agentlinkops

MCP serverCommunication

Backlink monitoring with dated fetch evidence; checks and change events continue after the chat.

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

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use agentlinkops

From the project's README

As published by sunlover7/agentlinkops-cli in README.md.

A backlink ledger that lives in your repository. agentlinkops check fetches a source page, looks for the link you declared and records an observation with the HTTP status, redirect chain, robots posture and a SHA-256 of the fetched bytes. Page HTML never enters the repository. A check that cannot conclude says unknown with a named reason, and unknown never means the link was removed.

The CLI imports the same verifier module the hosted AgentLinkOps service runs, and its tests assert both paths return the same shape. The hosted checks, evidence store and MCP server are a separate service; this package is the local half and needs no account.

Give your agent AgentLinkOps

Four steps, the same ones the docs and the landing page show. Node.js 22.13 or later.

  1. Install the skill. Detects the agent clients on this machine (Claude Code, Codex, Cursor, Gemini CLI, Hermes), installs the skill pack at each one's skills path and writes its MCP entry; stores no credential and prints what it changed.

    npx -y agentlinkops agent setup
    

    With the skills CLI instead: npx -y skills add https://agentlinkops.com, then add https://app.agentlinkops.com/mcp as a remote HTTP MCP server in your client.

  2. Sign in when your agent asks. The client opens the AgentLinkOps sign-in; you pick the account, workspace and scopes. Nothing is pasted into a chat.

  3. Verify. Ask your agent to list your AgentLinkOps projects, or run agentlinkops doctor.

  4. Check a placement. Ask: "check whether [publisher page] links to [my page], show the dated observation and any uncertainty." No account yet? The same verifier runs locally:

    npx -y agentlinkops check --source https://publisher.example/resources --target https://your-site.example/guide
    

The skill is a short door: the first time your agent uses AgentLinkOps in a session it reads the full agent reference, which agentlinkops skill prints and https://agentlinkops.com/SKILL.md serves. Hosted monitoring is an invitation-only pilot; the local commands below need no account. The package is agentlinkops on npm, published by the agentlinkops account; the source is https://github.com/sunlover7/agentlinkops-cli.

Install the CLI on its own

npm install -g agentlinkops
agentlinkops --help

Or run it once without installing:

npx agentlinkops check

Check one link with no account

cd your-repository
agentlinkops init
agentlinkops add --source https://publisher.example.com/resources --target https://example.com/guide --intent expected
agentlinkops check
agentlinkops status

init creates .agentlinkops/ with an empty ledger. add writes one entry. check fetches the source page and appends an observation to the mirror. status names every entry whose observations disagree with its intent and proposes the edit; applying it is a commit you make.

Exit codes: 0 when every expected link is present, 1 only when an expected link is observed absent with complete evidence, 2 for a usage, configuration or ledger error. An unknown never fails the run. Pass --fail-on-unknown when your CI wants it to.

agentlinkops doctor verifies the ledger, the verifier self-test, cloud reachability and the token, and prints a fix line for anything that fails.

The ledger

Intent and fact never share a file. You write intent; the verifier writes fact.

.agentlinkops/
  config.json          project identity, cloud origin, defaults. Yours, committed
  links.jsonl          the ledger: intent. Yours, committed
  observations.jsonl   fact mirror, tool-owned, committed
  events.jsonl         cloud event mirror by cursor, tool-owned, committed
  candidates.jsonl     imported and discovered rows, tool-owned, committed
  state.json           cursors and last-check marks, tool-owned, committed

One ledger entry:

{"id":"lk_9f3ac1","intent":"expected","source":"https://publisher.example.com/resources","target":"https://example.com/guide","scope":"exact","expect":{"anchor":"guide","rel":["nofollow"]},"cadence":"daily","ref":"q3-resource-pages/441","tags":["resource-page"],"added":"2026-09-11","note":"editor confirmed"}

Three intents: wanted (we want this publisher to link to us; present is the news), expected (it should be there now; absent is the alarm) and retired (stop checking, keep the history). Nothing promotes an entry automatically. id is random and permanent, so a corrected URL keeps its history. Everything is plain JSON Lines, one entry per line, that you can read without this tool.

Imports and adoption

Supplier exports import through presets or an explicit column map, and a preview writes nothing:

agentlinkops import ahrefs-export.csv --target example.com --from ahrefs
agentlinkops import any-export.csv --target example.com --map "source=Referring page URL,target=Target URL"

Presets: Ahrefs, Semrush, Majestic, Moz, DataForSEO, Linkody, Google Search Console and generic CSV. A preset is a convenience over --map, never a requirement. Every rejected row is reported with its line and reason. Count-per-site Search Console exports are refused, because importing them would invent placements.

An existing SQLite CRM (the reference adapter in scripts/agentlinkops.py) adopts into ledger entries read-only with agentlinkops adopt crm.sqlite; there is no reverse direction.

One page can be checked without a ledger or an account: agentlinkops check --source URL --target URL [--scope exact] [--json] [--out result.json] runs the same verifier and prints one result. --out reserves the file before the fetch and refuses to overwrite. A saved result later joins a ledger with agentlinkops adopt-result result.json [--intent wanted|expected], which validates the artifact (no raw HTML, a checksum that must match, a state consistent with its evidence) and appends the entry and observation once under a writer lock.

Sync with the hosted service

Local commands need no account. Sync pushes expectations and pulls events and evidence references into the mirror. It never writes into links.jsonl.

export AGENTLINKOPS_TOKEN=...   # from Agent access > Create API key in the hosted workspace
agentlinkops connect --workspace WORKSPACE_ID --project-id PROJECT_ID --origin https://app.agentlinkops.com
agentlinkops sync --dry-run
agentlinkops sync

Hosted access is an invitation-only pilot. The hosted checks, evidence store and MCP server are a separate service and are not part of this package.

Citation watches

An AI citation is a placement: a reference to your asset on a surface you do not control, re-decided by the model on every ask. So the CLI watches it the way it watches a link — a prompt panel, run against engine APIs on cadence, with dated evidence and honest statistics. A citation is never reported as "removed": each epoch states the citation rate with a Wilson interval and its sample size, classified against the previous epoch as declined, grown or not_distinguishable, or insufficient_data when n is too thin to interpret.

export PERPLEXITY_API_KEY=...          # live engine; omit it and the mock engine runs at $0
agentlinkops citation run panel.json --max-usd 1.00

The panel is JSON: targets (domain or url, brand, aliases), prompts, engines (mock or perplexity), optional samples and maxUsd. Every run writes immutable content-addressed answer snapshots plus append-only observation and epoch rows under .agentlinkops/citations/. The USD cap is checked before each call, so it can be approached but never exceeded, and a budget abort leaves a partial-epoch receipt and exit code 2. A cell that declined with complete evidence exits 1, like an expected link observed absent.

Environment variables

VariablePurpose
AGENTLINKOPS_TOKEN or AGENTLINKOPS_API_KEYScoped credential for connect, sync, tools, call and the token probe in doctor. If both are set they must agree.
AGENTLINKOPS_API_URLHosted origin when it is not in config.json.
AGENTLINKOPS_WEBHOOK_SECRETVerifies signed deliveries in agentlinkops receive.
AGENTLINKOPS_GSC_TOKEN, AGENTLINKOPS_GA4_TOKENFirst-party context commands under agentlinkops context.
PERPLEXITY_API_KEYLive engine credential for agentlinkops citation. Presence is reported by doctor; the value is never printed.

No value is ever printed. The LINKTRAIL_* spellings, the linktrail command and a .linktrail/ ledger directory are still accepted with a one-line notice on stderr until 2026-10-15; run agentlinkops migrate once to rename the directory. It refuses to merge or delete anything.

Agent plugin

The package doubles as a plugin: .claude-plugin/plugin.json and .codex-plugin/plugin.json point at skills/, which holds the connect, CRM, campaign and asset skills plus the content-pipeline skills, with templates in templates/ and contracts in references/. agentlinkops agent setup installs the same skills for any detected client, and the discovery index at https://agentlinkops.com/.well-known/agent-skills/index.json serves them to npx skills add (the content pipeline sits behind https://agentlinkops.com/content). Node.js runs the ledger CLI; Python 3.10 or later runs the optional CRM helper and the watermark scanner.

What it does not do

It holds no backlink index, sends no email, verifies no contact address and runs no JavaScript: observations are static HTML only, and each one says so. Literal IP addresses, reserved hostnames and non-default ports are refused before any fetch.

Documentation and source

License

Apache License 2.0. See LICENSE and NOTICE.

Advanced
Delivery
agentlinkops MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
com-agentlinkops-agentlinkops
Source
github.com/sunlover7/agentlinkops-cli
Hosted endpoint
https://app.agentlinkops.com/mcp