Post
763
The experimental MCP
hub_query tool now supports Paper Searching and Details as well as Daily Papers. shaun smith PRO
evalstate
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Recent Activity
updated a dataset about 5 hours ago
evalstate/mcp-clients updated a Space about 16 hours ago
evalstate/transformers-dashboard updated a dataset about 18 hours ago
evalstate/transformers-prOrganizations
posted an update 2 days ago
posted an update about 2 months ago
Post
3699
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).
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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 2 months ago
Post
317
Hugging Face MCP Server v0.3.1
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- Streamable HTTP used for Gradio Connectivity
- SSE Transport (as Server) removed
- Proxy Configuration added for launch of sub-agent tools
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- 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 🚀 5 months ago
Post
5290
🚀 I've just shipped a major update to the Nymbo/Tools MCP server: the
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
Instead of the model making individual tool calls, it writes Python code that orchestrates the tools directly:
Don't know what tools are available? The agent can discover them at runtime:
The individual direct tool calls are all still there, but they can be disabled if using 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 toolThe 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 5 months ago
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2555
Hugging Face MCP Server v0.2.46
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- Add "discover" to Dynamic Space tool. Recommend deselecting "space_search" if using dynamic spaces.
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- Add "discover" to Dynamic Space tool. Recommend deselecting "space_search" if using dynamic spaces.
posted an update 5 months ago
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3038
Hugging Face MCP Server v0.2.45
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- New! Experimental dynamic_space tool.
- Default Image Generator changed to Qwen-Image-Fast
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- New! Experimental dynamic_space tool.
- Default Image Generator changed to Qwen-Image-Fast
posted an update 5 months ago
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Hugging Face MCP Server v0.2.40
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Improved progressive disclosure and descriptions for Jobs tool.
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Improved progressive disclosure and descriptions for Jobs tool.
posted an update 6 months ago
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374
Hugging Face MCP Server v0.2.35
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$HF_TOKEN is expanded in Jobs Secrets environment variables.
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$HF_TOKEN is expanded in Jobs Secrets environment variables.
posted an update 6 months ago
Post
365
Hugging Face MCP Server v0.2.33
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Allow discovery of Product Documentation Library via the Search tool.
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Allow discovery of Product Documentation Library via the Search tool.
posted an update 6 months ago
Post
275
Hugging Face MCP Server v0.2.31
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- OpenAI Apps SDK Support for Gradio Content Generation spaces
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- 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
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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
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3829
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 🤪
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 🔥 9 months ago
Post
3521
Say hello to
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
The full rationale, implementation details, and migration notes are in the blog post: https://huggingface.co/blog/hf-cli
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
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
3727
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
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
💡 Curious about dog breeds? 🐕 Meet PawMatchAI!
I’ve created this fun and interactive project to help you recognize dog breeds, find the perfect pup for your lifestyle, and even compare different breeds! 🐾
🌟 Why not give it a try?
Whether you’re a dog lover or just curious, PawMatchAI is here to make discovering breeds easier and more enjoyable.
🔎 Got feedback?
While it’s not flawless, your input can help make it better. I’d love to hear your thoughts as I keep improving the project!
👉 Explore now:
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!
I’ve created this fun and interactive project to help you recognize dog breeds, find the perfect pup for your lifestyle, and even compare different breeds! 🐾
🌟 Why not give it a try?
Whether you’re a dog lover or just curious, PawMatchAI is here to make discovering breeds easier and more enjoyable.
🔎 Got feedback?
While it’s not flawless, your input can help make it better. I’d love to hear your thoughts as I keep improving the project!
👉 Explore now:
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!