Marketing

fractionalteams.com

An MCP server that provides API key-scoped access to published marketing reports and their sections, including SEO, AEO, GEO, SMM, outreach, paid media, and planning content.

1 endpoint11 known toolsFirst detected September 10, 2026Last detected September 10, 2026

ENDPOINT 1

https://portal.fractionalteams.com/mcp

No auth detected

MCP server metadata

Name: fractionalteams-portal
Version: 1.0.0

Capabilities

tools.listChanged

Known tools 11

get_me

Who this API key belongs to: the client (customer), the user, their report-section scopes ("*" = full access, else a list from: seo, aeo, geo, smm, outreach, paid_media, plan), whether the key can mark outreach leads, and any own-leads-only restriction.

Inferred read-only

list_reports

List the published reports this key may see, newest first.

Inferred read-only

get_report

Metadata for one published report by id: title, dates, and the sections visible to this key.

Inferred read-only

get_report_html

The full HTML of one published report, filtered to the sections (and, if restricted, the LinkedIn-DM lead owners) this key may see.

Inferred read-only

get_report_section

One section of a published report as HTML fragments.

Inferred read-only

get_lead_status

Current outreach lead-status flags (which LinkedIn-DM leads have been marked as "replied outside LinkedIn").

Inferred read-only

get_recent_leads

The structured window of recent outreach leads (activity in the ~30 days before the latest report): per lead, the conversation summary, last message (who/when/text), LinkedIn profile link, owning salesperson, and current status.

Potential side effects

mark_lead_replied_outside

Mark an outreach lead as having replied outside LinkedIn (by email or phone), so future reports stop flagging it as awaiting a reply.

Potential side effects

unmark_lead

Undo a replied-outside-LinkedIn mark, returning the lead to "awaiting reply".

Inferred read-only

get_agent_readiness

The latest Fractional Teams agent-readiness scan of each of this client's domains: our 0–100 score with grade, the Find / Read / Act layer breakdown, the ranked fix list with estimated gain, and a separate conformance reading checked against the AgentReady standard v1.

Inferred read-only

get_agent_readiness_scan

One agent-readiness scan in full: the summary plus every check with its status, points, finding, recommendation and evidence (URLs fetched, statuses, short snippets of the client's own pages).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.fractionalteams-portal]
url = "https://portal.fractionalteams.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "fractionalteams-portal": {
      "type": "http",
      "url": "https://portal.fractionalteams.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: fractionalteams-portal
Remote MCP URL: https://portal.fractionalteams.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "fractionalteams-portal": {
      "url": "https://portal.fractionalteams.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "fractionalteams-portal": {
      "type": "http",
      "url": "https://portal.fractionalteams.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "fractionalteams-portal",
  "transport": "streamable-http",
  "url": "https://portal.fractionalteams.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.