"A search for memes or internet memes" matching MCP tools:

• search_memes

  Helium MCP Server - News, Markets & AI

  Search Helium's meme database by text (OCR + caption). Returns matching memes ranked by relevance. Each result includes: - id, caption, ocr (text extracted from the image) - image: full URL to the meme image - source: origin platform (e.g. 'reddit') - num_likes: likes/upvotes on the original post - date, is_video, rank Args: query: Search keywords (required). Matched against OCR text and captions. limit: Max results (1-100, default 20). days_back: Only include memes from the last N days. 0 means no date filter (default).

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• search_text_in_image

  MemeStack

  Search for images by the text written or printed in them (OCR). Different from regular search — only matches the text_in_image field, not captions or tags. Use this to find screenshots of specific quotes, signs, watermarks, or memes with specific embedded text.

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• browse_by_category

  MemeStack

  Get a category and its featured images. Categories group related tags (e.g. "charts", "memes", "lightning-network").

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• categories

  Coinmarketcap

  List meta-categories (DeFi, L1, NFTs, Memes, …).

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• get_inflections

  slavonic

  Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).

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• latin_get_inflections

  hub

  Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).

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• slavonic_get_inflections

  hub

  Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).

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• estimate_market

  Ground Truth - First Call Activation

  Search npm or PyPI to estimate how crowded a package category is before you claim that a market is empty, niche, or competitive. Use this when you have a category or search phrase such as 'edge orm' and want live result counts plus representative matches. Do not use it to compare exact known package names or to infer adoption from downloads; it reflects search results, not market share. Registry responses are cached for 5 minutes.

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• gdelt_list_tv_stations

  gdelt-mcp-server

  List all television stations available for TV search with their market, network, monitoring start date, and monitoring end date. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.

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• get_inflections

  latin

  Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).

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• global_indicator

  dynamic-feed

  A flagship development statistic from Our World in Data: the latest value for a country plus a short multi-year trend, with full source attribution. ONE source, MANY indicators (breadth) — CO2 per capita, population, fertility, urbanisation, GDP-per-capita (a development stat in PPP, NOT a market price), extreme poverty, R&D spend, Human Development Index, literacy, internet access, electricity access. Distinct from `global_macro` (World Bank): OWID adds the long-run development + climate set. `indicator` = a slug/alias from the curated allowlist (default "co2-emissions-per-capita"; aliases: co2, pop, gdp, hdi, literacy, internet, poverty, fertility, urban, rd) — call indicator="list" for the full menu. `country` = ISO-3 code (AUS, USA, CHN, GBR, IND, …); omit for the World aggregate. Source: Our World in Data (ourworldindata.org) — OWID's processing layer is CC BY 4.0, keyless; every response carries BOTH OWID's attribution AND each underlying producer's citation + licence. Only indicators whose underlying sources are cleared for commercial re-serving (CC BY / CC BY IGO / CC0 / public domain) are served — a fail-closed runtime gate refuses any non-redistributable indicator. Annual-ish statistics, not a live-telemetry feed. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.

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• diff_attack_paths

  cloud-pathfinder

  DIFFERENTIAL attack-path analysis for a change to Infrastructure-as-Code — the CI/CD gate. Give it the IaC BEFORE and AFTER a change (e.g. a pull request's base and head trees, each a map of filename→content) and it builds the full resource graph + runs the internet→crown-jewel reachability search on BOTH states, then reports exactly what the change did to your attack surface: which breach chains it INTRODUCES (e.g. 'this PR opens a NEW Internet→admin route via a newly-public security group + an over-broad IAM grant'), which it ELIMINATES, and which it AGGRAVATES (makes more exploitable). Returns an INTRODUCES_BREACH / REDUCES_RISK / NEUTRAL / MIXED verdict — the single check to wire into PR review so a change that opens a path to your data/secrets/admin is caught before merge. This is something a per-file linter or a single-state scan cannot answer: it needs both graphs and a semantic cross-state path match. Heuristic static analysis of declared IaC.

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• create_workload

  Control Plane

  Create a serverless/standard/stateful workload — or a SCHEDULED JOB by setting `type: "cron"`. Define the container(s) in the typed `containers[]` array (the only way — there are no flat image/cpu/port fields) and scaling in the single `autoscaling` block. For a cron workload set `type: "cron"` and a required `schedule` (plus optional job policy); autoscaling/capacityAI/timeoutSeconds/debug do not apply to cron and are rejected. Decide reachability IN THIS CALL: a user-facing service needs `public: true` (or an explicit `firewallConfig`); omitted = deny-by-default, no internet access — do not create closed and patch the firewall afterward. Use the production-grade defaults from get_cpln_rules: explicit readiness + liveness probes, minScale ≥ 2 for user-facing services, CPU/memory sized to the runtime (NOT the platform defaults of 50m / 128Mi), autoscaling metric matched to traffic shape, never scale-to-zero unless the user asked for it by name. Type and name are immutable — changing either = delete + recreate. For databases / caches / queues / brokers / search / gateways / WAF / S3-compatible storage, propose the matching Template Catalog entry first (see get_cpln_rules). Recommended reading before first use: get_cpln_skill("workload") — the runbook for this tool family (read once per session).

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• openalex_search_entities

  openalex-mcp-server

  Search, filter, sort, or retrieve by ID. Covers all OpenAlex entity types (works, authors, sources, institutions, topics, keywords, publishers, funders). Pass `id` to retrieve a single entity. Otherwise, use `query` and/or `filters` for discovery. Supports keyword search with boolean operators, exact phrase matching, and AI semantic search. Use openalex_resolve_name to resolve names to IDs before filtering. Searches and ID lookups return a curated set of fields by default; pass `select` to override with specific fields, or `["*"]` for the full record.

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• get_memes

  imgflip

  Browse the 100 most popular meme templates. Returns template name, image URL, dimensions, and text box coordinates. Use template IDs with caption_image to create memes.

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• job_alert_subscribe

  FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT

  Subscribes the authenticated user to job alerts for a specific saved job search. **Input:** - `job_search_id`: The job search identifier to subscribe to (required). Accepts either the job search UUID or the composite job ID returned by `jobs_search` / `jobs_details` (format: "seo_id--job_search_id"). - `frequency`: Alert frequency — one of daily, weekly, monthly (optional, defaults to "weekly") **Output:** Returns the created or updated job alert with id, status, and frequency. Idempotent: calling this tool for an already-subscribed search updates the existing alert without creating a duplicate.

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• norse_get_inflections

  hub

  Fetch the full declension (nominals) or conjugation (verbs — active AND mediopassive) tables for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).

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• save_search

  FundingLandscape

  Save a search query for email alerts. When new opportunities match, the user receives daily or weekly email notifications. The FREE tier includes 1 saved search with weekly email alerts, so any user can set one up without a paid plan. RECOMMENDED WORKFLOW: 1. Call list_saved_searches first to check for existing/similar searches 2. If a similar search exists, offer to update_saved_search instead 3. Search with search_grantsplus or search_procurement first to validate the query returns good results 4. Save with appropriate filters based on what the user described FILTER TIPS: - Use itemTypes ["grant"] for grants/fellowships or ["procurement"] for contracts/RFPs - Use sourceTypes ["federal"] for federal opportunities only - Use geography ["CA"] for California-specific (includes national opportunities) - For SAM.gov-specific filters (NAICS, set-asides), use sourceContext - Keep filters broad for notifications - better to get a few extra than miss one PLAN LIMITS: Free: 1 saved search, weekly email alerts. Plus ($29/mo): 10 saved searches, daily or weekly alerts. Pro ($79/mo): 25 saved searches, daily or weekly alerts. Does not count toward your monthly searches.

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• search_indexed_documents

  RChilli MCP Hub

  Keyword-search the user's ALREADY-INDEXED corpus of resumes or JDs and return matching documents (RChilli Search Engine). Requires documents to have been indexed beforehand. Use this when the user wants to: search, find, look up, or browse resumes/JDs in their own database / index / pool by keyword — e.g. "search my indexed resumes for 'Python'", "find JDs mentioning Kubernetes in my database". Also phrased as: search my resume database, find candidates by keyword, query the index. Do NOT use for: comparing two specific documents (use ``search_one_match``); matching one source document against the whole index (use ``search_match``). Args: keyword: Search keyword. indextype: Index type to search — ``Resume`` (default) or ``JD``. userkey: RChilli userkey. Leave blank to use the authenticated session key. subuserid: Sub-user identifier for multi-tenant isolation.

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• worker_create

  Vaaya

  Create a WORKER: a standing job Vaaya runs on a schedule to watch the web and surface only what's NEW or changed, then notify. General-purpose — use it for anything that needs a constant eye on the internet. Each worker is named by its `kind`: a signaling system → 'signal worker', a job hunt → 'job search worker', anything else → 'custom worker'. Pass `query` (plain-English: what to watch for), `cadence` (how often), and `kind` (signal|job_search|research|custom — drives the name). Optional: `name` (override the auto name), `sources` (array of URLs — give URLs to watch those exact pages for changes; omit to do a recency web search), and `notify_slack_webhook` (a Slack incoming-webhook URL to ping with new findings). Findings appear on the Workers dashboard, deduped so you only hear about each thing once. Creating is free; each scheduled run spends from the user's balance under their workers daily budget. Returns { ok, worker_id }.

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