"Hugging Face" matching MCP servers:

Provides MCP tools for scanning, redacting, and packaging dataset/model directories for public release, leveraging Presidio for PII detection and generating Hugging Face cards and EU AI Act training-data summaries.

AgentAvow scans any MCP server, package (npm/PyPI/crates/Docker/Hugging Face), or GitHub repo and returns a signed, offline-recomputable 0–100 trust score with a plain safe / needs-review verdict. Authless and read-only, no account.

Semantic code search for any MCP client: indexes local folders of code and docs and answers plain-language or code queries with matching passages, file paths, line ranges and scores. Embedding runs on the local CPU with the Motherlode code-search encoder, so no file content leaves the machine; the encoder downloads once from Hugging Face. Install: npx -y blackwindow-weave-mcp.

Tell your AI agent what you want a model to do. It searches Hugging Face for each part of the job and tells you which parts already exist there: which are an exact fit, which to fine-tune, which to train, and which are just code. Every model it names is real, current, and sized for your hardware.

MCP server for the abliteration.org catalog: 18 read-only tools over every abliterated and uncensored LLM on Hugging Face, with method classification, download trends, deletion history, and four alignment indices.

Checks whether an open-weight LLM fits your GPU: VRAM for weights, KV cache and overhead at each quantisation, a tokens-per-second ceiling, the longest context that fits, and what would work instead when it doesn't. Reads any Hugging Face repo's config.json. Free, read-only, no API key.

Gives Claude Code, Cursor and other agents structural awareness of a PyTorch model: layers, params, FLOPs, blast radius, the design linter, a full readiness/cost/deployment verdict, and a ranker for which of k candidate designs to train. Reads a .py, a .neurarch.json, 81 bundled reference architectures, or a Hugging Face repo. Offline, no API key.

Finds new AI model, product and repository names on X, Hugging Face, GitHub and sitemaps, plus sites that just added a payment link, then sizes their keywords with search volume, Google Trends and page-one competition.

AI-driven AR lens orchestrator for live OBS streams that enables control of Streamfog face filters, AR effects, and Vtuber avatars through MCP tools via the local Streamer.bot WebSocket bridge.

Make UGC videos for mobile apps with AI influencers who keep the same face, from any MCP client. Create a character, generate new looks, turn a look into a 5 or 10 second clip, add your app screen recording and a hook, then download the finished vertical video. Needs a ClipUGC API key.

Connects AI assistants to a live Autodesk Inventor session over COM to inspect and diagnose models: list bodies and features, find sliver faces in imported geometry, check face neighbors, and dry-run Unwrap with automatic rollback. Zero dependencies, Windows only.

Provides diamond education tools for AI assistants, including grading report verification, face-up size estimation, and market price index, all backed by sourced and dated facts.

Self-hosted AI clipper: long-form video to vertical shorts with face-tracked reframing, verified filler cuts and captions.

Provides AI assistants with access to the Fake Store API for e-commerce prototyping and testing, enabling queries on products, carts, and users.

Model Context Protocol (MCP) server for Spanish Electronic Invoicing. Provides tools to generate, validate, and submit invoices across VERI\*FACTU, Facturae/FACe, SII, TicketBAI, and Crea y Crece B2B.

Turns Claude into a race engineer for original Assetto Corsa by reading telemetry, storing laps, and providing engineer-grade summaries, alongside read/write access to car setups.

HallucC — an MCP server for hallucination detection and AI agent safety. Claim-by-claim fact-checking of LLM/agent output with cited sources, a prompt-injection & jailbreak guard, and L0–L3 risk gating for computer-use (CUA) agent actions. 5 tools, 3 free checks/day, works with Claude Code, Cursor and Claude Desktop.

An MCP server for Drag Race knowledge, enabling search of queens, seasons, episodes, winners, and comparisons. It provides structured information through community-maintained data.

Enables agents to forecast dynamic airline ticket fare volatility and produce optimal buy-now versus wait-and-freeze recommendations through a zero-dependency MCP STDIO interface.

Enables autonomous agents to cross-reference factual claims against multiple source documents, detect ungrounded statements, and compute normalized confidence scores. It supports multi-source corroboration and claim verification through a single MCP tool.