MCP server for Roblox Studio. 35 tools, push-based SSE bridge, two-way script sync with files, editor-safe script edits, one-step undo.

Enables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.

Enables read-only querying of Pacific Crest Trail legs, mile-indexed towns, passes and lakes, and vegan resupply stops with last-checked dates.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

REST framework for Delphi: JAX-RS style resources and routes, servers and clients, JWT, OpenAPI 3, FireDAC and Devart UniDAC/MyDAC/IBDAC, SSE, MCP servers for AI agents. Windows, Linux, Docker.

Exposes a single tool, generar_cierre(usuario), that reads the last three days of a public GitHub user's activity and returns a roughly forty-word end-of-day script covering what was closed, what is still open, and where to start tomorrow, including why the oldest open PR is stuck. Callable from Cursor, OpenCode, Claude Code or any MCP client, unlocked with a one-time x402 license token passed as an x-license header.

Open-source HCM system for managing HR processes with AI agents. Full data ownership, MCP/A2A-native, no vendor lock-in.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables auditing, formatting, and compiling Brazilian academic manuscripts (TCCs, dissertations, articles) against ABNT and IBGE standards, with structural diagnostics, citation-reference cross-checks, tone analysis, bibliography lookup via Crossref/SciELO and DOI, and PDF generation through Typst or LaTeX. It also supports spec-driven research planning and simulated defense-board questioning so objectives and conclusions stay aligned.

Enables agents to bring claims, situations, and Scripture passages to five doors (Check, Find, Walk, Word, Keep) and receive a verdict, the worked reasoning trail, cited sources, and a re-checkable content-addressed seal. It covers 77 verifier domains and 880k+ cards fully offline, so answers are found, verified, and sealed rather than generated.

Exposes an assess_repo tool that scans a repository, local folder, or npm/PyPI package and returns supply-chain risk findings with file, line, and code evidence — install-time scripts, dangerous patterns, secrets, AI-agent manipulation, impersonation and published-artifact mismatches — while never executing the target's code. Findings carry severities from info to critical so results can gate installs and CI jobs.

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

Enables live inspection and debugging of running C++ processes (development builds with PDBs) by controlling execution through cdb, evaluating expressions with natvis, reading and writing memory, and rapidly querying symbols and types via DIA, with special support for Unreal Engine processes.

A task-aware transparent proxy that wraps stdio MCP servers (such as git, filesystem, and terminal) and compresses large tool outputs field-by-field using declarative YAML profiles, passing narrow intent queries through untouched. Discarded data is stored in SQLite and can be losslessly retrieved via an injected tool, either in full, by line range, or by grep, while errors are always preserved and failures fall back to the raw result.

Runs entirely local media tooling as an MCP plugin: it edits and inspects video, denoises/transcribes/normalizes audio, generates images, performs OCR, does offline text-to-speech, drives the user's logged-in Chrome via CDP, and reads or creates Office and PDF documents. Everything executes on the machine through ffmpeg, faster-whisper, MossFormer2, ComfyUI/FLUX, Tesseract, SAPI and Playwright, with no API costs or file uploads.

Exposes device discovery, capabilities, observation, logs, task execution and cancellation, and evidence retrieval as tools so MCP clients can run typed mobile automation tasks and inspect proof of completion.

Enables an LLM client to perform reverse engineering inside IDA Pro without the GUI, opening databases headlessly in persistent worker processes and exposing tools to decompile and disassemble functions, rename symbols, retype variables and arguments, add comments, and convert numeric bases. It can also run over stdio or HTTP transports and adopt an existing GUI session when desired.

Enables a model to write short Python programs that call a wrapped MCP server's tools as async functions, rather than invoking them one at a time. The program runs in a locked-down Docker sandbox, and every tool call passes through a host-side bridge that enforces an allowlist, schema-validated arguments, call budgets, timeouts and output caps.

Enables natural-language querying of GLPI IT helpdesk and asset data—tickets, ownership, deadlines, and person-held assets—plus safe follow-up additions and ticket updates that require one-time confirmation before changes are applied.

Enables AI assistants to read Lanhu requirements and design handoffs, extract pages, annotations, screenshots, design parameters, and image assets, and share team knowledge through a collaborative message board.

Enables AI agents to test WCF/SOAP and REST services directly, with WSDL discovery, authenticated calls, and deterministic assertions. Supports YAML multi-step scenarios with variable extraction, JSONPath/JSON Schema checks, and CI runs without spawning PowerShell or curl.

Enables MCP clients to discover NVIDIA, AMD, and Intel GPUs, monitor utilization, memory, temperature, power, clocks, and processes, retain bounded local history, and estimate whether AI models fit available VRAM before loading them.

Enables MCP clients to generate images, videos, and Seedance clips through the PowerTokens official REST API, including model and pricing discovery, cost estimation, asset uploads for first/last-frame references, and automatic polling and downloading of results.

Enables local management of Pavo website accounts through a stdio MCP service, covering canvases, reference media, generation tasks, result downloads, and website assets. It also supports AI script episode planning plus character, scene, and prop asset management.