CCM
/MCP
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Skill index
  • MCP index
  • Marketplace index
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
vassiliylakhonin avatar

Agenda Intelligence

vassiliylakhonin/agenda-intelligence-md
4authSTDIOregistry active
Summary

If you're building AI agents that touch cross-border logistics, trade finance, or procurement workflows and need structured risk triage before human review, this is a trust-routing layer that takes evidence packs and returns auditable escalation decisions. It exposes three vertical workers over MCP: Middle Corridor deal risk gates for Kazakhstan routes, CIS secondary sanctions exposure checks, and agentic interaction trust scoring. Each worker validates evidence against schemas, flags gaps, and routes to allow, step up, escalate, or not-decision-ready outcomes without making factual determinations. Ships with HTTP API, A2A adapter, and Cloudflare Worker baselines, plus optional live retrieval against Watchman or OpenSanctions for sanctions screening. Good fit if you need reproducible geopolitical risk memos with source coverage audit trails baked in.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Granola, the best AI meeting recorder
Granola, the best AI meeting recorder
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
Block distraction from your iPhone for freeBlock distraction from your iPhone for free
Block distraction from your iPhone for free
Block distracting apps from your iPhone permanently without a 3rd party app. Free and open source.
Block now (100% free) →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Granola, the best AI meeting recorder
Granola, the best AI meeting recorder
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
Block distraction from your iPhone for freeBlock distraction from your iPhone for free
Block distraction from your iPhone for free
Block distracting apps from your iPhone permanently without a 3rd party app. Free and open source.
Block now (100% free) →

Agenda Intelligence MD

A deterministic evidence-packet linter for claim-backed AI output. Supply claims, source references, quotations, and source text; receive broken-reference, quote, number, lexical-support, and evidence-gap findings before human review.

Use it to make an AI answer's evidence trail inspectable in a local workflow, agent pipeline, or CI job. Packet completeness is not factual truth, source authenticity, or permission to act.

First run

Python 3.9 or later, from a checkout:

python3 -m venv .venv
.venv/bin/python -m pip install -e .
.venv/bin/agenda-intelligence check examples/evidence-packet/request.json
.venv/bin/agenda-intelligence check examples/evidence-packet/request.json --format json

For the versioned package, use python -m pip install "agenda-intelligence-md==1.14.0" instead of the editable install. The example commands above use files from this checkout.

The bundled synthetic packet reports packet_status=packet_complete and factuality=not_assessed. A stale or inaccurate source can still pass. Add --strict when packet findings should fail a CI step.

For document-based review, start with the local-file review guide and example manifest:

.venv/bin/agenda-intelligence review examples/evidence-review/manifest.json --format html

The evidence-packet contract

InputCheck
Claims and source IDsReferences resolve within the supplied packet
Declared quotesQuotations match the supplied source text
Claim wording and numbersDeterministic support heuristics, unmatched numbers, and negation checks
FindingsPacket status, evidence gaps, and reviewer actions

These checks use supplied text. They do not retrieve missing sources or establish semantic entailment. Lexical overlap can miss paraphrases and accept misleadingly similar wording. See request and response Schemas, evidence audit, and the factuality boundary.

Processed documents and tool results are data, never instructions. Before consequential action, record the goal, trusted evidence, unreliable evidence, assumptions, intended action, and stop/escalation conditions. Human review remains necessary.

Interfaces

InterfaceStart here
CLI and Python serviceQuickstart, check_evidence_packet in services.py
MCPMCP.md; launch agenda-intelligence-mcp from the installed environment
CI evidence lintingGitHub Action, with text, JSON, or SARIF output
Agent repair loopsIntegration guides
HTTP and A2AHTTP shell and A2A adapter

The core checker is deterministic, stateless, and usable without a model API key. Optional generation and document adapters have separate dependencies. Core packet checks do not persist inputs or fetch outside sources.

Compatibility profiles and adapters

The repository also retains its strategic-intelligence shell, regional references, domain profiles, and Cloudflare deployments. The worker guide explains profile-specific behaviour; deployment documentation describes the hosted implementation.

Hosted demos expose their maintained inputs through live agent cards. Their verdicts are review prompts, not clearance. Trace IDs are not attestations. Signed readiness receipts, where configured, bind a gate result to a request/action; they do not establish source truth or grant permission.

The Output Verification gate does not permit relay based on caller-declared evidence. Workflow operators must authenticate actors, record approvals, and enforce boundaries. Vizier provides a separate delegation-policy layer; loading this checker alone does not enforce it.

Hosted pricing and limits belong to each profile's maintained configuration. Payment interoperability remains experimental and is not certified for standard x402 clients. Hosted demos have no autonomous live source retrieval.

What this is / What this is not

This is an evidence contract, deterministic preflight, and reviewer-facing tooling. It does not certify factual accuracy, provide legal or financial clearance, authenticate another agent, or replace an operator's action controls.

Global Think Tank Analyst owns the general reasoning method. Central Asia & Caspian and Gulf & Middle East own regional depth. Vendored compatibility references here are derived copies.

Examples and Status

  • Runnable examples and Before / after.
  • EU AI Act example: a dated source-backed snapshot, requiring current-source checks before reuse.
  • Evaluation notes: tested behaviours and limitations.
  • AnalysisBank: inspectable stored analysis and retrieval examples.
  • Adoption record: the evidence for usage claims; demos and tests alone do not establish customer demand.

Implemented surfaces include packet schemas, the Python service, CLI checking, local-file review, and MCP. Hosted workers and optional agent/transaction examples require their own integration and operational review. Their presence does not establish production reliability or independently validated usefulness.

Documentation and development

Read AGENTS.md, source policy, security policy, and local checks before contributing. Contracts live under schemas/v1/; CHANGELOG.md records releases, and Roadmap records direction.

make ci

Run make verify-local when changing Worker, discovery, runtime, or validation-guard code. Packaged data mirrors must be updated with their canonical files when applicable.

MIT license.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Granola, the best AI meeting recorder
Granola, the best AI meeting recorder
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
Block distraction from your iPhone for freeBlock distraction from your iPhone for free
Block distraction from your iPhone for free
Block distracting apps from your iPhone permanently without a 3rd party app. Free and open source.
Block now (100% free) →

Configuration

ANTHROPIC_API_KEYsecret

Optional. When set together with the [llm] extra (pip install 'agenda-intelligence-md[llm]'), the `analyze` tool calls the Anthropic API directly and returns a schema-validated memo. Without this key, `analyze` returns the assembled system_prompt for the host model to complete.

AGENDA_INTELLIGENCE_MODEL

Optional. Anthropic model identifier used when ANTHROPIC_API_KEY is set. Defaults to a current Claude model.

AGENDA_INTELLIGENCE_MAX_TOKENS

Optional. Max tokens for the Anthropic call from `analyze`. Defaults to 4096.

Registryactive
Packageagenda-intelligence-md
TransportSTDIO
AuthRequired
UpdatedJun 1, 2026
View on GitHub