vassiliylakhonin/agenda-intelligence-md
by Various
Agenda Intelligence — product runtime + evidence-discipline layer for strategic intelligence agents. Four surfaces (MCP, HTTP, A2A, Cloudflare Worker) over one core service layer.
MCP
vassiliylakhonin/agenda-intelligence-md
Added 1 June 2026
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
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.
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
Pairs with
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