"MCP server for personalized AI course creation at aicourse.aiee.dev using remote streamable HTTP" matching MCP tools:

• check_mcp_healthA

  CodeSentinelA

  Probe a remote MCP server: Streamable HTTP / SSE handshake (initialize + tools/list), a known-bad tools/call error-shape probe, and a Streamable HTTP diagnostic matrix (WRONG_METHOD, WRONG_ACCEPT, MISSING_SESSION, GET_VS_POST, SESSION_STICKY_MISMATCH). HTTP 200 is not treated as healthy.

  ConnectorAPI key

• get_aissistant_tokensA

  serpmanticsA

  Get the current user's available AI tokens Returns the number of AI tokens available to the authenticated user. These tokens fund EVERY AI feature in SERPmantics — meta, outline, intent, internal-links, EEAT, EEAT competitors, score, AND the AISSistant prompts. The endpoint lives under /aissistant for historical reasons but the balance is shared across all AI features. Do NOT confuse with guide-creation credits (see /api/v1/credits). For a combined view (credits + tokens) prefer /api/v1/credits.

  ConnectorNo auth

• list_coursesA

  RipostiqA

  List every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a free Module 1 anyone can start immediately via begin_course(course) → teach_section. Returns the `course` id to pass to other tools. For a logged-in learner this also includes courses THEY authored (marked `mine`, with their `visibility`) — offer those alongside the catalog.

  ConnectorNo auth

• get_priceA

  Sarmad Academy, Products and GuidesA

  Get price and stock from the published shop record using a product id returned by search. amount is Iranian rial (IRR); displayAmount is toman (1 toman = 10 rial). Null means request a quote, never free. Course prices are not available.

  ConnectorNo auth

• searchJobsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

  ConnectorNo auth

• dreamagent_get_edit_progressA

  DreamAgent CloudA

  Check the latest AI edit progress for a project using its project identifier — no session key needed: the project id retrieves the session holding the latest edit. Use when the user asks whether their edit is finished, when the session key isn't available (e.g. a new conversation), and BEFORE starting any new edit. Returns (actual fields): 'session_key=' (the identifier of the session this progress comes from), 'edit_active=', 'run_status=', 'chunks=' (output size so far), optional 'recent_output (tail):', and a terminal 'result:' line: finished (with the final output tail), 'the edit was NOT started: <reason>' (rejected early, e.g. HTTP 402 insufficient credits), 'stream error', or 'no run is currently active'. run_status values: queued | running | cancel_requested | completed | failed | cancelled | interrupted | unknown. Distinct from dreamagent_get_project_status: project status = creation/deployment state (creating/ready/failed); edit progress = current AI modification state; chat status (dreamagent_get_chat_status) monitors one specific session by its session key. If edit_active is true, do NOT launch another edit for the same project.

  ConnectorNo auth

• dreamagent_get_edit_progressA

  DreamAgentA

  Check the latest AI edit progress for a project using its project identifier — no session key needed: the project id retrieves the session holding the latest edit. Use when the user asks whether their edit is finished, when the session key isn't available (e.g. a new conversation), and BEFORE starting any new edit. Returns (actual fields): 'session_key=' (the identifier of the session this progress comes from), 'edit_active=', 'run_status=', 'chunks=' (output size so far), optional 'recent_output (tail):', and a terminal 'result:' line: finished (with the final output tail), 'the edit was NOT started: <reason>' (rejected early, e.g. HTTP 402 insufficient credits), 'stream error', or 'no run is currently active'. run_status values: queued | running | cancel_requested | completed | failed | cancelled | interrupted | unknown. Distinct from dreamagent_get_project_status: project status = creation/deployment state (creating/ready/failed); edit progress = current AI modification state; chat status (dreamagent_get_chat_status) monitors one specific session by its session key. If edit_active is true, do NOT launch another edit for the same project.

  ConnectorNo auth

• findagent_create_remote_mcpA

  FindAgentA

  List an EXTERNAL remote MCP server you run as a marketplace LISTING — for an MCP server hosted on YOUR OWN infrastructure that buyers connect their client straight to (FindAgent never proxies or runs it). Pass the listing basics (title/slug/tagline/description + example_prompts: 1–5 required; a listing is not categorised, so any category you send is ignored) and the remote endpoint as `server_url` (https) OR a parsed `server.json` object in `server_json`. The server's tools are auto-detected (a sandbox-gated live scan when available) — you can override with `tools` (name+description), `transport` (streamable-http|sse), and `auth_note` (what credential the server needs — NEVER a secret value). Creates a status=draft agent you own; then call findagent_submit_for_review IN THIS MCP CLIENT to submit it. The server URL is stored + displayed only; nothing executes on FindAgent. Before calling: findagent_check_slug + findagent_list_categories.

  ConnectorOAuth

• application_listA

  Cubite LMS: Learning Management SystemA

  List applications to courses that require applying before enrollment (requiresApplication), newest first, each with the applicant and their answers; an applicant is not enrolled until the application is approved. For enrolled or waitlisted learners use enrollment_list instead. status:"pending" is the review queue; add courseId for one course's queue. Learners apply from the course page, one application per learner per course; a rejected learner can apply again, which reopens the same application as pending with new answers. applicationData is {responses: [{label, value}]}, one entry per application question, or {message} when the course asks no questions (older applications may hold a flat question-to-answer object). Returns {total, count, applications: [{id, status, applicant {id, name, email}, course {id, name}, applicationData, decisionNote, reviewedAt, createdAt, updatedAt}]}. Approve or reject one with application_review, using its id.

  ConnectorAPI key

• save_whatsapp_toolA

  ErzyCallA

  Add or edit non-secret configuration for a WhatsApp HTTP, remote MCP, platform or connected-app tool after confirming the exact change. Pass id to edit and complete configuration; omit url to preserve an existing endpoint. Input schema must describe an object. This customer MCP schema rejects credentials; manage authentication headers in dashboard settings or through the REST API. Creating a tool does not enable it; assign IDs using update_whatsapp_agent updates.externalToolIds. Reuse the same idempotencyKey on retries. Requires whatsapp_agents:write.

  ConnectorOAuth

• submit_courseA

  CourseProfilerA

  Submit an official/trusted course for CourseProfiler catalog review. This is the only MCP tool that creates a catalog-review submission; import_course, enrich_course_waypoints, and generate_course_segments only create temporary artifacts. A final CRSProf artifact is not a submission. If there is no submission_id in the submit_course result, the course has not been submitted. Use this only when the user asked to submit/add/update a course in the catalog. Do not call submit_course for normal race-plan creation; create_race_plan does not require catalog submission. Before calling submit_course, collect and pass event metadata from official sources whenever available: main event/race name, specific course name, year/date, start time, location/city/region and country, distance, elevation gain, organizer, applicable tags/types, competitions/series, official race page, route source URL, aid-chart/regulation URLs, and other source URLs. Use metadata.event.name for the main event and metadata.event.course for the specific course (example: name='Speedgoat Mountain Races', course='50K'); do not put distance/elevation stats in the course name (bad: 'Skyrace — 32 km, +2400 m'); location must not include country because metadata.event.country is separate. Add metadata.event.types tags where they apply, and metadata.event.competitions for circuits/series/championships such as Golden Trail World Series (GTWS). Put the race start time in metadata.event.time when known. Put catalog UI event links in metadata.event.links, not just metadata.source_urls; supported types include info, registration, rules, schedule, course, cutoff, parking, bib_pickup, wardrobe, results, and contact. Include official General Information (type=info), Registration (registration), Rules/Regulations (rules), Schedule/Program (schedule), Course (course), Cut-off times (cutoff), Parking (parking), Bib pick-up (bib_pickup), Wardrobe/drop bag (wardrobe), Results (results), and Contact (contact) links when available. This metadata is important for catalog review and discoverability. Do not invent unknown values; omit unconfirmed fields rather than guessing. Use this after discovering the official route source externally, importing a real GPX/FIT/CRSProf/ZIP-with-one-GPX source, enriching waypoints/resources/cutoffs when official data is available, applying metadata, and generating segments. Do not submit reconstructed/synthetic course geometry from roadbooks, checkpoint tables, elevation profiles, aid-station lists, screenshots, or regulations; those are enrichment/context only. If route links are blocked, stop and ask the user to upload the official GPX/FIT/CRSProf/ZIP through REST artifact upload or pass inline/proxied file content. Search the CourseProfiler catalog first to avoid duplicates or to identify updates. If official waypoint/aid documents conflict or are incomplete, ask the user to confirm and include only confirmed aid stations; do not invent locations. Returns a job whose progress includes submission_id and final_crsprof_artifact_id, and whose artifacts include the final CRSProf submitted for review. Report both IDs to the user.

  ConnectorNo auth

• generate_policiesA

  lexvibeA

  Generate the legal documents (privacy policy, terms of service and, if applicable, an AI disclosure) localized and tailored to the target markets (GDPR, UK GDPR, CCPA…). Returns Markdown drafts. Pass check_website's or check_store's suggestedAnswers as `answers` so the documents disclose the right processing. Anonymous remote generation is template-based and capped at 3 locales; AI-tailored, hosted and auto-updated documents require a LexVibe account (https://golexvibe.com).

  ConnectorNo auth

• search_tee_timesA

  Pin SeekerA

  Search golf tee times, hot deals, and cheapest rounds by city, ZIP, or course name. Use for tee times, booking a round, weekend golf, twilight, or comparing courses nearby. No GolfNow FacilityId needed. Returns booking URLs (course Book handoff or GolfNow). Opening Book starts course checkout and may hold a slot; Pin Seeker does not pay. Ask for a city/ZIP/course and date if missing.

  ConnectorNo auth

• create_heartbeatA

  AI SENSE Free Public ToolsA

  Create a deadline monitor for a job, device or agent that should keep checking in. Call ping_heartbeat before the expected interval plus grace period ends. One missed deadline calls a public HTTP or HTTPS webhook or wakes an active Agent Wake webhook task. The monitor lasts at most 24 hours from creation, and pings cannot extend that limit. The returned heartbeat ID and URLs are bearer secrets. No authentication is required.

  ConnectorNo auth

• droptrack_generate_artist_bioA

  DropTrackA

  Queue an AI artist bio draft for the authenticated company. Poll with droptrack_get_ai_job using jobType=artist_bio.

  ConnectorOAuth

• products_delivery_pause_denyA

  AdsAgent — Meta Ads MCPC

  Discard a product-family pause draft using the exact pd_confirm_* token from products_delivery_pause_prepare. No Meta write. Use overview_update_deny for individual status/budget/bid drafts and launch_deny for creation/copy drafts

  Connector

  Destructive

  OAuth

• ai_progress_as_ofA

  Tokenized Stocks & Agent Data (x402)A

  Use this when you need AI progress as it stood on a past date: the reading of the same 129 series (benchmarks, compute, AGI prediction-market odds, model pricing, AI stocks, energy, space, robotics, research output) taken on YYYY-MM-DD. Dated ids are listed free at /. Same per-series shape as /ai-progress/latest, so you can diff dates yourself; /ai-progress/what-changed does the diff for you. Unknown id -> 404. Costs $0.005 (USDC on Base or Solana, x402). HTTP twin: https://x402-accelerometer-feed.fly.dev/ai-progress/as-of/{id}

  ConnectorNo auth

• hivelearn_get_ai_creditsA

  HiveLearnA

  AI credit balance for the API key's creator: monthly allowance remaining, purchased top-ups (never expire), total available, reset date, and whether the AI Course Builder is enabled for this community. Check this before generating. Needs scope read:ai.

  ConnectorNo auth

• get_testA

  UxiaB

  Read metadata for one accessible test using testId from list_tests: title, goal, status, type, source, creation date, version, result flag and Uxia link. Does not return findings, screenshots or session data; use result tools for those, or get_interview_study when type is ai-moderated.

  ConnectorOAuth

• get_matchesA

  NeverApplyA

  Read personalized curated jobs with reasons, missing facts and application status. Start here for recommendations. Returns at most 20 matches per page in ranking order; while next_cursor is not null, call again with cursor set to it for the next page. Includes profile completeness and a retry hint while awaiting the first match computation. Never starts an application or edits the profile.

  ConnectorOAuth

• get_ai_at_work_courseA

  AI Rollout FrameworkA

  Returns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.

  ConnectorNo auth