@unihodl/mcp-server
Hands a human's working browser session — tabs, scroll positions, video timestamps, and reasoning thread — to any MCP agent as a signed, scoped, revocable Resume Token. The resume tool lets Claude, Cursor, or any MCP client pick up exactly where the human left off instead of starting cold.
README
UNIHODL — Agent Handoff SDK & MCP Server
The handoff layer for the agentic web. Capture a human's working session — open tabs, scroll positions, video timestamps, and reasoning thread — and hand it to any AI agent as a signed, scoped, revocable Resume Token. Your agent picks up exactly where the human left off instead of starting cold.
This is the open-source SDK + MCP server + protocol spec. The browser extension, web app, and product live separately at unihodl.app.
# Zero-setup demo — no signup, sandbox key, real API:
npx -y @unihodl/mcp-server
# env: UNIHODL_API_KEY=uh_test_sandbox_demo_key_v0
# then ask your agent: resume ses_8f3aZ91b
What's here
| Package | What it is | Install |
|---|---|---|
@unihodl/mcp-server |
MCP server — gives Claude Desktop, Cursor, Cline, etc. a resume tool |
npx -y @unihodl/mcp-server |
@unihodl/agent-sdk |
TypeScript client — mint tokens, hydrate sessions | npm i @unihodl/agent-sdk |
unihodl-agent |
Python client | pip install unihodl-agent |
RFC.md |
The open Resume Token protocol spec | — |
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"unihodl": {
"command": "npx",
"args": ["-y", "@unihodl/mcp-server"],
"env": { "UNIHODL_API_KEY": "uh_test_sandbox_demo_key_v0" }
}
}
}
Restart Claude. The resume and list_sessions tools appear. Ask it to
resume ses_8f3aZ91b and it receives the human's conclusions, open blockers, and
intended next step — then continues the work.
Why it exists
Agent memory is well-funded, but it standardizes agent-generated memory. Nothing standardizes the human's live working context crossing into an agent — the 15 tabs, the half-formed decision, the thing you were about to do next. That handoff is the protocol. See RFC.md for the token design (EdDSA-signed, scope-filtered, TTL-capped, revocable, audited).
We're proposing Resume Tokens as an open standard — issues and PRs welcome. The goal is for every agent framework to accept a Resume Token, the way every framework now speaks MCP.
Get a live key
Free for 10,000 hydrations/month at unihodl.app/developers.
Verify your key against the live API: https://www.unihodl.app/.well-known/jwks.json.
License
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.