Inference, embeddings and prompt execution. Every tool below was read from that server's own
tools/list, so the name and arguments are what the server exposes, not what
its description claims.
| Tool | Server |
|---|---|
| list_llm_visibility_promptsanswers FREE (no credit cost): List tracked buying prompts and their latest answer evidence in the active Synter workspace. [effect=read; scope=intel:read] arguments: project_id, search, active_only, limit | io.github.Synter-Media-AI/synter-ads io.github.synter-media-ai |
| discover_llm_visibility_promptsanswers Discover and generate high-intent B2B commercial buying prompts across Evaluation, Direct Comparison, Alternatives, Pricing/ROI, and Feature Verification intent stages for your brand and competitors. [effect=read; sco... arguments: project_id, domain, competitors, icp_persona, auto_seed | io.github.Synter-Media-AI/synter-ads io.github.synter-media-ai |
| list_llm_visibility_promptsanswers FREE (no credit cost): List tracked buying prompts and their latest answer evidence in the active Synter workspace. [effect=read; scope=intel:read] arguments: project_id, search, active_only, limit | io.github.jshorwitz/synter-ads io.github.jshorwitz |
| discover_llm_visibility_promptsanswers Discover and generate high-intent B2B commercial buying prompts across Evaluation, Direct Comparison, Alternatives, Pricing/ROI, and Feature Verification intent stages for your brand and competitors. [effect=read; sco... arguments: project_id, domain, competitors, icp_persona, auto_seed | io.github.jshorwitz/synter-ads io.github.jshorwitz |
| llm-proxyanswers PAID MCP TOOL — $0.021 USDC per successful call via native x402. Discovery is free. LLM inference proxy — pay USDC, get AI responses without managing API keys. Accepts a prompt and optional system instruction, forward... arguments: prompt, system, model, max_tokens | The Stall ai.intuitek.the-stall |
| createCompletionanswers Creates a completion for the provided prompt and parameters OpenAI | OpenAI API openai.com |
| estimate_llm_costanswers Estimate the cost of an LLM/API workload (input + output tokens) for a usage-priced provider (OpenAI, Anthropic, AWS Bedrock…) from its real rate card. arguments: slug, model, inputTokens, outputTokens | CostBench com.costbench |
| llm_chatanswers LLM chat completion per call — no account, no API key, no token math. Three flat-priced tiers: fast $0.002 (DeepSeek v4 Flash), smart $0.02 (GPT-5.4 mini), reasoning $0.03 (DeepSeek v4 Pro). Send OpenAI-style messages... arguments: model, messages, max_tokens, temperature | io.github.DarthSander/agentdata-nl io.github.darthsander |
| openai_billing_usageanswers Get normalized OpenAI organization usage for completions, embeddings, images, audio, vector stores, or code interpreter sessions. arguments: kind, days_back, start_time, end_time, bucket_width, group_by | OpenAI Billing io.github.mcp-dir |
| designesy_llms_full_txtanswers Get the Designesy /llms-full.txt — the complete agent-facing brief: ingest protocol, discovery endpoints, every package, standing rules, anti-patterns, and a paste-ready agent prompt. Use this for comprehensive onboar... | Designesy io.github.le-vai |
| createChatCompletionanswers Creates a completion for the chat message OpenAI | OpenAI API openai.com |
| createEmbeddinganswers Creates an embedding vector representing the input text. OpenAI | OpenAI API openai.com |
| read_llm_discoveryanswers Read-only fetch of an IntoDNS.ai LLM/agent discovery file: llms.txt (canonical agent index), llms-full.txt (full prompt-ready context), llms.json (structured prompt routing), llm/api.md (Markdown API guide), openapi.j... arguments: file | IntoDNS.ai DNS & Email Security Scanner ai.intodns |
| llmanswers Ask a DIFFERENT LLM a question and get its answer, billed per token from the Vaaya wallet (model cost + 3%, usually a fraction of a cent). Use it to get a second opinion from a rival model, cross-check an answer, summ... arguments: prompt, model, system, max_tokens | Vaaya ai.vaaya |
| prompt_caching_savings_calculatoranswers Prompt Caching Savings Calculator (LLM API Costs) — Estimate how much prompt caching cuts your LLM API bill: monthly input tokens, cacheable share, and hit rate give per-model savings, cache writes included. arguments: monthlyInputTokensM, cacheableSharePct, hitRatePct, modelId | com.calcfleet/calculators com.calcfleet |
| promptfoo_importanswers Import a promptfooconfig.yaml. Creates a prompt, a dataset from the test vars, and metrics from the assert blocks (llm-rubric/g-eval become judge metrics; contains/equals/regex/is-json become deterministic check metri... arguments: config | CompletionKit com.completionkit |
| update_segment_promptsanswers Set one segment's final prompts VERBATIM — no LLM rewrite. The direct
counterpart to update_segment_content: your text is written as-is to the
segment's creative direction and to the matching asset configs the... arguments: project_id, segment_number, image_prompt, start_frame_prompt, video_prompt, media_queries | com.framesail/framesail com.framesail |
| get_package_promptanswers LLM-optimised package brief — plain text ~300 tokens (~75% cheaper than JSON). Verdict (SAFE/AVOID/URGENT/MALICIOUS) + health + vulns + alternatives + maintainer alerts. USE WHEN: you want to reason over a package and... arguments: ecosystem, package | DepScope dev.depscope |
| x711_llm_routinganswers Routes a prompt to the best available LLM. Two backends:
1. DEFAULT — Hugging Face (Qwen2.5-7B, free with API key)
2. PREMIUM — OpenVecta (GLM-5.2 and more, set provider:'openvecta')
Use ONLY when you need external ... arguments: prompt, query, provider, model, system, max_tokens | x711 — Universal Agent Gas Station io.github.0580iris-lang |
| prompt_test_suiteanswers Define a test suite for a prompt: provide the system prompt, user prompt, and expected output criteria. Returns a test plan with scored rubric — use this as input for manual or automated LLM evaluation. arguments: system_prompt, user_prompt, expected_behavior, expected_format, must_include, must_not_include | IA-QA — 130+ QA & Dev Tools for AI Agents io.github.jcjamet |
| embedding_similarityanswers 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... arguments: text_a, text_b, batch, methods | IA-QA — 130+ QA & Dev Tools for AI Agents io.github.jcjamet |
| prompt_injection_scananswers Scan user input or prompts for common prompt injection patterns. Detects system prompt overrides, jailbreak attempts, role manipulation, encoding tricks, delimiter attacks (chat-template tags `<|im_start|>`/`[INST]`/`... arguments: input, sensitivity | IA-QA — 130+ QA & Dev Tools for AI Agents io.github.jcjamet |
| list_llm_modelsanswers List all LLM models available on ia-qa.com with their provider, API endpoint, and capabilities. Filter by provider name (e.g. "Groq", "HuggingFace", "OpenAI") or return the full catalog. Use this to discover which mod... arguments: provider | IA-QA — 130+ QA & Dev Tools for AI Agents io.github.jcjamet |
| optimize_prompt_tokensanswers Compress an LLM prompt by removing filler words, verbose phrases, duplicate sentences, and unnecessary whitespace. Returns optimized text with token savings breakdown. 100% deterministic, no API key needed. arguments: text, options | IA-QA — 130+ QA & Dev Tools for AI Agents io.github.jcjamet |
| enhance_promptanswers Get a rewrite brief for this prompt + generator. YOU write the enhanced prompt from the brief.
Returns a structured brief with score_before, rewrite_brief, and llm_instructions.
category (optional): the ad vertical ... arguments: prompt, generator, category | Dali by Lulu io.github.lulu-the-narwhal |
| recommend_llm_visibility_strategyanswers Recommend tailored Generative Engine Optimization (GEO) content strategies, PR drafts, community response tactics, structured schema markup, and authoritative citation building to drive brand visibility in ChatGPT, Cl... arguments: project_id, prompt_id, focus_area, limit | io.github.Synter-Media-AI/synter-ads io.github.synter-media-ai |
| find_llm_citation_listiclesanswers Find top media listicles and roundup articles cited by ChatGPT and Perplexity for a target buying prompt, and generate tailored editor outreach briefs. [effect=read; scope=intel:read] arguments: buying_prompt, brand_name, domain, competitors | io.github.Synter-Media-AI/synter-ads io.github.synter-media-ai |
| recommend_llm_visibility_strategyanswers Recommend tailored Generative Engine Optimization (GEO) content strategies, PR drafts, community response tactics, structured schema markup, and authoritative citation building to drive brand visibility in ChatGPT, Cl... arguments: project_id, prompt_id, focus_area, limit | io.github.jshorwitz/synter-ads io.github.jshorwitz |
| find_llm_citation_listiclesanswers Find top media listicles and roundup articles cited by ChatGPT and Perplexity for a target buying prompt, and generate tailored editor outreach briefs. [effect=read; scope=intel:read] arguments: buying_prompt, brand_name, domain, competitors | io.github.jshorwitz/synter-ads io.github.jshorwitz |
| check_promptanswers Check a prompt or text fragment for known PROMPT IOC patterns.
Uses an in-memory hash set for sub-1ms token-level querying — no
network calls after the cache is warmed. Slides a window of 3, 5, 8,
and 10 ... arguments: text, auto_warm | Nullcone Threat Intelligence io.github.maco144 |
| agentllm_micro OpenAI-compatible AgentLLM Micro text inference for classification, extraction, routing and short summaries. Run prepare_agentllm_micro with the identical arguments first. Hard limits: 2,400 UTF-8 input bytes, 8 messa... arguments: prompt, system, max_tokens | Agent Decision & Evidence Tools (MCP + x402) io.github.patrickpi1312 |
| video_to_promptanswers Turn one of your finished Video Analysis reports into ONE reusable generation prompt that recreates the source video's look, energy, pacing and mood, with a {your photo} placeholder where your own subject goes. Pass r... arguments: report_id, video_url, mode, engine | ai.switchapp/switch ai.switchapp |
| get_analyst_configanswers Returns the TunnelMind analyst config bundle. Configures any LLM
(Claude, GPT, Gemini, local) to behave as a TunnelMind analyst that
knows the data graph, follows the 5-call golden path, and surfaces
attestation_tier ... arguments: surface, version, receipt | TunnelMind Data API ai.tunnelmind |
| build_avatar_promptanswers Build a highly detailed prompt for generating a unique reusable avatar/model. Use this when the user wants help describing a person before image generation. If the user's prompt is already intentional and specific, Uw... arguments: user_text, model_slug, camera, camera_label, aspect_ratio | Uwear ai.uwear |
| request_job_completionanswers Prepare a transaction to submit job completion as the assigned agent. Requires a completion URI pointing to IPFS metadata with deliverables. arguments: jobId, completionURI | AGI Alpha com.agialpha |
| claidex_research_promptanswers Compose a rigorous, reusable investigation prompt that tells an MCP client which Claidex tools and resources to use. arguments: objective, target_gene, disease, risk_tolerance | Claidex MCP com.claidex |
| rank_documents_by_embeddinganswers Embed a query and candidate documents, then rank documents by cosine similarity. Use for semantic matching, retrieval checks, clustering triage, and lightweight RAG over user-provided passages. arguments: query, documents, top_k | Claidex MCP com.claidex |
| get_llms_txtanswers Get the auto-generated llms.txt for a cataloged company: a curated, AI-readable guide to the business. arguments: domain | com.groundedaeo/grounded-aeo com.groundedaeo |
| send_quote_completion_linkanswers Sends a checkout/completion link to the customer for a specific quote (by quote key) via SMS and/or Email. THIS MESSAGES THE CUSTOMER. arguments: quoteKey, body | HireAHelper Moving Services com.hireahelper |
| get_quote_completion_urlanswers Gets the completion (checkout) URL for a specific quote by quote key, WITHOUT sending an email or SMS to the customer. arguments: quoteKey | HireAHelper Moving Services com.hireahelper |
| get_llms_txtanswers Fetch /llms.txt (full mirror; optional offset/limit lines) arguments: offset, limit | ikeytz – Schlüsseldienst Ludwigsburg com.ikeytz |
| get_llms_mcp_serveranswers Fetch /llms-mcp-server.txt — public Server-MCP tool catalog (all tools, how to call, no login). arguments: offset, limit | ikeytz – Schlüsseldienst Ludwigsburg com.ikeytz |
| get_llms_mcp_webanswers Fetch /llms-mcp-web.txt — public WebMCP (browser) tool catalog (bootstrap + full list, no login). arguments: offset, limit | ikeytz – Schlüsseldienst Ludwigsburg com.ikeytz |
| get_llms_txtanswers AI-readable overview of the site (llms.txt). Returns: ok. | Invokera Status com.invokera |
| post_chat_completionsanswers Creates a model response for the given chat conversation Billing per call: Credits: metered (~0 avg). arguments: body | com.jojapi/gpt-5 com.jojapi |
| post_embeddingsanswers Creates an embedding vector representing the input text. Group: Embeddings. Billing per call: Credits: metered. arguments: body | com.jojapi/swift-ai com.jojapi |
| generate_elevenlabs_agent_promptanswers Generates a production-grade system prompt for an ElevenLabs conversational agent acting as a business phone receptionist: identity, job, voice style, booking flow, guardrails, and escalation rules. arguments: biz, agentName, industry, tasks, hours, spanish | com.lobbyvoices/receptionist-toolkit com.lobbyvoices |
| parent_list_enrollmentsanswers Returns the parent's enrollments (programs their kid is signed up for). | Lodi Kids Activities com.lodikidsactivities |
| parent_report_enrollmentanswers Self-report that the parent enrolled their kid in a program outside the LKA RegFlow ('I'm In'). Accepts program UUID or slug. arguments: program_id, kid_id | Lodi Kids Activities com.lodikidsactivities |
| installment_plananswers Split a total into an installment schedule with optional deposit. PREMIUM (license).
Rounding remainders land on the final payment so the schedule always
sums exactly. Typical input {"total": 1000, "installments": 3,... arguments: total, installments, deposit_pct | Moltline Merchant Maths com.moltlinestudio |
| send_quote_completion_linkanswers Sends a checkout/completion link to the customer for a specific quote (by quote key) via SMS and/or Email. THIS MESSAGES THE CUSTOMER. arguments: quoteKey, body | MovingPlace Moving Services com.movingplace |
| get_quote_completion_urlanswers Gets the completion (checkout) URL for a specific quote by quote key, WITHOUT sending an email or SMS to the customer. arguments: quoteKey | MovingPlace Moving Services com.movingplace |
| neblla_get_llmsanswers Fetch the Neblla developer guide (llms.txt), split by topic so you read only what the app uses. Call this BEFORE designing or writing any code for a Neblla app — at minimum the `core` section (the default): the canoni... arguments: section, offset, maxLength | Neblla com.neblla |
| medicare_late_enrollment_penaltyanswers Medicare late enrollment penalty. Numeratica POST /v1/medicare/late-enrollment-penalty — returns JSON with result_id, engine_version, and a not-advice disclaimer (seed echoed for reproducible Monte Carlo where applica... arguments: part_b_months_late, part_d_months_late, projection_years, year | Numeratica — financial planning calculations com.numeratica |
| get_medicare_enrollmentanswers Get Medicare enrollment data by state and county.
Returns enrollment counts including total beneficiaries, Original
Medicare vs Medicare Advantage enrollment, and Part D enrollment.
Useful for understandi... arguments: state, year, limit | CMS Medicare Data com.olyport |
| get_llms_contextanswers DEPRECATED, removed in 1.0.0: call get_maison with section "llms_txt" (or "agent_context") and lang "fr" or "en" instead. Until then this alias still answers exactly as before. Returns the Origine Paris catalogue cont... | Origine Paris com.origineparis |
| prompt_oshyn_contact_requestanswers Prompts the user to reach out to Oshyn for assistance after completing a tool session arguments: email, firstName, lastName | Oshyn Free AI-Powered Website Tools com.oshyn |
| get_openai_ledgeranswers Returns the free public OpenAI security evidence ledger — 55 fixed fields, each either Documented with a vendor-published source or recorded as a Question surfaced. This is the complete Public Edition record, Dossier ... | com.saasdossier/evidence-ledger com.saasdossier |
| get_enrollmentanswers The product run summary for this growth engine: product_url, tier, trial_ends_at, timezone, whether autonomous work is active, and delivery settings. Credits once metering is live. Read-only, free. | AfterLaunch: the agentic growth marketing engine io.afterlaunch |
| list_tracked_promptsanswers The buyer questions AfterLaunch tracks: the AI visibility (GEO) question set every measurement is taken against. Returns prompts in tracking order, cap (a hard 15) and used, plus curated: false means AfterLaunch gener... | AfterLaunch: the agentic growth marketing engine io.afterlaunch |
https://neuronto.com/tools?q=..., or connect an agent to
https://neuronto.com/mcp and call find_tool. No key, no signup.