Building on HF

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shaun smith PRO

evalstate

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upvoted a changelog about 1 hour ago

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updated a Space about 1 hour ago

evalstate/hf-hub-query

updated a dataset about 17 hours ago

evalstate/mcp-clients

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posted an update about 1 month ago

Post

3598

Hugging Face MCP Server v0.3.2
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- Replace model_search and dataset_search with combined hub_repo_search tool.
- Less distracting description for hf_doc_search
- model_search and dataset_search tool calls will still function (plan to remove next release).

4 replies

posted an update about 2 months ago

Post

303

Hugging Face MCP Server v0.3.1
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Streamable HTTP used for Gradio Connectivity
- SSE Transport (as Server) removed
- Proxy Configuration added for launch of sub-agent tools

reactedto Nymbo's post with 🚀 4 months ago

Post

5280

🚀 I've just shipped a major update to the Nymbo/Tools MCP server: the Agent_Terminal, a single "master tool" that cuts token usage by over 90%!

Anthropic found 98.7% context savings using code execution with MCP, Cloudflare published similar findings. This is my open-source implementation of the same idea.

# The Problem

Traditional MCP exposes every tool definition directly to the model. With 12 tools, that's thousands of tokens consumed *before the conversation even starts*. Each tool call also passes intermediate results through the context window — a 10,000-row spreadsheet? That's all going into context just to sum a column.

# The Solution: One Tool to Rule Them All

Agent_Terminal wraps all 12 tools (Web_Search, Web_Fetch, File_System, Generate_Image, Generate_Speech, Generate_Video, Deep_Research, Memory_Manager, Obsidian_Vault, Shell_Command, Code_Interpreter) into a single Python code execution gateway.

Instead of the model making individual tool calls, it writes Python code that orchestrates the tools directly:

# Search for Bitcoin price
result = Web_Search("current price of bitcoin", max_results=3)
print(result)

Don't know what tools are available? The agent can discover them at runtime:

print(search_tools('image'))  # Find tools by keyword
print(usage('Generate_Image'))  # Get full docs for a specific tool

The individual direct tool calls are all still there, but they can be disabled if using the Agent_Terminal. Try it now - https://www.nymbo.net/nymbot

1 reply

posted an update 4 months ago

Post

2549

Hugging Face MCP Server v0.2.46
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Add "discover" to Dynamic Space tool. Recommend deselecting "space_search" if using dynamic spaces.

posted an update 4 months ago

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3034

Hugging Face MCP Server v0.2.45
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- New! Experimental dynamic_space tool.
- Default Image Generator changed to Qwen-Image-Fast

posted an update 5 months ago

Post

2268

Hugging Face MCP Server v0.2.40
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Improved progressive disclosure and descriptions for Jobs tool.

posted an update 5 months ago

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373

Hugging Face MCP Server v0.2.35
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$HF_TOKEN is expanded in Jobs Secrets environment variables.

posted an update 5 months ago

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363

Hugging Face MCP Server v0.2.33
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Allow discovery of Product Documentation Library via the Search tool.

posted an update 5 months ago

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274

Hugging Face MCP Server v0.2.31
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- OpenAI Apps SDK Support for Gradio Content Generation spaces

posted an update 6 months ago

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355

Hugging Face MCP Server v0.2.29
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- Document Fetch tool now returns markdown direct from HF Docs rather than processed.
- Relative URLs accepted for Fetch

reactedto jsulz's post with 🚀 8 months ago

Post

3824

We've crossed 1 million repositories backed by Xet storage on Hugging Face! 🚀🚀🚀

You can follow along our progress converting the Hub from Git LFS to Xet at jsulz/ready-xet-go

We have a lot of repos left to migrate, which means I have plenty of time to add more animations 🤪

reactedto Wauplin's post with 🔥 8 months ago

Post

3470

Say hello to hf: a faster, friendlier Hugging Face CLI ✨

We are glad to announce a long-awaited quality-of-life improvement: the Hugging Face CLI has been officially renamed from huggingface-cli to hf!

So... why this change?

Typing huggingface-cli constantly gets old fast. More importantly, the CLI’s command structure became messy as new features were added over time (upload, download, cache management, repo management, etc.). Renaming the CLI is a chance to reorganize commands into a clearer, more consistent format.

We decided not to reinvent the wheel and instead follow a well-known CLI pattern: hf <resource> <action>. Isn't hf auth login easier to type and remember?

The full rationale, implementation details, and migration notes are in the blog post: https://huggingface.co/blog/hf-cli

6 replies

repliedto Nymbo's post 9 months ago

Hi @Nymbo -- it looks like you are using the Remote Integration in claude.ai.

At the moment, the Remote Integration neither supports the latest MCP Authentication specification, nor give you a way to provide an HF_TOKEN - which means you are seeing the Anonymous defaults in claude.ai.

To get the full experience in Claude you will need to use the Desktop client, and follow the instructions on the https://huggingface.co/settings/mcp page.

Sorry for the trouble this has caused you; we look forward to claude.ai supporting the latest OAuth spec too!

reactedto davanstrien's post with 👍 10 months ago

Post

3717

Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.

Key capabilities:

- AI-powered semantic search for models and datasets
- Parameter count analysis via safetensors metadata
- Trending content discovery
- Find similar models/datasets functionality
- 11 tools total for enhanced ecosystem navigation

The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.

Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!)

https://github.com/davanstrien/hub-semantic-search-mcp

1 reply

reactedto DawnC's post with 👍 over 1 year ago

Post

1580

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DawnC/PawMatchAI

🎯 Your support matters!
Every like 👍 or comment 📝 motivates me as I continue my journey toward mastering AI. Let’s make learning fun and impactful together!

shaun smith PRO

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