Cortensor MCP

An MCP server that plugs Claude, Cursor, and other AI assistants directly into Cortensor's decentralized inference network. Session persistence, task orchestration, and validation tools included.

Why Cortensor MCP?

The Problem

AI agents lack:

Persistent memory across conversations
Access to decentralized inference networks
Structured task orchestration tools
Built-in validation and consistency checking

Our Solution

Cortensor MCP provides a unified interface that:

Persists session memory using Cloudflare Durable Objects
Connects AI assistants to Cortensor's decentralized network
Orchestrates tasks with structured routing (analyze, summarize, extract, generate, validate, decide, plan)
Validates outputs against rubrics and checks for logical consistency

Result: AI agents gain persistent memory, decentralized inference capabilities, and powerful validation tools—all through a single MCP server.

Creating a Persistent Session

Create a new session for my research project with initial context about blockchain analysis

Routing Tasks to Cortensor

Analyze this smart contract code and identify potential security issues

Validating Content Against a Rubric

Validate this documentation against criteria: clarity, completeness, and accuracy

Features

Tool	Description
session_create	Create or retrieve an agent session with persistent memory
session_remember	Store information in session memory for later recall
session_recall	Retrieve stored information from a session
task_route	Route structured tasks to Cortensor with output formatting
validate_rubric	Validate content against a weighted scoring rubric
validate_consistency	Check content for contradictions and logical issues
research_analyze	Analyze code, docs, or issues and extract actionable items
research_summarize	Generate digest, changelog, or status reports from multiple items
cortensor_status	Check Cortensor network connectivity and latency
cortensor_infer	Direct inference request to Cortensor network

Setup Guide

1. Clone and Install

git clone https://github.com/SuReaper/cortensor-mcp.git
cd cortensor-mcp
npm install

2. Run Locally or Deploy

# Local development
npx wrangler dev

# Production deployment
npx wrangler deploy

MCP Configuration

Add to your MCP settings (Roo Code / Cline / Claude Desktop):

{
  "mcpServers": {
    "cortensor": {
      "type": "sse",
      "url": "https://your-worker.workers.dev/sse",
      "alwaysAllow": [
        "session_create",
        "session_remember",
        "session_recall",
        "task_route",
        "validate_rubric",
        "validate_consistency",
        "research_analyze",
        "research_summarize",
        "cortensor_status",
        "cortensor_infer"
      ],
      "timeout": 300
    }
  }
}

Task Types

Type	Behavior
`analyze`	Identify patterns and insights
`summarize`	Concise summary, preserve key info
`extract`	Extract data points and entities
`generate`	Generate content from requirements
`validate`	Check correctness, flag issues
`decide`	Reasoned decision with explanation
`plan`	Actionable steps with priorities

cortensor-mcp