A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API
Nothing to run from here
AGL Agency Capacity is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
7
tools declared
—
trust score
remote
at its publisher
—
calls last 7d
What it does
Agency capacity math, benchmarks, client context templates and an AI approval checklist.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agl-agency-capacity-mcp https://connect.agilegrowthlabs.com/capacity
# 2 — ask your agent for something these tools do
# capacity_check, rebrief_tax, capacity_benchmarks and 4 more
AGL Agency Capacity costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
AGAll 1 server
agilegrowthlabs1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http agl-agency-capacity-mcp https://connect.agilegrowthlabs.com/capacityReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
7 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Estimates an agency's accounts per account manager, yearly coordination cost, and how many more accounts the same team could carry at a target ratio. Use when the user shares client and team numbers and asks about capacity, hiring, or account manager load. Returns an estimate, not a guarantee.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| active_clients | integer | yes | Active client accounts. |
| account_managers | integer | yes | People who own client accounts day to day. |
| avg_monthly_retainer | number | no | Average monthly retainer per client in USD. Optional. |
| hours_lost_per_am_per_week | number | no | Hours each account manager loses per week to re-briefing AI, chasing approvals, fixing work and reporting. Optional. |
| loaded_hourly_cost | number | no | Loaded hourly cost of an account manager in USD. Optional. |
| gross_margin_pct | number | no | Gross margin percent. Optional. |
| target_accounts_per_am | number | no | Target accounts per account manager. Default 18. |
Estimates the monthly hours and cost a team spends explaining clients to AI tools before they do useful work. Use when the user asks what re-briefing AI or re-pasting client context costs.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| minutes_per_rebrief | number | yes | Minutes spent loading client context into a new AI chat. |
| rebriefs_per_account_per_week | number | yes | New AI chats per account per person each week. |
| accounts_per_person | number | yes | Accounts each person works on. |
| people | integer | yes | People who use AI on client work. |
| hourly_cost | number | no | Loaded hourly cost in USD. Optional. |
Returns published benchmarks on accounts per account manager, time spent re-briefing AI, and rework of AI output, each with its source link. Use when the user asks what is normal for agencies.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topic | string | no | Which benchmarks to return. |
Returns a fill-in template for a 1-file client context document (goals, voice, claims rules, priorities, approvals, decisions) for a service line. Use when the user wants AI tools or new teammates to stop needing a client re-brief.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| service_line | string | no | general, seo, paid_media, content, lifecycle, or automation. Default general. |
| client_name | string | no | Optional client name to put in the title. |
Returns an 8-check review list for AI-drafted client work, plus checks for the service line and how much review each risk level needs. Use when the user asks how to QA AI output before it reaches a client.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| service_line | string | no | general, seo, paid_media, content, lifecycle, or automation. Default general. |
Defines an agency AI operations term, such as Portable Delivery Intelligence, accounts per person, re-brief tax, or AI operations sprawl. Leave term empty to list all terms.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| term | string | no | The term to define. Optional. |
Adds 1 anonymous response to the Agency Capacity Benchmark run by Agile Growth Labs. Only call when the user explicitly agrees to share their numbers. Stores no name, email, or company. Max 3 per day per network.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| consent | boolean | yes | Must be true. The user agreed to add anonymous numbers. |
| role | string | yes | — |
| revenue_band | string | yes | — |
| active_clients | integer | yes | — |
| account_managers | integer | yes | — |
| rebrief_hours_per_week | number | yes | Team hours per week spent re-briefing AI tools. |
| ai_tools_count | integer | yes | AI tools used in client work. |
| bottleneck | string | yes | The biggest delivery bottleneck. |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install AGL Agency Capacity or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish AGL Agency Capacity can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.