"MCP with RAG capabilities" matching MCP tools:

• strale_execute

  Strale - 290+ API capabilities for AI agents

  Executes a Strale capability by slug and returns the result. Use this when you need to perform any verification, validation, lookup, or data extraction from the 271-capability registry. Call strale_search first to find the right slug and required input fields. Returns a result object with the capability output, quality score (SQS), latency, price charged, and data provenance. Five free capabilities work without an API key (10/day limit). Paid capabilities debit from the wallet — check strale_balance first for high-value calls.

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• search_mcp_servers

  agent-tools (x402 + MCP + A2A directory)

  Find MCP servers in the directory. Searches the standalone MCP directory (PulseMCP / official MCP registry import) unioned with x402 services that also expose an MCP endpoint. Returns normalised entries with a ready-to-use streamable-http `call_hint.mcp.url`. Args: intent: Natural-language description of the tool/capability needed. top_k: Max servers to return (1-20). chain: Optional payment-network filter for paid MCP servers. require_healthy: When true, only return servers marked health=ok.

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• encode

  Fillin

  Bring your own text -> the cheapest substrate for your reader — the MCP twin of HTTP POST /v1/encode. Not a search-result rendering trick: this is Glyph as a language anyone can speak. Give it a tool result, a RAG chunk, a document — it comes back as whichever form (dense photo-glyph image or plain text) is genuinely cheaper for your reader model's token billing, with the honest manifest attached. The trailing JSON block always carries a `selection` object {substrate, reader, reader_class, tier, rationale, estimates} so the choice is auditable from the token math — the same object the HTTP route returns. Billed at the flat query rate regardless of which substrate is chosen — text and glyph cost the same here, unlike retrieve_auto's answer substrate.

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• start_here

  SaSame MCP Observatory + Gold Rush Town

  START HERE. SaSame is one modular MCP Factory. Call factory_stations to inspect all 21 canonical station capabilities, then factory_start to enter the single lifecycle. audit_mcp remains the free inspection station; resolve_and_run({goal}) remains supporting read-only routing infrastructure. Measurement is status only, never endorsement.

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• sap_update_agent

  SAP MCP Server

  Local-signer-only: update the connected wallet SAP agent using SDK AgentModule.update. Hosted accountless SAP MCP rejects this direct write before x402 payment; hosted users should call sap_payments_update_agent from the local sap_payments bridge. SAP MCP context: Use this after sap_register_agent to refresh name, description, capabilities, pricing, supported protocols, x402 endpoint, or metadataUri. For NFT-backed identity changes, update the Metaplex asset first when needed, then point the SAP agent metadataUri at the current metadata document.

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• service_info

  x402image

  Free. Returns x402image service metadata and the list of paid image tools with their per-call USD prices. No payment or input required. Call this first to discover capabilities and pricing.

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• list_capabilities

  discovery

  List the middleware capabilities Devadex indexes (dialogue, auth, inventory, networking, memory, …) with how many middleware exist for each, plus the platforms available. Use this to pick a `capability`/`platform` for search_middleware.

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• feedback-submit

  hjarni

  Submit feedback about Hjarni itself — confusing tool descriptions, missing capabilities, unexpected errors, friction, or praise. Use this when something about the MCP server, a tool, or the product behavior is worth flagging to the maintainers. Do NOT use this for the user's own notes or knowledge — those belong in notes-create. Required: category ('bug'|'confusing'|'missing_feature'|'friction'|'praise'|'other'), message (string, what's wrong and ideally what you'd expect instead). Optional: severity ('low'|'medium'|'high', default 'medium'), tool_name (the MCP tool the feedback is about, e.g. 'notes-update'), context (JSON-encoded string with any extra structured data — error excerpts, the arguments you tried, the workflow that broke).

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• markdown

  mercury-x402-mcp

  URL → clean, LLM-ready markdown (boilerplate/nav/ads stripped, headings + lists + links preserved) with a signed provenance receipt pinning the markdown to its source — the RAG-ingest primitive. Deterministic (no LLM): same URL + same source bytes ⇒ byte-identical markdown. — $0.005/call

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• get_adcp_capabilities

  Trillboards DOOH Advertising

  [AdCP] Get the seller agent's AdCP capabilities and supported protocols. Returns the full capability declaration for this AdCP DOOH seller agent. This tool does NOT require authentication. WHEN TO USE: - Discovering what protocols the seller agent supports (Signals, Media Buy) - Understanding available audience signals and data methodology - Getting MCP endpoint and discovery URLs RETURNS: - supported_protocols: ['signals', 'media_buy'] - inventory: DOOH format details, network size - audience_data: signal list, methodology, refresh rate - pricing: model, currency, floor CPM - discovery: well_known_url, mcp_endpoint

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• strale_getting_started

  Strale - 290+ API capabilities for AI agents

  Lists the free capabilities available without an API key and explains how to get started. Call this on first connection to see what you can do immediately. Returns 5 free capability slugs (email-validate, dns-lookup, json-repair, url-to-markdown, iban-validate) with descriptions, example inputs, and instructions for accessing the full registry of 271 paid capabilities. No API key required.

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• search_packs

  Pipeworx

  Search packs by keyword across names, descriptions, and tools (e.g., 'weather', 'translate'). Returns matching packs with details. Use to find specific capabilities.

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• split_chunks

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

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

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• 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.

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• hallucination_check

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

  Word-overlap based hallucination check: verifies if an LLM answer's words and numbers appear in the provided source/context. Fast, deterministic, no API key needed. Limitations: not semantic — does not understand synonyms or paraphrases. For true semantic grounding, use run_semantic_tests with embedding mode. Essential for quick RAG accuracy testing.

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• 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.

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• mainstreet_catalog

  mainstreet

  List all MainStreet API endpoints (free + paid with prices). Use to discover available capabilities of this oracle.

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• project_select

  Spala Public MCP

  Compatibility alias for project_connect. AUTH REQUIRED; IDEMPOTENT PROJECT CONNECTION WRITE. Enables project MCP when needed and returns the same workspace-only exact-URL binding plan with one-time installer bootstrap. Agents must never infer project MCP URLs from subdomains or hosts or install project MCP globally.

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• ateam_bootstrap

  ateam-mcp

  REQUIRED onboarding entrypoint for A-Team MCP. MUST be called when user greets, says hi, asks what this is, asks for help, explores capabilities, or when MCP is first connected. Returns platform explanation, example solutions, and assistant behavior instructions. Do NOT improvise an introduction — call this tool instead.

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• tascan_list_agents

  TaScan

  List all registered AI agents with their capabilities, inbox IDs, and status. Like reading input labels on a video matrix — discover which agents are available and what they can do before dispatching work.

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