vassiliylakhonin/agenda-intelligence-md

Overview

Agenda Intelligence is a runtime and evidence-discipline layer for strategic intelligence agents. It offers four deployment surfaces (MCP, HTTP, A2A, Cloudflare Worker) backed by a single core service. It ships one pre-built vertical worker for Middle Corridor deal risk, with schema-validated I/O, evidence auditing, and geography routing, but lacks live retrieval and factual verification.

Best for

Best for
Developers building strategic intelligence agents that require evidence discipline and multi-surface deployment

Use cases

• Building strategic intelligence agents with structured I/O and evidence audit trails
• Deploying geo-routed risk assessment workers for supply chain corridors
• Integrating agent surfaces across MCP, HTTP, A2A, and Cloudflare Workers

How to use

Install

pip install "agenda-intelligence-md==1.3.0"

Tools exposed

• packet_complete
• source_review_required
• packet_incomplete

Tested with

Claude Code

Notes

Agenda Intelligence is a runtime and evidence-discipline layer for strategic intelligence agents. It offers four deployment surfaces (MCP, HTTP, A2A, Cloudflare Worker) backed by a single core service. It ships one pre-built vertical worker for Middle Corridor deal risk, with schema-validated I/O, evidence auditing, and geography routing, but lacks live retrieval and factual verification.

4 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Building strategic intelligence agents with structured I/O and evidence audit trails
• Deploying geo-routed risk assessment workers for supply chain corridors
• Integrating agent surfaces across MCP, HTTP, A2A, and Cloudflare Workers

Pros

• Multiple deployment surfaces provide flexibility for different integration contexts
• Schema-validated I/O and evidence audit enforce discipline in agent outputs
• Pre-built worker addresses a specific geopolitical risk scenario

Cons

• No live retrieval or factual verification limits real-time accuracy
• Only one vertical worker shipped, requiring custom development for other domains
• Small community (4 stars) indicates limited adoption and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.