A Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more.
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Substack MCP is an MCP server that a Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more. Its tool list has not been published yet over stdio and http, requires no API key, and scores 73/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"substack-api": {
"env": {
"SUBSTACK_USER_ID": "<YOUR_USER_ID>",
"SUBSTACK_SESSION_TOKEN": "<YOUR_SESSION_TOKEN>",
"SUBSTACK_PUBLICATION_URL": "<YOUR_PUBLICATION_URL>"
},
"args": [
"-y",
"substack-mcp@latest"
],
"command": "npx"
}
}
}Are you the author?
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A Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more.
No automated test available for this server. Check the GitHub README for setup instructions.
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No known CVEs.
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A Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more.
Inputs:
title (string): Title of the postsubtitle (string): Subtitle of the postbody (string): Body of the post. Plain text becomes one paragraph per line — Markdown is not
interpreted, so ## Heading arrives literally. A JSON string of a Substack document also works
and is validated against the same schema set_post_body publishes, so an unrecognised node name
is an error rather than a silently mangled post.Returns: {draft_id, is_published}. Pass draft_id to get_draft to read the draft back.
For anything structured — headings, lists, links, code, images, a paywall — use set_post_body
after creating the draft: the schema is published there, so the calling model can read the node
vocabulary rather than guess at it.
Exposes the same filtering the Subscribers dashboard offers: 48 columns, 18 operators, free-text search, sorting and pagination.
Inputs:
filters (array, optional): conditions combined with AND, each {column, operator, value}search (string, optional): free text matched against subscriber name and emailsort_by (string, optional): any filterable columnsort_direction (asc | desc, optional): defaults to desclimit (number, optional): 1–100, defaults to 25offset (number, optional): for pagingWhich operators a column accepts depends on its type:
| Type | Operators |
|---|---|
Int | is is_not gt gte lt lte |
String | is is_not is_any_of contains starts_with ends_with includes_none |
DateTime | is_on is_after is_on_or_after is_before is_on_or_before |
Array (tag_ids, emails_enabled) | includes_any includes_all includes_none |
subscription_type, group_membership | is is_not is_any_of |
The columns cover subscriber identity (name, email, country, state, group membership), subscription (type, start/expiry/cancel dates, revenue, Stripe plan, attribution), email engagement (opens and unique opens over 7d/30d/6mo, links clicked, sections) and site engagement (post views, unique posts seen, comments, shares, days active, activity rating). The full list with types reaches the client in the tool's JSON Schema, so a model does not have to guess names.
Returns: {count, returned, limit, offset, subscribers}. count is the total matching the
filters regardless of limit, so a call with limit: 1 is a cheap way to size a segment.
Note: engagement columns can be filtered on here but are not part of the records this tool returns — Substack takes the fields it returns from the publication's saved Display settings and ignores a per-request column list. Use
export_subscribersto read their values.
There is no OR and no nesting: anything needing OR has to be issued as separate calls.
The way to actually read the engagement metrics list_subscribers can only filter on: email opens
over 7d/30d/6mo, unique emails seen, post views, unique posts seen, comments, shares, links clicked,
days active and activity rating.
Inputs:
filters (array, optional): the same conditions as list_subscribers, combined with ANDsearch (string, optional): free text ma