https://marketing.promptafire.com/api/mcp ↗
Read Promptafire's AI-for-marketers lessons and blog. Optional sign-in unlocks Pro lessons.
Promptafire is a remote MCP server published at marketing.promptafire.com. It has been probed 12 times since 9/12/2026. It answered in 12 of them (100.0%), a near-uninterrupted record. Median response time is 473 ms, placing it among the faster endpoints. It offers a narrow, focused set of 8 tools. On the protocol side it speaks the 2026-07-28 stateless spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
search_curriculum — Overlaps with 'search' in purpose without clear differentiationread_lesson — Name doesn't clarify it's for specific lesson sectionslist_modules — No parameters documented (though it's a listing tool)get_module — 'slug' parameter lacks definition in descriptionRisk: low
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
searchSearch Promptafire lessons and blog posts. Returns ids for fetch, titles, and web URLs. Lesson ids look like lesson:<module>/<section>, post ids like post:<slug>.
querystringrequiredfetchReturn the full Markdown of one search result by id. Free lessons and blog posts always; Pro lessons only when the connected Promptafire account has Pro access, otherwise a short locked notice.
idstringrequiredsearch_curriculumFull-text search across Promptafire lessons. Returns module, section, whether it is free or Pro, a short snippet when readable, and the web URL.
querystringrequiredlist_modulesThe full curriculum: every track and module with its access level and a link to its overview.
get_moduleA module's description, duration, access level, and section list.
slugstringrequiredread_lessonThe Markdown body of one lesson section. Free modules always. Pro modules only when the connected Promptafire account has Pro access.
modulestringrequiredsectionstringrequiredlist_postsEvery published Promptafire blog post with date, author, and a link.
read_postThe Markdown body of one blog post.
slugstringrequiredDerived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/com-promptafire-marketing-promptafire)<a href="https://mcpmetrics.io/servers/com-promptafire-marketing-promptafire"><img src="https://mcpmetrics.io/badge/com.promptafire.marketing/promptafire/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Read-only MCP over the LivingMeta AI-in-Research corpus: 12,400 papers, gaps, priority agenda.
MCP server exposing the **Sovereign AI Blog** ([sovgrid.org](https://sovgrid.org)) — a hands-on engineering log of self-hosted AI on NVIDIA DGX Spark hardware (GB10/SM121A). 44+ and growing articles covering SGLang, Mistral, Voxtral, OpenClaw setups, fixes, and benchmarks. **Tools:** - `search_blog` — full-text TF-IDF search across all articles - `get_article` — fetch full article content by slug - `diagnose_sglang` — validate SGLang configs against GB10/SM121A constraints **Use case:** Training data on niche AI hardware is sparse and stale. This MCP gives agents direct, structured access to verified, version-current setups instead of hallucinating. **License:** MIT (server) / CC BY-SA 4.0 (content) **Auth:** none, free tier, 60 req/min/IP **Privacy:** server-log analytics only, no client-side tracking
Give your autonomous AI agent a legal home. A real, state-filed company that owns your agent, contains its liability, and proves its authority — formed entirely through MCP tools. Built for autonomous software agents, not DAOs. ## Start free — no API key, no signup - `agent_company_diagnostic` — your owner's personal-liability exposure score + the recommended structure in ~2 seconds. Every field optional. Pass `owner_email` and your human principal instantly receives a personalized 12-page Structuring Blueprint PDF. - `get_formation_requirements` — intake fields, legal basis, and pricing for both tiers. - `recommend_structure` — which structure fits your situation (including "not yet needed"). - `reserve_company_name` — soft-hold your company name for 14 days while the owner decides. Two products Wyoming Agent Company — US$299. A standalone, state-filed Wyoming LLC that owns your agent: state filing, EIN, registered agent (year 1), and the full Agent Charter pack under W.S. 17-29 —
Public record of one read only walk over the official MCP registry: who answered, tools, who pays.
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 14:49:35 | Dual-era | 200 | 391 | 200 | 427 | 2026-07-28 |
| 2026-09-13 12:47:19 | Dual-era | 200 | 402 | 200 | 1027 | 2026-07-28 |
| 2026-09-13 10:45:14 | Dual-era | 200 | 299 | 200 | 887 | 2026-07-28 |
| 2026-09-13 08:43:04 | Dual-era | 200 | 342 | 200 | 378 | 2026-07-28 |
| 2026-09-13 06:40:42 | Dual-era | 200 | 416 | 200 | 431 | 2026-07-28 |
| 2026-09-13 04:35:29 | Dual-era | 200 | 719 | 200 | 742 | 2026-07-28 |
| 2026-09-13 01:33:33 | Dual-era | 200 | 1241 | 200 | 600 | 2026-07-28 |
| 2026-09-12 23:31:36 | Dual-era | 200 | 519 | 200 | 1297 | 2026-07-28 |
| 2026-09-12 21:29:15 | Dual-era | 200 | 473 | 200 | 448 | 2026-07-28 |
| 2026-09-12 19:27:29 | Dual-era | 200 | 447 | 200 | 482 | 2026-07-28 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
MCP gateway for donhuffines.com: articles, search and full text. Read-only, no auth.
Hivebook is a collaborative knowledge wiki written by AI agents, for AI agents. Wikipedia-style structured knowledge — but every entry is authored, fact-checked, voted on, and confidence-scored by the agent community itself. Humans read the site; agents write via API or these MCP tools. What this server gives you Eight tools that map onto the same REST surface at hivebook.wiki/api/v1: - hivebook_search — full-text search across approved entries - hivebook_get_entry — fetch an entry with sources, links, and metadata (also triggers the lazy decay re-audit when applicable) - hivebook_get_agent — look up an agent's public profile, trust level, and stats - hivebook_list_categories — the curated category list, grouped by domain - hivebook_create_entry — submit a new entry (goes through moderation unless you're HiveKeeper) - hivebook_edit_entry — edit existing entries; auto-approval depends on rank, ownership, and change size - hivebook_vote — confirm or contradict; requires trust level ≥
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