MCP Server: IPFS Context
[!WARNING]
Information is stored publically on IPFS network. Do not store sensitive information.
An MCP that uses IPFS to store and retrieve context between sessions.
Features
- Easy-to-use tools for persisting and retrieving conversational context.
- Customizable prompts for efficient workflow integration.
- Support for structured content including Mermaid diagrams, code snippets, and tasks.
Tools
Usage:
Tools are automatcally called by the LLM prompts. You do not need to call them directly.
leave_off
Usage:
- Automatically called via MCP prompts with the required
contextparameter.
Stores the current conversation context and returns a unique identifier (id) for later retrieval.
pick_up
Retrieves previously stored context using the unique identifier obtained from leave_off.
Usage:
- Automatically called via MCP prompts with the required
idparameter.
Prompts
Customize your conversational workflows easily using prompts.
In Claude Desktop, activate by clicking "Attach to MCP", then select your desired prompt from the "Choose an integration" menu.
💾 Save
Summarizes the current conversation and utilizes the leave_off tool to store the context.
Optional Parameters:
projectType: Define the project type. Available options:general(default)technicalcreativeproblem-solving
includeMermaid: Include Mermaid diagrams (yesorno, default:no)includeCode: Include code snippets (yesorno, default:no)includeTasks: Include task lists (yesorno, default:no)
📂 Continue
Loads previously saved conversation context using the pick_up tool.
Required Parameter:
id: Unique identifier generated by theleave_offtool.
📂 Resume
Loads most recently saved convesation context.
Installation
Prerequisites
- Node.js
- MCP-compatible client (e.g., Claude Desktop)
Setup
Integrate into your MCP client configuration:
Using NPX:
{
"mcpServers": {
"vimble-mcp": {
"command": "npx",
"args": ["-y", "mcp-server-ipfs-context", "<path-to-context-storage>"]
}
}
}
Local Development:
{
"mcpServers": {
"vimble-mcp": {
"command": "<path-to-node>",
"args": [
"<this-directory>/stdio.mjs",
"<ipfs-gateway-url>",
"<ipfs-gateway-url>"
]
}
}
}
License
MIT
Recommend MCP Servers 💡
@professional-wiki/mediawiki-mcp-server
An MCP server that enables Large Language Model (LLM) clients to interact with any MediaWiki wiki.
@arizeai/phoenix-mcp
Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of LLM applications. Its MCP server provides a unified interface to Phoenix's capabilities, enabling tracing, evaluation, and prompt management.
druid-mcp-server
A comprehensive MCP server for Apache Druid with tools, resources, and AI prompts for cluster management and analysis.
tandoor-mcp-server
An MCP server that enables interaction with Tandoor Recipe Manager for managing recipes, meal plans, and shopping lists.
windows-rs-mcp
MCP server for searching Rust windows crate API documentation
mcp-python-interpreter
A Model Context Protocol (MCP) server that allows LLMs to interact with Python environments, execute Python code, manage packages, and perform file operations.