Search / io.github.pipeworx-io/seo-competitors
Seo Competitors
R0· no sign-inSEO Competitors MCP — domain ranked keywords via DataForSEO Labs (dataforseo.com)
v0.1.2 · active · repository · website · descriptor JSON · versions
Search / io.github.pipeworx-io/seo-competitors
R0· no sign-inSEO Competitors MCP — domain ranked keywords via DataForSEO Labs (dataforseo.com)
v0.1.2 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"seo-competitors": {
"type": "http",
"url": "https://gateway.pipeworx.io/seo-competitors/mcp"
}
}
}claude mcp add --transport http seo-competitors https://gateway.pipeworx.io/seo-competitors/mcp[mcp_servers.seo-competitors]
url = "https://gateway.pipeworx.io/seo-competitors/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"seo-competitors": {
"type": "remote",
"url": "https://gateway.pipeworx.io/seo-competitors/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"seo-competitors": {
"type": "http",
"url": "https://gateway.pipeworx.io/seo-competitors/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=seo-competitors&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZ2F0ZXdheS5waXBld29yeC5pby9zZW8tY29tcGV0aXRvcnMvbWNwIn0%3D"
}{
"servers": {
"seo-competitors": {
"type": "http",
"url": "https://gateway.pipeworx.io/seo-competitors/mcp"
}
}
}{
"mcpServers": {
"seo-competitors": {
"httpUrl": "https://gateway.pipeworx.io/seo-competitors/mcp"
}
}
}extensions:
"seo-competitors":
enabled: true
name: "seo-competitors"
type: streamable_http
uri: "https://gateway.pipeworx.io/seo-competitors/mcp"
timeout: 300
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modernnewest supported version is 2025-03-26; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageseo_domain_ranked_keywordsremovedWhat keywords does `<domain>` rank for — returns the keywords a domain ranks for in Google organic, with search volume, current rank, and ranking URL. Competitor SEO intelligence. Example: seo_domain_ranked_keywords({ target: "nike.com", location_code: 2840, limit: 50, _apiKey: "your-base64-key" })
forgetremovedDelete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
recallremovedRetrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.
rememberremovedSave data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.
pipeworx_feedbackremovedTell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.
generate_llms_txtremovedGenerate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.
suggest_questionsremovedWhat can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).
classify_rowremovedCheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, evidence_url, quote, status: found|inferred|not_established} — "found" only when the model's quote is independently verified as a verbatim substring of the text used. Pass text directly (cheapest — no fetch) or entity.domain to fetch the homepage once as a fallback. No text and no domain means every label is not_established with no model call made.
archive_compareremovedWhat changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and both capture timestamps with their gaps from the requested dates. It diffs readable text, not markup, so a restyled page with the same words reads changed:false. Identical captures answer changed:false with the reason (same capture, identical content digest, or identical text), never an empty diff. A date with no capture within max_gap_days (default 30) answers status "no_capture", naming which side is missing and the nearest captures to it. Typical uses: how a privacy policy, terms of service, pricing or product page changed; whether a statement was on a page at a given time.
archive_evidenceremovedWhat did a web page say on a given date? Finds the archived capture of a URL nearest that date across the Internet Archive Wayback Machine, Common Crawl and Arquivo.pt, reads it, and returns the readable text (HTML stripped) with the capture timestamp, a link to the archived copy, and the GAP between the date asked for and the capture actually used (e.g. "Captured 1.5 day(s) before the requested date"). One call replaces the find-capture, fetch-record, parse-HTML chain. If no archive holds a capture within max_gap_days (default 30) it answers status "no_capture" and names the nearest capture before and after the date with their gaps, so a distant capture is never passed off as the page on that date. Every archive's outcome is listed in sources[]; one that timed out or errored says so with its upstream status, and if all of them failed the answer is error "archives_unavailable", not no_capture. Captures are immutable and cached by capture id; served_from says whether the text came from cache or upstream. Use archive_compare to see what changed between two dates.
Showing the latest 10. Full history: list_changes · trend: quality JSON.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website +reachable +uptime-97% +updated-23d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://gateway.pipeworx.io/seo-competitors/mcp streamable-http | none | yes | 97% | 29 ms | 2025-03-26 | 2026-10-19 |
No tools observed. Tools appear once a credential-free probe can list them.
Schemas: list_tools.
And 1,847 more from this publisher.
{
"name": "io.github.pipeworx-io/seo-competitors",
"title": "Seo Competitors",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://gateway.pipeworx.io/seo-competitors/mcp",
"type": "streamable-http"
}
],
"version": "0.1.2",
"repository": {
"url": "https://github.com/pipeworx-io/mcp-seo-competitors",
"source": "github"
},
"websiteUrl": "https://pipeworx.io/packs/seo-competitors",
"description": "SEO Competitors MCP — domain ranked keywords via DataForSEO Labs (dataforseo.com)"
}