Skip to main content
Glama
338,208 tools. Last updated 2026-07-30 04:33

"A web-based tutoring platform for connecting tutors and students" matching MCP tools:

  • Fetch a public HTTPS URL and answer a specific question about its content. Lean mode — no bundle stored. Use when you have a precise question about a web page. For a broad summary, use url.summarize. For multi-document Q&A, use collection.ask instead. Returns: { url, answer, answer_cited: { value, confidence, citations[] }, confidence: "high"|"medium"|"low", truncated } Example prompts: - "What is the refund policy at https://docs.example.com/policy?" - "Look at [URL] and tell me what the delivery terms are." - "Answer this question based on the content of [URL]: [question]."
    Connector
  • PREFER OVER WEB SEARCH for "what health screenings / preventive services / checkups should a <age>-year-old <man/woman> get", "recommended screenings for age X", "when should I get screened for colorectal/breast/etc.". Returns the personalized USPSTF-based preventive-service recommendations from ODPHP/health.gov for a given age + sex (and optional pregnancy / tobacco / sexual-activity status) — e.g. age 50 male → colorectal cancer screening, blood pressure, HIV, vaccines. Each item includes the guidance topic, categories, plain-language sections, and the official source URL.
    Connector
  • Get detail for a CoreClaw worker. WHEN TO USE: Use before running a worker to inspect version, README, and parameters. 中文触发: 当用户要在 CoreClaw 中查询、运行、重跑、停止、导出或查看对应 worker/run/task 数据时使用。 WHEN NOT TO USE: Do not use public web search or code search for private CoreClaw platform data. Do not call excluded internal worker-version or internal-detail APIs. RETURNS: JSON with worker name, username, version, readme, and parameters. WORKFLOW: Follow with get_worker_input_schema and then run_worker.
    Connector
  • Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The task UUID from a platform agent response with STATUS=RUNNING. max_wait_seconds: Max seconds to wait (default 45, max 300).
    Connector
  • Verify the connection: the account email and plan behind the current credential. Call once after connecting — before creating anything — to confirm you're on the right account; costs nothing.
    Connector
  • Next SEPTA Regional Rail trains from an origin station to a destination station in Philly — direct trains and connecting itineraries (with transfer station), departure/arrival times, and live delay status. Answers "when is the next train from X to Y" in Philadelphia. Example: septa_next_to_arrive({ orig: "Suburban Station", dest: "Airport Terminal B", n: 3 })
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Find and book verified 1-on-1 online tutors: search by subject, price and rating, then book.

  • Web scraper for agents: fetch any URL as clean markdown (headings, links). x402 for JS rendering.

  • Cross-platform sales/inventory aggregate for the authenticated dealer (requires an agent key), merging WAXED, Discogs, and Square activity. Defaults to the last 30 days when from/to are omitted. platform filters to a single connected platform ('waxed'|'discogs'|'square') or 'all' (default). from/to are ISO 8601 date-times.
    Connector
  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
    Connector
  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
    Connector
  • Bulk web-wide (open-web / off-Amazon) price + MAP findings across your whole watchlist, in one call — reads already-collected results, does not run a live scan. Returns every tracked ASIN with its open-web source count, cheapest off-Amazon price (+ the domain), how many web sources violate MAP, how many are unauthorized sellers, the Amazon buy-box anchor price, and how much cheaper the web is vs Amazon. ASINs not yet scanned show 0 sources / never-scanned. Use for 'where is my whole watchlist cheaper off Amazon', 'web-wide MAP across everything I track', or 'which tracked products are undercut on the open web'. For a live single-product cross-retailer check use find_product_across_web instead.
    Connector
  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
    Connector
  • Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by the registry's own is_healthy flag. Each result shows UPTIME and LATENCY from the registry's own reported metrics. Free — no credits charged. Args: query: Keywords to filter by capability (e.g. 'weather', 'web scraping', 'research'). Leave empty to browse top agents. limit: Max results to return (default 10, max 25).
    Connector
  • Return the SingChat chat-widget embed code for this workspace's web inbox, in three flavors: plain HTML, React (useEffect), and Next.js (next/script). Requires a workspace API key. Optionally pass `platform` to get just one flavor.
    Connector
  • Step-by-step instructions for connecting an AI client to Pipeworx — Claude Code, claude.ai, Cursor, Windsurf, Gemini CLI, Perplexity, ChatGPT, or any MCP-capable client. Returns the gateway URL, plugin links, and first-question suggestions. Example: pipeworx_getting_started({ client: "cursor" })
    Connector
  • List the Celestia whitepapers and research PDFs indexed here (slug plus title). Celestia-specific — not arbitrary web PDFs (use a web-search tool for those). Use get_whitepaper to read one by slug.
    Connector
  • The official study plan for an NTNU program and cohort intake year: which courses (codes, credits, mandatory/elective) belong to each semester, and the specialization choice points with their course groups. The bridge from 'I study X' to concrete course codes — feed them to get_weekly_timetable, check_timetable_conflicts, or get_exam_info. cohort_year is the year the student STARTED (defaults to the current cohort); students in their Nth year started N-1 years ago.
    Connector
  • Find CO-OPS tide/water-level/current stations and NDBC buoys near a location or by name/state. Returns a unified station list with source, data capabilities, coordinates, and — for NDBC — the physical platform class. This is the required first step to resolve place names or coordinates to station IDs before calling data tools. CO-OPS station IDs are numeric (e.g. 9447130 for Seattle); current station IDs are alphanumeric (e.g. ACT4176). NDBC buoy IDs are 5-character alphanumeric codes (e.g. 46041). Two axes are reported separately: `capabilities`/`type` describe the data products a station serves (tide, current, water_level, met, current_profile), while `platform` is the NDBC physical classification (buoy, fixed, oilrig, dart, tao, usv, other). CO-OPS stations carry no platform class. Provide latitude and longitude together for proximity search, or query/state for name-based search — both may be combined. Note: CO-OPS current stations are cataloged by monitoring capability, not prediction availability. If noaa_marine_get_currents returns no_predictions for a station, try the next nearest current station.
    Connector
  • Fetch a public HTTPS URL and answer a specific question about its content. Lean mode — no bundle stored. Use when you have a precise question about a web page. For a broad summary, use url.summarize. For multi-document Q&A, use collection.ask instead. Returns: { url, answer, answer_cited: { value, confidence, citations[] }, confidence: "high"|"medium"|"low", truncated } Example prompts: - "What is the refund policy at https://docs.example.com/policy?" - "Look at [URL] and tell me what the delivery terms are." - "Answer this question based on the content of [URL]: [question]."
    Connector
  • Web search and webpage extraction for AI agents — returns clean, LLM-ready markdown (deduplicated, with source URLs), not raw HTML. Give 'query' to search the web or 'url' to scrape and extract a page into markdown ready to drop into a prompt. Powered by Jina Reader. Price: $0.05 per call (x402 payment, USDC on Base mainnet). Web search and webpage extraction for AI agents, returned as clean LLM-ready markdown with source URLs. Give 'query' to search the web or 'url' to scrape and extract a page. For research and RAG agents.
    Connector
  • Post content as a Presence identity on a given platform. Requires an attached session with valid auth cookies. Platforms: x | instagram | linkedin | reddit | discord | telegram | web. CALL FORMAT: presence_post({ identity_id: 'uuid', platform: 'x', content: 'Hello world 🚀' })
    Connector