markovian-mcp
Bitcoin-anchored provenance for AI outputs; enables stamping, verifying, and tracing outputs with offline-verifiable canonical roots.
README
markovian-mcp
Bitcoin-anchored, independently verifiable provenance for AI outputs, exposed as MCP tools.
Trust the emitter? No. Prove the emitter. Commit an output to a canonical root, verify it later by pure recomputation, and trace its lineage. No operator to trust; verification is offline.
Tools
markovian_stamp(content)— compute the canonical commitment root for an output. JSON is canonicalized with RFC 8785 (JCS), other text verbatim, then SHA-256 hashed. This root is what Markovian anchors to Bitcoin.markovian_verify(content, canonical_root)— recompute the root and check it. One changed byte fails the check.markovian_trace(receipts_json)— walk a lineage of stamps back to its origin.
Install
pip install markovian-mcp
Configure (Claude Desktop / Cursor / Claude Code)
{
"mcpServers": {
"markovian": {
"command": "markovian-mcp"
}
}
}
Verify offline
markovian_stamp and markovian_verify are pure functions. Anyone can recompute a root over the same bytes and get the same answer, with nothing trusted from us. Learn more at markovianprotocol.com.
Apache-2.0.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.