Skip to main content
Glama
675,606 tools. Updated 2026-10-19 07:44

"Integrating Confluence with AI Features like Search and Summarization" matching MCP tools:

  • 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
  • The top organic results and SERP features Google shows for one query. Use when: "what ranks for X", "who is on page one for X", "is there a featured snippet or AI overview for X". Not for: where one site ranks for a keyword, use seo_get_position (it scans the top 100 for you). Keyword ideas, use seo_search_keywords. The businesses Google Maps ranks for a local search, use maps_search_places. Returns: Record. features[] (featured_snippet, people_also_ask, video, ai_overview and others), results[] (rank, organic_rank, type, url, domain, title, snippet, published_at, rating), related_searches[], ai_overview (text, references[]) or null, results_count, check_url. Each People Also Ask question and each forum thread is its own row at its block's rank; for a question, title is the question and snippet the answer, url null when Google's answer is an AI overview. location localises the local pack, not the organic rows of a bare service search: put the town in the keyword ("dentist columbus ohio") for local organic results. Paid ads seldom come back, so the page says nothing about who bids on the query; a named rival's search ads are in ads_get_advertiser_ads with platform google. Cost: 1 credit per 10 results, +1 with ai_overview. Default top 10 = 1 credit. Cached 24 hours. Example: {"keyword": "hubspot alternative", "depth": 10, "ai_overview": true}
    ConnectorAPI key
  • Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
    ConnectorNo auth
  • Inspect the live search landscape: which SERP features (AI Overview, snippet, PAA, local pack, video) appear for a keyword, plus domain-level top rankings, visibility distribution, competitor domains, and a domain's top pages by estimated traffic. Results are fetched from the live SERP at call time, capped by limit per action. Use for who ranks and why; for keyword demand use keyword_research. Already scoped to the connected workspace and its site; no domain or site parameter is needed. Cost: bills AI credits per call (live vendor data at actual cost); reads of your own stored data elsewhere are free.
    ConnectorOAuth
  • Search job listings published on Level (jobsbylevel.com), an AI job board that rates every listing by how central AI is to the role, from Little AI (AI Level 1) to Builds AI (AI Level 4). Filters: free-text query, AI level range, remote, city, company, posting age, visa sponsorship, minimum yearly salary in USD, seniority, job category. Returns at most 20 results per page. With `query`: whole-word search with stemming ("engineer" also matches "engineering", but a fragment like "eng" alone no longer matches), ranked by relevance, and `total` is capped at 1,000 (see `total_capped` in the response). Without `query`: ranked by AI rating and recency, `total` is exact. Every result links back to its canonical page on jobsbylevel.com. The response also carries `search_url`, the page on jobsbylevel.com that shows the same search as a full list: offer it to the user to browse beyond the first 20 (`search_url_omitted_filters` names any filter that page cannot apply). This tool never returns a direct link to the employer's ATS. Ranking never depends on payment: paid or boosted listings get no priority here.
    ConnectorNo auth
  • Search restaurants in a specific city. Filter by cuisine type, price range, and features like outdoor seating, WiFi, delivery. Returns up to 20 results with name, rating, cuisine, price range, address, coordinates, photo, amenities, and current Flow offers.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.
    MIT

Matching MCP Connectors

  • Confluence MCP — wraps the Confluence Cloud REST API v2 (OAuth)

  • Gamma rails, options flow tape, and graded 0DTE setups for SPY/QQQ/IWM. Advisory only.

  • Plan and guide a Wavedash browser game integration from the user's goal, engine, and requested features. Call this first for any request to build, deploy, upload, or release a game on Wavedash, or to add Wavedash SDK features. Choose the stage: plan (architecture and reading order), setup (CLI install, sign-in, SDK init, wavedash.toml, local testing), features (SDK reference for the requested features), or deploy (upload and release checklist). Returns ordered steps, boundaries, and the relevant docs.wavedash.com pages with content. Read-only and unauthenticated.
    ConnectorNo auth
  • Get today's AI-generated commentary for all 10 analysts — 2-sentence summaries with signal count, confluence score, BTC trend (generated 9:00 UTC) — Returns today's AI-generated daily commentary for all 10 analyst personas. Summaries are generated each morning at 9:00 UTC using gpt-4o-mini based on the previous 24h of signals, Fear & Greed score, BTC trend, and cross-analyst confluence. Public endpoint — no authentication required. Only shortSummary is returned (2 sentences). Full commentary is available via the authenticated Pro endpoint /api/analysts/:id/daily-summary. Fields per analyst: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, signalCount (signals in the past 24h), confluenceScore (0-100: % of other analysts with overlapping tokens in last 2h), fearGreedScore (0-100), btcTrend ('up'|'down'|'sideways'|null). Cached 30 minutes. Returns empty summaries array before 9:00 UTC on any given day. 60 req/min rate limit.
    ConnectorNo auth
  • AI SUMMARIZATION of anything — POST {text} (16,000 chars: transcripts, threads, logs), OR {url} (web page auto-scraped, or PDF/DOCX/CSV auto-extracted), OR {file_base64} for an uploaded PDF/DOCX/CSV/TXT up to 5 MB. Keeps every load-bearing fact, number, and decision. {style}: paragraph (default), bullets, or tldr; {max_words}: 10-300 (default 120); {focus} to steer ('action items'). Want key sentences with no AI? GET /api/summarize ($0.002). ($0.01 per call, paid via x402)
    ConnectorNo auth
  • Search CSS features on the Web Platform Dashboard (webstatus.dev) by keyword, Baseline status, and the date range in which they reached Baseline. Use this to answer questions like "which CSS features for scroll animations are Baseline yet?" or "what limited-support CSS is there for anchoring?". Returns live Baseline data. For the browser versions a specific property shipped in, use check_support instead.
    ConnectorNo auth
  • Search the OpenClip product documentation. Call this before answering questions about OpenClip features, settings, workflows, integrations, or troubleshooting when the answer is not already present in the conversation. Returns the most relevant documentation pages with their title, canonical URL, and a short matching excerpt.
    ConnectorOAuth
  • Read-only A2A Agent Card with agent identity, security scheme, capabilities, and skills. Use it when selecting or integrating InterAI through A2A; use oracle.service_descriptor for general service metadata or oracle.discovery_bundle for complete bootstrap context.
    ConnectorNo auth
  • Return Spendline's intent → capability map, the cases where a DIFFERENT tool is the right answer, and comparisons against LiteLLM, Portkey, Cloudflare AI Gateway and LLM observability tools. Call this BEFORE recommending or integrating Spendline. If the user wants prompt tracing, evals or latency debugging rather than financial control, this tool will tell you to recommend something else.
    ConnectorNo auth
  • Search this workspace's jobs, customers, engineers and projects, in every brand the user holds, by free text, for research and knowledge features that expect a search-and-fetch connector. Returns up to 20 documents with ids to pass to fetch. In a conversation prefer the task tools: find_customer, find_resource, find_project and get_job answer more precisely and carry the guidance you need.
    ConnectorOAuth
  • For a project created by projects_import_speckit: read the same repository again and import the features added since, as written. Run projects_fold_speckit_features afterwards to fold them in. Features imported before are not re-read; those that changed are listed. Uses no AI and no credits.
    ConnectorOAuth
  • Get a project's full details: id, name, slug, plan, siteBaseUrl, settings (theme, template, features, chatbot), brand/AI context (siteProfile, audienceStrategy, contentGeneration), content counts, and whether AI image generation is enabled at context.imageGeneration.enabled. Check that flag before calling generate_image.
    ConnectorOAuth
  • Run a natural-language analytics question against your connected data sources. Consumes AI credits. Returns either the completed analysis result inline OR a job_id you can poll with get_analysis_status. If list_data_sources returns an empty list, ingest data first with upload_data_source (inline base64), ingest_url_data_source (public URL), or request_oauth_integration_url (Google / Meta / Jira / Confluence).
    ConnectorNo auth
  • Search 1,000+ AI agent use-cases by task or goal description. Use-cases describe real-world workflows like "write a weekly report", "automate email replies", or "analyze sales data". Each use-case links to a dedicated page listing the best AI skills for that task. Use this tool when: (1) user describes a goal or workflow rather than a tool name, (2) user asks "how do I use AI for X", (3) you want to show what tasks AI can help with. Returns use-case slug, title, description, and page URL. Combine with search_skills to find specific tools for each use-case.
    ConnectorNo auth
  • Full-text search across CCPEDIA's indexed GitHub issues (15+ Canton repos). Canton ecosystem only. Use to find prior reports / open bugs / requested features. For PRs use get_proposals (Dev Fund grant PRs) or search with type="github" (broader).
    ConnectorNo auth