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 |
|---|---|
| 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 |
| 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 | framesail com.framesail |
| 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 | EU Compliance Tools (pay-per-call, 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 |
| track_promptanswers Add one buyer question to the AI visibility (GEO) set AfterLaunch measures this product on. Free, spends nothing. Two honest consequences: changing the set makes the NEXT scheduled scan run at full depth instead of sk... arguments: text | AfterLaunch: the agentic growth marketing engine io.afterlaunch |
| untrack_promptanswers Remove one buyer question from the AI visibility (GEO) set, freeing a slot against the cap of 15. Free, spends nothing. Same two honest consequences as track_prompt: the next scheduled scan runs at full depth, and the... arguments: text | AfterLaunch: the agentic growth marketing engine io.afterlaunch |
| generate_llms_txtanswers Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt ma... arguments: url, max_links | Dockerhub io.github.pipeworx-io |
| 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 ... | SaaSDossier MCP server saasdossier.com |
| scan_agentanswers Red-team an AI agent for security weaknesses — prompt injection, system-prompt leakage, sensitive-data disclosure, unsafe output handling and excessive agency — mapped to the OWASP LLM Top 10, and return a Markdown re... arguments: kind, endpoint, apiKey, model, deep | ScanLabsAI Security Scanner com.scanlabsai |
| tf_premium_agent_contextanswers The "always start here" premium call for autonomous agents. Composes multiple public/gov upstream sources into a curated world-state snapshot: Fed funds rate, USD-base forex (EUR/JPY/GBP/CHF), HN front page top 5, sig... | terminalfeed io.github.rippermercs |
| tollmint_cataloganswers List every Tollmint product with its price, sourcing class, evidence grading, latency SLO and input schema. Free — this call costs nothing. Call it first to see what is available and what it costs. | Tollmint com.tollmint |
| tollmint_quoteanswers Get the exact price of a specific call before making it. Free — this call costs nothing. The quoted price is binding: you will never be charged more than it. arguments: product, input | Tollmint com.tollmint |
| agentseo_ai_visibility_prompt_setanswers Build stable AI visibility prompt sets mapped to owned assets, platforms, competitors, citations, and weekly action routing. arguments: target, category, audience, locale, platforms, competitors | AgentSEO dev.agentseo.www |
| designesy_llms_txtanswers Get the Designesy /llms.txt — a short agent-facing brief with the canonical reference, topic index, ingest steps, package list, and contact. Use this first when you don't know what Designesy is — it's the cheapest ori... | Designesy io.github.le-vai |
| search_promptsanswers List prompts in the authenticated user's workspace. Full-text (literal) match on title, description, and content. For semantic / natural-language matching of prompts, use find_items. arguments: search, limit, cursor, tags | contextrepo.com MCP server ora.ai |
| read_promptanswers Get the full details of a specific prompt including its content and variables arguments: promptId | contextrepo.com MCP server ora.ai |
| create_promptanswers Create a new prompt template. Requires the `prompts.write` API-key scope. arguments: title, description, content, tags | contextrepo.com MCP server ora.ai |
| update_promptanswers Update an existing prompt. Only provide the fields you want to change. Updates that change `content` create a new version row in the prompt history (inspect with get_prompt_versions, roll back with restore_prompt_vers... arguments: promptId, title, description, content, changeLog, tags | contextrepo.com MCP server ora.ai |
| delete_promptanswers Permanently delete a prompt. This action cannot be undone. Requires the `prompts.write` API-key scope. arguments: promptId | contextrepo.com MCP server ora.ai |
| get_prompt_versionsanswers Get the version history of a prompt. Shows all previous versions with change logs. arguments: promptId | contextrepo.com MCP server ora.ai |
| restore_prompt_versionanswers restore_prompt_version restores versioned content, parameters, and variables as a new version. Prompt title, description, tags, visibility, and other unversioned metadata remain at their current values. Requires the `... arguments: promptId, versionId | contextrepo.com MCP server ora.ai |
| validate_llms_txtanswers Validates llms.txt content against best practices. Pass either a URL to fetch from, or raw content to validate. arguments: url, content | botvisibility.com MCP server ora.ai |
| get_llms_indexanswers Retrieve the full LLMs.txt summary index — includes verified brand listings, category hierarchy, strategic assets, Quizzes, and API reference. Use to understand BudgetFitter's full scope. | budgetfitter.co.uk MCP server ora.ai |
https://neuronto.com/tools?q=..., or connect an agent to
https://neuronto.com/mcp and call find_tool. No key, no signup.