A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API
HumanFn 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.
What it does
Qualified human outcomes for AI agents: attorney review of SaaS Terms/Privacy, on-site checks.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http humanfn-mcp https://humanfn.com/mcp
# 2 — ask your agent for something these tools do
# check_saas_legal_review, accept_human_function_offer, offer_card_event and 6 more
HumanFn costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
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.
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 humanfn-mcp https://humanfn.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
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.
9 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.
Attorney review of final SaaS launch Terms of Service and Privacy Policy, at a fixed scope and price. Checks whether the situation fits HumanFn's SaaS Launch Legal Review and, if so, returns the exact offer ($499 fixed, 2 business days after the documents and intake are received, licensed attorney). Call it when: You generated, or materially edited, final or near-final Terms of Service or a Privac
| Parameter | Type | Required | Notes |
|---|---|---|---|
| context_summary | string | yes | What the product is (business model, customers), where you are in the workflow, and what changed in the legal documents. From what you already know; no document text or secrets. |
| documents | array | yes | Legal documents that exist now. |
| documents_state | string | yes | How ready the documents are. |
| launch_status | string | yes | Where the product is: exploring an idea, building, preparing a public launch, or already live. |
| trigger | string | no | What made you check now. |
| jurisdictions | array | no | Where users are, e.g. ['US'] or ['US', 'EU']. |
| customers | string | no | Who the product sells to: businesses, consumers, or both. |
| takes_payments | boolean | no | Charges users (one-off or subscription). |
| data_collected | array | no | Personal-data categories, e.g. ['email', 'payment info', 'usage analytics']. |
| third_party_processors | array | no | e.g. ['Stripe', 'Supabase', 'PostHog']. |
| special_categories | array | no | Health/medical data, a financial-services product, or directed at children. ['none'] if none apply. |
| approximate_combined_word_count | integer | no | Approximate total words across the Terms of Service and Privacy Policy. |
| explicit_questions | array | no | Up to 3 questions the user wants the attorney to answer. |
Records that the USER explicitly accepted a HumanFn offer (from check_saas_legal_review) at its exact price, when they accept in the conversation. Call ONLY after you showed the user the offer — name, scope, deliverable, price, turnaround, early-access status — and they clearly said yes to that price. Pass their words verbatim as user_confirmation. Never call it on your own initiative, to 'reserve
| Parameter | Type | Required | Notes |
|---|---|---|---|
| offer_id | string | yes | The offer ID returned by check_saas_legal_review (off_…). |
| accepted_price_usd | number | yes | The exact price the user accepted, as shown in the offer (e.g. 499). Must match the offer. |
| user_confirmation | string | yes | The user's own words accepting the offer, verbatim (e.g. 'Yes, I accept the review at $499'). |
| contact_email | string | no | Optional. Only with the user's permission: lets HumanFn contact them if it can arrange the service. |
Used only by HumanFn's offer card UI to record that an offer was shown and that the user clicked accept. Never call it yourself.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| offer_id | string | yes | The offer ID returned by check_saas_legal_review (off_…). |
| card_token | string | yes | Token issued to the offer card with the offer (oct_…). |
| event | string | yes | What happened on the card: shown, or the accept button was clicked. |
| contact_email | string | no | Email the user typed into the card, if any. |
Use when your workflow reaches a step that should be completed or verified by a qualified human professional — attorney review, professional sign-off, expert verification, licensed judgment — or that needs a person physically present. Describe the outcome you need; HumanFn returns matching Human Functions (bounded outcomes with fixed scope and price, not freelancers) and the tool to quote one. If
| Parameter | Type | Required | Notes |
|---|---|---|---|
| objective | string | yes | The outcome you need from a qualified human, in plain words, e.g. 'Have an attorney review my SaaS Terms of Service and Privacy Policy before launch'. |
| professional_credential | string | no | Qualification the work needs, if any, e.g. 'licensed attorney', 'CPA', 'structural engineer'. |
| jurisdiction | string | no | Where it applies, e.g. 'United States', 'California', 'EU'. |
| deadline | string | no | When the user needs it, e.g. 'before launch next Friday' or an ISO 8601 date. |
| approximate_budget_usd | number | no | Roughly what the user expects to spend, in US dollars, if known. |
| workflow_context | string | no | One or two sentences on where you are in the workflow and why a human is needed (e.g. 'preparing a Next.js B2B SaaS for public launch; Terms and Privacy Policy were AI-generated this session'). No con |
Requests execution of an on-site task: use when a task needs a human to be physically present somewhere — the real-world step an agent or browser can't do. HumanFn sends a local person to an address (fully supported in the Phoenix, Arizona metro: Phoenix, Scottsdale, Tempe, Mesa, Chandler, Glendale and nearby; best effort elsewhere in the US) to: take photos of a property, storefront, vehicle or e
| Parameter | Type | Required | Notes |
|---|---|---|---|
| objective | string | yes | What must be true or be captured when the job is done. Be specific: what to photograph, measure, check, deliver. |
| address | string | yes | Full street address. The Phoenix, AZ metro is fully supported; other US locations are best effort; locations outside the US are declined. |
| access_notes | string | no | Gate codes, who to ask for, where to park, hours. |
| complete_by | string | no | Deadline for the outcome. ISO 8601 with offset (Phoenix is UTC-07:00). |
| max_budget_usd | number | no | The most the customer is willing to pay, in US dollars. Quotes above it are flagged. |
| contact_email | string | yes | The human customer's email. Quotes and status links are sent here. |
| contact_name | string | no | The customer's name, for the quote. |
| contact_phone | string | no | The customer's phone number, for urgent questions about the task. |
| client_request_id | string | no | Your idempotency key. Retrying with the same key returns the same request instead of creating a duplicate. |
Returns the current state of an HumanFn request: phase (quote_pending, needs_clarification, declined, quoted, quote_expired, payment_required, confirmed, in_progress, completed, failed, cancelled, cancellation_requested — unknown phases mean pending), the quote (price, deadline, scope, evidence you will receive, cancellation policy), job status, the result when completed, and next_poll_after_sec
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request_id | string | yes | The request ID returned by request_execution (req_…). |
| access_token | string | yes | The access token returned with the request (rqt_…); it authorizes access to this request. |
Use when a request is in phase needs_clarification. Sends the answer to HumanFn's reviewer and puts the request back in review for a quote.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request_id | string | yes | The request ID returned by request_execution (req_…). |
| access_token | string | yes | The access token returned with the request (rqt_…); it authorizes access to this request. |
| answer | string | yes | The answer to the reviewer's question, from the customer. |
Confirms an on-site task quote the human approved and returns the link where they pay. Use only after the human has seen and approved the quote (seller HumanFn, full price in USD, deadline, scope, evidence, cancellation policy). Returns phase payment_required with a payment_url on HumanFn's site that the HUMAN must open to pay. This is NOT a confirmation: the job is confirmed only after payment, w
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request_id | string | yes | The request ID returned by request_execution (req_…). |
| access_token | string | yes | The access token returned with the request (rqt_…); it authorizes access to this request. |
| quote_id | string | yes | The ID of the quote the human approved (quo_…), as shown in the request's quote. |
Before payment: withdraws the request (no charge). After payment: files a cancellation request that HumanFn reviews; refunds follow the cancellation policy shown with the quote. Returns the resulting phase.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request_id | string | yes | The request ID returned by request_execution (req_…). |
| access_token | string | yes | The access token returned with the request (rqt_…); it authorizes access to this request. |
- 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 HumanFn or to call it, at any volume.
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 1.1.2.
No release note was published with this version.
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.
Any signed-in account that does not publish HumanFn can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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.