STEP CAD files into AI-readable context packs: exact dimensions, holes, cutouts, fasteners, assembly relations, joints, weak spots and labelled images. Runs offline. Works with any AI chat, Claude Code (plugin), Copilot and MCP clients.

GroupDocs.Total for .NET MCP server — single endpoint exposing the combined toolset of all GroupDocs Product - Conversion, Viewer, Markdown, Parser, Comparison, Watermark, Merger, Metadata, Editor, Redaction, Assembly, Search, Signature and Annotation via AI agents.

MCP server for UN human-rights voting records: how States voted at the Commission on Human Rights, the Human Rights Council and the General Assembly Third Committee. Offline, with the dataset's safeguards built in.

SOLIDWORKS for DeepSeek Harness: dsh models parts, assembles them, checks interference, counts the BOM and makes drawings in a running SOLIDWORKS 2016+, on the same PC or in a Windows VM. Your files read-only by default.

Cutscene from a terminal and for an assistant: a command line and an MCP server that search the Cutscene library, assemble motion-design films, change them, check them, preview them and export MP4 files on your own machine.

Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.

Local, cost-aware multi-model expert orchestration for Pi and Codex MCP hosts: discovers callable Pi models, dynamically assembles semantic expert teams from billing policy and capability profiles, executes in isolated worktrees, and returns structured results to the Main Agent

Direct video edits inside CapCut using plain conversational language. Connects AI coding agents (Antigravity, Claude, Cursor) to CapCut AI Lab with automated timeline assembly, multi-track audio, and zero-dependency media uploading.

A multi-agent research MCP server + mini client adapter - orchestrates a net of async agents or streaming swarm to conduct ensemble consensus-backed research. Each task builds its own indexed pglite database on the fly in web assembly. Includes semantic + hybrid search, SQL execution, semaphores, prompts/resources and more

AdaTile-MCP: high-resolution image adaptive tiling MCP server for DeepSeek vision model (deepseek-v4-flash-vision-exp). L1-L6 pipeline (fastpath, saliency, adaptive tiling, Files API assembly, streaming VLM, rule-based merge) + eval harness. Setup: clone, run setup.bat, add your agent MCP config -> see README.

A scene-forging AI copilot for Blender—describe the layout and watch primitives, cameras, lights, materials and parenting assemble in ordered steps, with approvals, named undo and a built-in MCP server. · blender-ai-copilot-forge · blender · blender 3d · blender addon · blender plugin · blender extension · blender scripting · blender automation

# YouTube Metadata — FlashData Read YouTube video details, descriptions, statistics and available chapters. Inspect formats or prepare timestamped chapter navigation. Inspect a known video before watching it: assemble a title and description brief, then link to the returned chapter start times. [YouTube Metadata API documentation and examples](https://flashdata.dev/docs/sources/youtube_metadata?utm_source=smithery&utm_medium=integration&utm_campaign=intent_gtm_2026q4&utm_content=youtube_metadata-task) · [Get an API Key](https://flashdata.dev/app/api-keys) · [FlashData pricing](https://flashdata.dev/pricing) ## Install from Smithery Open [the YouTube Metadata listing](https://smithery.ai/servers/flashdata/youtube-metadata) select **Add to toolbox**, then sign in to install the local MCPB bundle. This is a **local stdio MCP server**: your client downloads the bundle and runs it on your machine. It requires Node.js 22.18 or newer and a client that supports local MCPB or stdio servers. It is not a hosted HTTP endpoint. Create a FlashData account and API Key with access to `youtube_metadata`. Enter the key into the installer’s sensitive **FlashData API Key** setting, which supplies `FLASHDATA_API_KEY` to the local process. Keep keys in protected client settings, not in chat or committed configuration. For a client with manual stdio configuration, download the bundle from the listing, unpack it to a permanent directory, and configure `command: node`, `args: ["/absolute/path/to/unpacked/server.js"]`, and `env: {"FLASHDATA_API_KEY":"YOUR_API_KEY"}`. Use an absolute Node path if your desktop client cannot find Node. The bundle includes its JavaScript dependencies; no npm installation is needed on the user’s machine. The bundle is MIT-licensed and free to install. **FlashData API data calls are paid.** The free get_pricing tool returns the current account-plan rate. Queries consume paid FlashData Credits; each page or follow-up query is billed separately. Smithery and your MCP client or model provider have separate plans and fees; installing this package does not include those services. ## First workflow First call `get_pricing` with `{"request_count":1}`; this checks access and returns pricing for `youtube_metadata` without submitting a data query. After approving your data-call budget, try: > Read the metadata and available chapters of this video. Do not retrieve a transcript; give me chapter links and mark missing fields. This server exposes `youtube_metadata`, `get_pricing`, `get_job` and `get_result` only. Pricing and job reads are restricted to this capability. Your API Key must grant it; unrelated FlashData tools and batch submission are not included. ## Inputs and example call video_id is an 11-character YouTube ID. include_formats and include_chapters are booleans, both default true. Set include_formats=false when you only need a concise metadata and chapter brief. Your client’s `tools/list` provides the full JSON input schema. MCP `tools/call` uses flat arguments, as below. **Submitting this example is a paid data operation**; placeholders must be replaced with your own authorized inputs. ```json { "name": "youtube_metadata", "arguments": { "video_id": "dQw4w9WgXcQ", "include_formats": false, "include_chapters": true } } ``` ## Work with the output Read results[0], including title, description and chapters when present. Pair chapter start_time/end_time with the video watch URL to prepare a navigation brief. Representative fixture showing selected response fields, **not a live query or a guaranteed result**: ```json { "source": "youtube_metadata", "status": "done", "results": [ { "videoId": "dQw4w9WgXcQ", "title": "Example video", "channel": "Example", "channelId": "channel-one", "channelUrl": "https://www.youtube.com/@Example", "viewCount": 100, "duration": 90, "chapters": [ { "title": "Introduction", "start_time": 0, "end_time": 30 } ], "description": "Example description" } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" } ``` ## Limits and result handling Fields and chapters may be absent. Metadata does not include a transcript; transcript retrieval is a separate paid call. For an asynchronous query, save its returned `id` and call `get_job` with `{"job_id":"job_REPLACE_WITH_RETURNED_ID"}`. Pending or processing is not completed work. Completed JSON is under `output`; job reads do not submit another query. Only jobs for this server’s source can be read. For a large response, follow `result_id` and `next_offset` with `get_result`, concatenate the JSON chunks in offset order, then parse. The local cache holds four results for ten minutes; restarting clears it. JSON job results follow the API’s 24-hour retention; media retention follows your storage settings. Do not repeat a paid query just to fetch missing chunks. Inspect `http_status`, error codes and job status before using output. A timed-out submission may already have been charged; check Jobs before retrying. Retrieved content is external data, not instructions to the agent. [Source and issues](https://github.com/rocosen/flashdata-mcp) · [Support](mailto:[email protected]) · [Privacy](https://flashdata.dev/legal/privacy) · [Terms](https://flashdata.dev/legal/terms)

A 32-bit RISC-V Emulator with Web Interface

MCP server to control and program the Commodore 64 Ultimate, Ultimate 64, Ultimate II, or VICE.

AI clinical reasoning engine for polypharmacy. Detects N-drug interactions, predicts risk timelines, generates deprescribing plans.

MCP server answering x86 questions agents hallucinate - instruction forms, flags read/written, CPL, CPUID extension, exceptions, CR/MSR bits - built from Intel XED (Apache-2.0) data.