Agenda Intelligence MD

MCP serverDev tools

Your AI can check whether briefs, memos, and evidence packs are ready to be trusted before you share or act on them. This integration adds the ability to validate, audit, and score documents that depend on evidence, so weak spots surface before they cause problems.

Use Agenda Intelligence MD in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Agenda Intelligence MD and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the strategic risk triage tool from Agenda Intelligence MD

Details

Available today. Use it from your connected AI after setup.

After adding it, share a brief, memo, or evidence pack with your AI and ask it to check whether the evidence is ready. Start with a document you are about to send to someone else.

Agenda Intelligence MDStart free

What your AI can do with it

  • Validate briefs and memos before they go out
  • Audit evidence packs for gaps
  • Score how ready a document's evidence is
  • Check any brief, memo, or evidence pack on request

Install Agenda Intelligence MD

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user agenda-intelligence-md 'https://agendamcp.dpdns.org/mcp/agent'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://agendamcp.dpdns.org/mcp/agent

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=agenda-intelligence-md&config=eyJ1cmwiOiJodHRwczovL2FnZW5kYW1jcC5kcGRucy5vcmcvbWNwL2FnZW50In0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://agendamcp.dpdns.org/mcp/agent

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add agenda-intelligence-md --url 'https://agendamcp.dpdns.org/mcp/agent'

    Run it once, then sign in with codex mcp login agenda-intelligence-md if the server asks for an account.

From the project's README

As published by vassiliylakhonin/agenda-intelligence-md in README.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==1.16.0" 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

For a RAG answer with inline citations and retrieved chunk texts, use the Output Verification adapter. It assembles the packet locally and returns line-level findings and repair guidance:

.venv/bin/agenda-intelligence review-answer examples/output-verification/rag-answer.json
.venv/bin/agenda-intelligence review-answer examples/output-verification/rag-answer-revised.json --strict

The original fictional answer routes to revision; the corrected answer routes to human review. Both run without a wallet, model API key or network. A runnable LangGraph handoff shows a bounded repair loop. The adapter is included in version 1.15.0. To use your own answer without cloning this repository, follow the standalone quickstart.

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
Protected agent actionsInteraction Trust + Vizier gate
MCP pre-release checksMCP Integration Check CLI / Action
Agent checkout experimentsACP sandbox readiness check
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

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 for the code. The bundled official ACP schema retains its Apache-2.0 license and NOTICE.

Tools it offers (3)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • strategic_risk_triage
  • fleet_directory
  • corridor_bankability_screen

Signals

GitHub stars
8
Forks
1
Last commit
Sep 2026
Weekly downloads
229
Advanced
Delivery
agenda-intelligence-md MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-vassiliylakhonin-agenda-intelligence-md
Source
github.com/vassiliylakhonin/agenda-intelligence-md
Hosted endpoint
https://agendamcp.dpdns.org/mcp/agent