Google Search Console integration for Model Context Protocol (MCP)
KissMyPost 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
Reddit audience data for AI assistants: subreddit growth, best time to post, brand mentions.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http kissmypost-mcp 'https://kissmypost.com/api/mcp?src=mcp-registry' --header 'Authorization: Bearer ${API_KEY}'
# 2 — ask your agent for something these tools do
# search_subreddits, subreddit_overview, best_time_to_post and 14 more
It needs API_KEY (Your KissMyPost API key, sent as Bearer (free at https://kissmypost.com/mcp)): this sends it in the Authorization header from your environment, so export it first — its endpoint answers 401 without it.
KissMyPost 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 Code reads API_KEY (Your KissMyPost API key, sent as Bearer (free at https://kissmypost.com/mcp)) from your environment each time it connects and sends it in the Authorization header — its endpoint answers 401 without it — so the key stays out of its config: export it in your shell profile (macOS, Linux), or run setx API_KEY … and open a new terminal (Windows).
claude mcp add --scope user --transport http kissmypost-mcp 'https://kissmypost.com/api/mcp?src=mcp-registry' --header 'Authorization: Bearer ${API_KEY}'Reconnect, or start a new session, and the tools appear in the model’s tool list.
It reaches a system of yours, so it needs your own credential rather than the publisher’s: Authorization header — Your KissMyPost API key, sent as Bearer (free at https://kissmypost.com/mcp). You set it in your own client’s config, on your machine — this marketplace never holds it.
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.
17 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.
Use this when the user knows (part of) a subreddit NAME and wants the exact spelling or every community with that word in its name, e.g. "subreddits with keto in the name", "is it r/Entrepreneur or r/entrepreneurs?". Matching: names only, not descriptions. Ranked: exact name > name starts with the query > query at a word boundary inside the name > anywhere in the name > close misspellings; active
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Part of a subreddit name, 2-64 characters, any case, e.g. "keto", "personalfin". Subreddit names contain only letters, digits and "_", so write it without spaces. |
Use this when the user asks how big ONE subreddit is, whether it is growing or how active it is, e.g. "How big is r/personalfinance and is it growing?". Returns members, 12-month member growth, posts and active authors per month, main topics and language, for the latest complete month in the KissMyPost archive (named in the answer) with a link to the full report. Not covered here: who the members
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddit | string | yes | Subreddit name with or without "r/", any case, or a reddit.com/r/... link, e.g. "SaaS", "r/SaaS", "https://www.reddit.com/r/SaaS/". One name, no spaces. A misspelt name returns "did you mean" suggesti |
Use this when the user asks when to post in ONE specific subreddit, e.g. "When should I post in r/startups?". Returns the best day of week and hour in UTC (convert to the user's time zone when answering), how much timing matters there, the time zones of its active audience and how much data the answer rests on. Reddit only, not other social networks. For a concrete post idea across several candida
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddit | string | yes | Subreddit name with or without "r/", any case, or a reddit.com/r/... link, e.g. "SaaS", "r/SaaS", "https://www.reddit.com/r/SaaS/". One name, no spaces. A misspelt name returns "did you mean" suggesti |
Use this when the user asks for subreddits like a given one, alternatives to it or communities with the same people, e.g. "subreddits like r/running", "alternatives to r/SaaS". Returns up to 10 subreddits with similar topics and up to 10 with an overlapping audience (the same regular authors). Small subreddits with few regulars get a note that the audience list is only a weak hint; subreddits with
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddit | string | yes | Subreddit name with or without "r/", any case, or a reddit.com/r/... link, e.g. "SaaS", "r/SaaS", "https://www.reddit.com/r/SaaS/". One name, no spaces. A misspelt name returns "did you mean" suggesti |
Use this when the user asks how often Reddit links to a brand, product or company website, or how a brand shows up on Reddit, e.g. "How often does Reddit link to notion.so?", "Nike as a brand on Reddit". Counts posts and comments that link to the domain or write the domain out ("notion.so"): totals, monthly for the last 12 months, top subreddits and topics. Input: a website domain ("nike.com", "no
| Parameter | Type | Required | Notes |
|---|---|---|---|
| domain | string | yes | Brand website domain, e.g. "notion.so", "nike.com" (exact, preferred), or the brand name, e.g. "Notion", "Nike" (matched to its tracked domain). No "www", no paths. |
Use this when the user asks which subreddits exist for a topic, hobby, product category or audience, e.g. "where do people discuss pdf editors?", "subreddits for home espresso". Matching: whole words (not parts of words) in subreddit NAMES and DESCRIPTIONS, any language. Light English stemming: "editing" also matches "editor", "edits". Several words are NOT one phrase: each word counts on its own
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topic | string | yes | Topic words, e.g. "pdf editor", "home espresso", "B2B SaaS marketing". 1-4 specific words work best; each word counts separately (rare words weigh more), whole words only, any language. Up to 1000 cha |
Use this when the user asks for the biggest, fastest growing or most active subreddits, on all of Reddit or in a broad area, e.g. "fastest growing fitness subreddits", "biggest subreddits". Returns three monthly rankings, top 10 each: biggest (members), fastest growing (members gained in 12 months) and most active (people commenting per month), for the latest ranked month named in the answer. NSFW
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topic | string | no | Optional broad topic area, e.g. "fitness", "programming", "cooking", "finance", "gaming". Leave out for all of Reddit. An unknown area returns the list of available ones. |
Use this when the user asks about Reddit as a whole: how many people are active, posts or comments per day, how many subreddits are active, or who Redditors are (gender, age, country, bots), e.g. "How many people are active on Reddit?". Returns, for the latest complete month: people who posted or commented (readers and logged-out visitors are not counted), accounts active over 12 months, posts and
Takes no parameters.
Use this when the user asks what Reddit discusses around a subject or which narrower topics it splits into, e.g. "What topics come up around sourdough baking?", "What do people discuss about AI agents?". Searches the KissMyPost map of Reddit topics by MEANING, not exact words, so synonyms and rephrasings find the same topics; a made-up or too vague query returns no topics rather than random ones.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | A subject in a few words, 2-64 characters, e.g. "sourdough", "pdf editing", "AI agents". Matched by meaning, so plain words work; no quotes or operators needed. |
Use this when the user asks how often Reddit writes a word, phrase, product or name in posts and comments, or how that changed over time, e.g. "How often has Reddit mentioned Cursor IDE?", "How many times was GummySearch alternative written word for word?". Counts the name in text even without a link. Matching: match "exact" (default) = the words next to each other as one phrase, any case; quotes
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | A word or phrase, 2-80 characters, e.g. "pdf editor", "GummySearch alternative", "Notion", "Claude Code". Quotes are optional and ignored: how words are matched is set by match. Any language works, bu |
| match | string | no | How the words are matched. "exact" (default): the words next to each other as one phrase - for names and fixed phrases ("GummySearch alternative", "Cursor IDE"). "all": all words anywhere in the same |
| period | string | no | Time window ending at the latest month in the archive. "24m" (default), "12m", "3y", "10y" or "all" (since 2005). Use "all" or "10y" for "ever" or long-term trends, "12m" for "lately". |
| subreddit | string | no | Optional. Count mentions only inside this subreddit, e.g. "SaaS". Leave out for all of Reddit (then the answer includes the top subreddits). |
Use this when the user wants to read actual Reddit posts about a word or phrase, e.g. "show me posts asking for a GummySearch alternative", "what do people say about PDF editors in r/smallbusiness?". Returns up to 10 posts: title, FULL post text, subreddit, month, score, comments and reddit.com link, from the last 24 months. Reposts of the same post are shown once; posts where the query is only in
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | A word or phrase, 2-80 characters, e.g. "pdf editor", "GummySearch alternative", "Notion", "Claude Code". Quotes are optional and ignored: how words are matched is set by match. Any language works, bu |
| match | string | no | How the words are matched. "exact" (default): the words next to each other as one phrase - for names and fixed phrases ("GummySearch alternative", "Cursor IDE"). "all": all words anywhere in the same |
| sort | string | no | "relevance" (default): posts whose title is about the query first, then the strongest reaction (score + comments). "new": newest first, for "what are people saying lately". |
| subreddit | string | no | Optional. Only posts from this subreddit, e.g. "smallbusiness". Leave out for all of Reddit. |
Use this when the user asks what is allowed in ONE subreddit or how likely a post is to be removed there, e.g. "What are the posting rules in r/Entrepreneur?", "Can I post links in r/SaaS?". Returns allowed post types, crossposts, karma or account-age gates and how often posts get removed there. Nothing is posted. Cost: 5 kisses per subreddit, then unlocked for 30 days. Daily limit: different subr
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddit | string | yes | Subreddit name with or without "r/", any case, or a reddit.com/r/... link, e.g. "SaaS", "r/SaaS", "https://www.reddit.com/r/SaaS/". One name, no spaces. A misspelt name returns "did you mean" suggesti |
Use this when the user wants fresh threads to reply to in specific subreddits, e.g. "find threads in r/SaaS and r/startups where I could help". Takes 1-10 subreddit names and returns up to 10 fresh threads worth replying to: full post text, age, score, link, and the full text of past replies that did well on similar threads (with their points). Nothing is posted. Cost: 10 kisses per run; the same
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddits | array | yes | 1-10 subreddit names, e.g. ["SaaS", "startups"]. Same name format as other tools; misspelt names return suggestions and nothing is charged. |
Use this when the user asks who is in ONE subreddit: demographics, gender split, age, or what else its people are into, e.g. "audience of r/SaaS by age", "demographics of r/fitness". Compares the regulars with all Reddit regulars: share of women, median age and every age group, where else they spend time on Reddit and what they talk about more than average. One call covers all of these. NSFW left
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subreddit | string | yes | Subreddit name with or without "r/", any case, or a reddit.com/r/... link, e.g. "SaaS", "r/SaaS", "https://www.reddit.com/r/SaaS/". One name, no spaces. A misspelt name returns "did you mean" suggesti |
Use this when the user wants to compare the people of two subreddits or two groups of subreddits, e.g. "Compare r/cats and r/dogs", "r/python vs r/learnpython + r/javascript". One call returns both sides: how much they overlap, gender and age of each side, where each side spends time elsewhere and which topics each side is more into. NSFW left out. a and b are lists of names ("cats" or "r/cats").
| Parameter | Type | Required | Notes |
|---|---|---|---|
| a | array | yes | Side A: 1-10 subreddit names, e.g. ["cats"] or ["python", "learnpython"]. One name per side works on every account; more than one name compares a group and needs a paid account. |
| b | array | yes | Side B: 1-10 subreddit names, e.g. ["cats"] or ["python", "learnpython"]. One name per side works on every account; more than one name compares a group and needs a paid account. |
Use this when the user has a post idea, title or draft and asks where or when to post it on Reddit, e.g. "Where should I post: I built a free PDF editor?". Returns the subreddits where similar posts already live, how they scored (median), the best day and hour (UTC) in each, related subreddits, the peak hour for the topic and whether it is seasonal. Nothing is posted. Write the title as it would b
| Parameter | Type | Required | Notes |
|---|---|---|---|
| title | string | yes | The post title or a one-line idea as it would be posted, up to 300 characters, e.g. "I built a free PDF editor that runs in the browser". |
| body | string | no | Optional post text, up to 4000 characters, e.g. the first paragraph of the draft. Improves the match for short or vague titles. |
Use this when the user asks for studies or published data about how Reddit works, e.g. "Is there research on how often Reddit removes posts?". Searches KissMyPost studies of Reddit data (best time to post, removals, age and gender, brand mentions, first customers, subreddit counts and more) and returns each matching study's short answer, date and link with DOI. Leave query out to list all studies.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Optional topic, e.g. "best time to post", "removed posts", "age", "karma". Leave out to list all studies. |
- 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 KissMyPost 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.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| search_subreddits | no tags | |
| subreddit_overview | no tags | |
| best_time_to_post | no tags | |
| similar_subreddits | no tags | |
| brand_mentions | no tags | |
| find_subreddits_by_topic | no tags | |
| top_subreddits | no tags | |
| reddit_statistics | no tags | |
| explore_topics | no tags | |
| search_reddit_mentions | no tags | |
| search_reddit_posts | no tags | |
| subreddit_posting_rules | no tags | |
| reply_radar | no tags | |
| subreddit_audience | no tags | |
| compare_subreddits | no tags | |
| where_to_post | no tags | |
| search_research | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
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 1.0.2.
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 KissMyPost 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.