"Hugging: Exploration and Resources" matching MCP servers:

A production-ready local MCP server for Agent Studio, providing tools for calculation, search, chat, and Hugging Face text generation via the Inference API.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.

A robust server implementing the Model Context Protocol with SSE and STDIO transport, enabling real-time communication and extensible tooling for AI models.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Enables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.

Enables evidence-grounded resume tailoring by generating ATS-readable LaTeX/PDF resumes from a user-curated experience bank, with every bullet traceable to evidence and inferred wording flagged for user approval.

An MCP server that provides a chat tool with stateless instances and external session state, enabling durable conversation history and concurrent client handling.

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.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

MCP server for the LiteLLM proxy, enabling agents to administer resources like keys, teams, users, models, and proxy settings through risk-graded meta-tools.

An MCP server that gives your IDE or agent access to Google Gemini with autonomous codebase exploration, enabling deep code analysis, architectural reviews, and bug hunting.

MCP server that brings AI paper reading and code repository discovery from Hugging Face Papers into any MCP-compatible client.

Provides read-only tools to build English or Chinese video prompts, plan reference-aware sequences, diagnose prompts, and fetch canonical SeeVido resources without API keys.

Enables assistants to search, fetch daily curated lists, retrieve metadata, and generate citations for Hugging Face papers.

Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring.

Implements the Tree of Thoughts framework for structured reasoning and decision tree exploration, enabling LLMs to explore multiple reasoning paths, evaluate them, and backtrack.

An MCP server that provides real-time information access using Google Gemini's grounding capabilities, enabling search for current information, developer resources, documentation, and Reddit discussions.

Typed MCP server for Hugging Face LeRobot workflows. Provides a structured, auditable interface for LeRobot CLI, examples, datasets, and dataset conversion.