"Information or Uses for a Rag" matching MCP tools:

• dataset.exportA

  FlexOrch MCPA

  Download all records from a built dataset as text (Step 5 — final step). Returns the complete dataset content as a UTF-8 string directly in the response — no file download or separate URL needed. Call get_job_status after build_dataset and wait for status='completed' before calling this tool. Use the dataset_id from that completed response. Format guide: jsonl = LLM fine-tuning, rag = LangChain/LlamaIndex chunks, csv = spreadsheets, md = human-readable, xml = structured interchange. Binary formats (parquet, hf) cannot be returned via MCP — export them from the FlexOrch dashboard directly. Args: dataset_id: Dataset ID from the get_job_status completed build response. format: Text export format — jsonl, csv, json, md, xml, rag. Default: jsonl.

  ConnectorNo auth

• get_tech_stackA

  Makuri Showcase (CogniLedger)A

  Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

  ConnectorNo auth

• get_projectA

  RoutebaseA

  Get detailed information about a project, including its environments. Use this when you already have the project id; to browse the organization's projects use list_projects. Requires organization context (call set_context first). If no projectId is given, uses the active project context.

  ConnectorAPI key

• fetch_latest_syntaxA

  Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)A

  Curated working imports, snippets, and migration notes for one topic (agents, rag, wallet, payment, trustlines, …). Use when writing or migrating a fragment; unknown topics fall back to related doc chunks instead of failing. Prefer fetch_working_example for a complete runnable file, search_ai_framework_docs for open-ended lookup, and diagnose_framework_error for exceptions. Paid tools/call: $0.001 USDC or 1000 drops XRP; read-only catalog.

  ConnectorNo auth

• fetch_working_exampleA

  Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)A

  Fetch one complete runnable file (filename, install/run, source) for a goal such as agent, rag, chat, payment, or rlusd. Use when fetch_latest_syntax snippets are too small to execute. matched=false means no catalog example — then fetch_latest_syntax. Paid tools/call: $0.001 USDC or 1000 drops XRP; does not execute the example.

  ConnectorNo auth

• get_contentA

  Opedd — Licensed Content for AIA

  Retrieve the full body of a licensed article using a buyer API token (opedd_buyer_live_* canonical; opedd_buyer_test_* for sandbox). Requires OPEDD_BUYER_TOKEN env var (create one at opedd.com/licenses after purchasing). Works for per-article Human republication licences (token scoped to that article) and licence orders: AI answers monthly and client display return full text; AI answers pay-per-request always returns a snippet (up to 300 words or 25% of the article, whatever delivery_mode is asked). Articles the publisher stopped licensing answer 403 ARTICLE_EXCLUDED. The publisher must have content delivery enabled and must have pushed content for the article. Phase 11 M2 RAG-extended shape: response includes 7 RAG-essential metadata fields — author, language, word_count, content_hash, image_urls, canonical_url, tags. On pre-2026-05-14 historical articles, optional fields (author/language/image_urls/canonical_url/tags) may be NULL. NULL means 'data unavailable for this article', NOT 'explicitly empty' — treat as data-missing when filtering; do not interpret as anti-match.

  ConnectorNo auth

• get_testing_guidelinesA

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

  Query the IA-QA methodology knowledge base. Returns structured testing guidelines, assertion strategies, thresholds, best practices, and relevant MCP tools for a given topic. Call without a topic to list all available topics. Topics: llm-unit-testing, rag-pipeline, prompt-stability, prompt-ab-testing, embedding-quality, eval-framework, semantic-testing, auto-testing, security, api-testing, ci-cd, multimodal, llm-data-security, agent-observability, pro-tips, learning-paths, golden-dataset, selector-drift, qa-recipes, playbooks. Not sure where to start testing an LLM, RAG pipeline or agent? Call without a topic (or with "start-here"): it maps what you are testing to the tools to call and the output field to gate CI on. A plain question such as "how do I test my RAG" also resolves to the right topic.

  ConnectorNo auth

• get_skillA

  LoopingAgentA

  Laurent Knauss' technical skills, grouped by domain (Agentic AI, RAG & Voice AI, Software engineering & Cloud, Automation & tooling). Each skill has a label and an optional short detail. Use this to assess fit for AI/agentic development roles.

  ConnectorNo auth

• batch_scrapeA

  PreteWorks APIA

  Fetch up to 10 public URLs and return each as clean Markdown, in one call — for research/RAG over several pages at once. Private/internal hosts are blocked.

  ConnectorNo auth

• goodrx_drug_infoA

  Crawlora MCPC

  Get a drug's GoodRx information page; returns sections for uses, side effects, pros and cons, pharmacist tips, warnings, dosage, interactions, contraindications, alternatives, images, and references, plus FAQs. Use for medication facts rather than prices (goodrx_drug_prices). Set audience=pets for the cat and dog page of drugs listed by goodrx_pet_medications.

  ConnectorNo auth

• goodrx_drug_infoA

  Crawlora MCPB

  Get a drug's GoodRx information page; returns sections for uses, side effects, pros and cons, pharmacist tips, warnings, dosage, interactions, contraindications, alternatives, images, and references, plus FAQs. Use for medication facts rather than prices (goodrx_drug_prices). Set audience=pets for the cat and dog page of drugs listed by goodrx_pet_medications.

  ConnectorNo auth

• citation_enhanced_citation_lookupA

  CourtListenerB

  Enhanced citation lookup combining citeurl parsing with CourtListener data. This tool first uses citeurl to parse and validate the citation format, then optionally queries the CourtListener API for additional case information.

  ConnectorNo auth

• embedding_similarityA

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

  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.

  ConnectorNo auth

• log_calcA

  calc.engineerA

  Compute logarithms of a positive number in any base. Returns the custom-base logarithm, natural logarithm (ln), common logarithm (log10), and binary logarithm (log2). Useful for signal processing (decibel calculations), information theory (entropy in bits), pH chemistry, and general scientific computation. Uses the change-of-base formula log_b(x) = ln(x) / ln(b). Feeds into exponent_calc for inverse operations and scientific_notation for order-of-magnitude analysis.

  ConnectorNo auth

• rank_african_foodsA

  AfriResolveB

  Search and rank African food records by relevance across names, aliases, categories, countries, regions, descriptions, uses, and nutrition information.

  ConnectorNo auth

• lookup_icd10A

  mcpB

  Look up an ICD-10-CM diagnosis code or search by keyword. Input is either an exact code (e.g. 'E11.21') or a free-text description phrase ('type 2 diabetes with nephropathy'). Returns either the matching code + description or up to 20 candidate matches. Use when a clinical note uses non-standard phrasing and the correct code is needed for billing. WHEN TO USE: User asks about a specific ICD-10 diagnosis code or wants RAG-search over ICD-10 for a condition name. WHEN NOT: For the matching CPT codes (cpt_to_icd_mapper). For code validation against a payer (code_validation). EXAMPLES: - Find ICD-10 for hypertension: `{"query":"essential hypertension"}`

  ConnectorNo auth

• split_chunksA

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

  Split text into chunks of at most N tokens (cl100k_base: ~4 chars/token) with optional overlap. Designed for RAG ingestion pipelines.

  ConnectorNo auth

• token_budget_calculatorA

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

  Plan token allocation across system prompt, user input, context/RAG chunks, and expected output. Warns if budget exceeds model context window. Supports 25+ models.

  ConnectorNo auth

• build_rag_promptA

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

  Assemble a complete RAG (Retrieval-Augmented Generation) prompt from retrieved context chunks and a user query. Handles token budgeting, citation numbering, system instruction injection, and source attribution.

  ConnectorNo auth

• web.url.rag_chunksA

  1cent Web Intelligence for AI AgentsA

  Split readable text into deterministic bounded RAG chunks. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.

  ConnectorNo auth

• chunk_textA

  Bristlecone Logic UtilitiesA

  Partitions raw text documents into uniform sliding-window segments with configurable character overlap. Returns an array of formatted text chunks. Use when preparing unstructured documents for vector database embeddings and RAG retrieval pipelines. Do not use for syntactic token counting or semantic sentence segmentation.

  ConnectorNo auth