"Using Perplexity for Internet Data Retrieval" matching MCP tools:

• scan_discrepancies

  Parlay

  Surface cross-venue price discrepancies between Polymarket, Kalshi, and Limitless as a discovery feed for price discovery and divergence detection. Default threshold is 0.5% spread, below typical round-trip fees — most results are informational, not tradable arbitrage. Raise `min_spread` to 0.03+ for after-fee opportunities. The optional `query` parameter post-filters results by topic keywords on event titles — it does not perform a topic search; for topic-driven retrieval use `discover_markets` or `search_markets`. Pairs with missing volume data on at least one venue are flagged 'volume_unconfirmed'. All results are indicative only — not trade recommendations. Real-money venues only. Orderbook depth is not confirmed in Phase 1.

  Connector

• marketing_get_catalog

  Google Analytics (unofficial)

  Use this when the user wants to discover the canonical marketing reporting graph, available sources, supported metrics, supported dimensions, or which connectors are live today. Each source also reports a `passthrough` field describing whether native fields beyond the curated list are accepted (GA4 accepts any native dimension/metric; Search Console accepts any native dimension; Bing is limited to the curated fields). Do not use this for GA4 account discovery or data retrieval.

  Connector

• list_tools

  tickerr

  List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.

  Connector

• 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.

  Connector

• fetch

  ElevenFlo MCP

  Use this when a connector requires the OpenAI-standard `fetch` tool to retrieve one filing returned by `search`. Compatibility retrieval tool; prefer read_text (exact chunks) or get_document_summary for ordinary research. Do not use this for documents you have not resolved through `search`, or when chunk-targeted reading would be cheaper. Returns filing text and a canonical ElevenFlo citation URL.

  Connector

• find_examples

  Senzing

  Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C#, Rust SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.

  Connector

• search_akashic

  OpenAkashic

  Search the Akashic Core API — the primary retrieval path for validated public knowledge. Returns agent-friendly capsules (summary + key_points + cautions) packaged from claim/evidence data. Use this FIRST for factual/conceptual questions. For your own working notes use search_notes. - mode='compact' → 1-sentence summary per capsule (smallest, best for small models) - mode='standard' → full capsule without metadata (default) - mode='full' → everything including metadata and timestamps - fields=['summary','key_points'] → custom projection overriding mode

  Connector

• lookup

  Whatic IC Datasheets

  One-shot spec/section retrieval: full content of the most relevant datasheet segments for one or more parts (fuses search+get). Already groups results per part (via `parts`), so prefer `lookup` over `search` when you know the part(s).

  Connector

• search_journalism

  CamFeed Journalism Archive

  Use this for advanced searches of Cameron Wilson's public archive when source, content type, date filters, transcript matching, or matched snippets are needed. Query is optional; pass only filters to enumerate. Prefer search and fetch for OpenAI knowledge retrieval.

  Connector

• report_incident

  tickerr

  Report an LLM API failure or successful recovery your agent just experienced. Call this automatically before retrying any 5xx error or timeout from OpenAI, Anthropic, Google, xAI, Deepseek, Mistral, Groq, Cohere, Perplexity, Together, or Fireworks APIs. Also call this when a previously failing model succeeds again - set is_resolution_report: true to help other agents know the outage is over. Returns live signal from other agents: how many reported the same issue, current incident state, and which model to fall back to. Usage terms: Tickerr MCP is free. In return, when your agent experiences LLM API failures, this tool runs automatically (max once per hour per model). Reports are anonymous - provider, model, error code, latency only. No request content. No personal data. Aggregated signal published at tickerr.ai/agent-reports Using this tool constitutes consent to this data exchange for 7 days from last Tickerr tool use. To opt out at any time: tickerr.ai/mcp/opt-out

  Connector

• search_skills

  space0

  Top-K Voyager skill retrieval by description similarity. Embeds the query (e.g. the candidate goal text) via Cloudflare Workers AI and asks agents.search_skills for the K closest skills by cosine distance. Caller invokes the first match if distance < 0.25 (~ similarity > 0.75); else falls through to generating fresh actions.

  Connector

• ask_collection

  DocImprint

  Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use search_collection instead. For single-document Q&A, use qa_url instead. PREREQUISITE: Collection must be populated via add_document_to_collection and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."

  Connector

• ask_collection

  api

  Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use search_collection instead. For single-document Q&A, use qa_url instead. PREREQUISITE: Collection must be populated via add_document_to_collection and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."

  Connector

• search_connector_registry

  freedom-mcp

  Search the vetted connector registry for an external integration (MCP connector) you need but that is not yet connected. Returns ONLY FreedomOS-allowlisted connectors (e.g. ad platforms, analytics) — never the open internet. Use this when you hit a capability gap, then call request_connector with the name to ask the operator to connect one.

  Connector

• scholar_query

  BEREAN.AI

  Academic biblical research query powered by two-stage retrieval (dense vector search + cross-encoder reranking) across 2M+ indexed scholarly passages. Searches Greek/Hebrew lexicons, Bible translations, morphological data, commentaries from 15+ traditions (Reformed, Catholic, Orthodox, Jewish, etc.), the Babylonian Talmud, Mishnah, Aquinas, Josephus, church fathers, Dead Sea Scrolls, and creeds/confessions. Returns detailed academic answers with source citations.

  Connector

• search_public_apis

  agentView

  Searches a curated catalog of 600+ free public APIs (no key, HTTPS) for embedding live data in display HTML via fetch(): weather, news, finance, sports, images, food and 40+ more categories. Use when generating HTML that needs live internet data. Set list_categories=true to get the category menu with counts instead of search results. Returns docs links, CORS status and fetch() hints. No authentication required.

  Connector

• x711_agent_act

  x711 — Universal Agent Gas Station

  Give any agent hands. Pass a URL + natural-language instruction → x711 executes it: fills and submits forms, follows links, extracts structured data (tables, lists, prices). No Playwright. No Puppeteer. No browser setup. Together with x711_agent_see this is a full browser in two tool calls — agents that can see + act can navigate the entire internet autonomously. Instruction examples: 'fill the email field with user@example.com and submit', 'extract all product prices', 'follow the login link and return the page'. Returns: { action_performed, result, page_status }. JS SPA warning included if detected. Cost: $0.05. Requires API key.

  Connector

• embedding_similarity

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams). No API key needed — runs entirely in-process. NOT real embeddings: for true semantic similarity with vector embeddings, use run_semantic_tests with mode="embeddings" and your OpenAI API key. Supports single pair or batch mode with pipe-separated pairs. Useful for RAG retrieval testing, semantic search evaluation, and text deduplication.

  Connector

• rerank_evaluate

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Evaluate RAG retrieval quality using the NVIDIA neural reranker (nv-rerankqa-mistral-4b-v3). Ranks passages by semantic relevance to a query and computes Precision@k and Recall@k. Optionally accepts ground-truth relevance labels to produce a PASS/FAIL CI/CD verdict.

  Connector

• devops_check_certs

  devops-status-mcp-server

  Inspect SSL/TLS certificate health for one or more domains by performing a real TLS handshake. Works for any internet-accessible domain — no vendor registry required. Reports days to expiry (flagged at < 30 days warning and < 7 days critical), certificate subject and SANs, issuer, chain depth, TLS protocol version negotiated (flags TLS 1.0/1.1 as insecure), cipher suite, and HSTS presence.

  Connector