1774 Model Context Protocol servers — searchable, rated, ready to install.
Search AO3 and have fics read by a secondary model before they're recommended
MCP server exposing the Alibre PDM vault API: safes, projects, files, properties, versions.
Upload, edit, compress, protect, redact, and compare PDFs with KDAN PDF in Claude and ChatGPT.
Give Claude complete understanding of your software project.
Local multi-client RAG server over the Model Context Protocol.
Live LLM pricing, context windows and model ids, read from each vendor's own page every 3 hours.
Virtual try-on and on-model AI fashion photography: catalog search, try-on grids, HD delivery.
Traces which neurons and attention heads drive a language model's output via MCP tools.
MCP server for vertical datum conversions using coastalmodeling-vdatum
Delegate heavy tasks from Claude Code to the Antigravity CLI (Gemini) with quota-aware failover.
55 Concordance-tested financial models with published specs; responses cite assumptions and sources.
Renders Mermaid diagram syntax to PNG or SVG images for LLM clients
Wise (formerly TransferWise) MCP server for Model Context Protocol hosts
Benchmarks local LLM inference speed (tokens/sec) on your own hardware via MCP tools.
Search and download sprites, models, textures, and sounds from VG Resource.
Windows GUI automation on a hidden second desktop, driven from Claude Code over MCP.
Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
Read-only OpenIM search for institutional buy-side investment models and architecture.
Free App Store competitive intelligence for Claude — rival downloads, revenue, and ASO keywords.
Research Hadith, authenticity, grading, Takhrij and Sharh [commentaries] in Claude Desktop for free.
Model Context Protocol server for Parseable. Lets LLMs discover and query Parseable.
The Kalman filter for the non-Gaussian, non-stationary world. Unsupervised structural change.
Free OpenAI-compatible inference with signed provenance receipts and 3 focused MCP tools.
Convert web pages or HTML to clean Markdown for LLM context. Local, no external API calls.
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