Pinata IPFS
by pinatacloud
Pinata IPFS enables secure storage, upload, and retrieval of files on decentralized networks with Pinata's IPFS API inte
What it does
Connects to Pinata's IPFS storage services to upload, manage, and retrieve files on decentralized networks. Supports both public and private IPFS networks with secure API authentication.
About
Pinata IPFS is an official MCP server published by pinatacloud that provides AI assistants with tools and capabilities via the Model Context Protocol. Pinata IPFS enables secure storage, upload, and retrieval of files on decentralized networks with Pinata's IPFS API inte It is categorized under file systems.
How to install
You can install Pinata IPFS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
Pinata IPFS is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Pinata IPFS MCP server?
- Pinata IPFS is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Pinata IPFS?
- This profile displays 33 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases
Code & Document Analysis
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Automated File Operations
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Content Search & Extraction
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.8★★★★★33 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Useful MCP listing: Pinata IPFS is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ganesh Mohane· Dec 24, 2024
Pinata IPFS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Omar Sethi· Dec 24, 2024
Pinata IPFS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Lucas Bansal· Dec 12, 2024
Pinata IPFS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yash Thakker· Nov 19, 2024
Pinata IPFS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Omar Yang· Nov 15, 2024
According to our notes, Pinata IPFS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Emma Iyer· Nov 3, 2024
Useful MCP listing: Pinata IPFS is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★William Srinivasan· Oct 22, 2024
We evaluated Pinata IPFS against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Dhruvi Jain· Oct 10, 2024
I recommend Pinata IPFS for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chinedu White· Oct 6, 2024
We wired Pinata IPFS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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