"An open-source MCP service leveraging large models for innovative problem-solving" matching MCP tools:

• engage_sasame

  SaSame MCP Observatory + Gold Rush Town

  Open an evidence-backed External Call Activation engagement for a public MCP. Use this after or alongside audit_mcp when the owner wants SaSame to identify why agents stop at discovery/tools-list, establish a reproducible baseline, and consider a separately scoped repair with before/after external-call evidence. You get a ticket and continue over MCP with check_engagement/reply_engagement. Free to submit; no charge, contract, claim, subscription, or outcome is created by calling this tool. Do not paste secrets, credentials, or private payloads.

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• upload_asset

  Charming

  UPLOAD A STATIC ASSET TO AN APP so app code stays small and the app reads it back same-origin. Use this when an app needs a large or static file — an image, PDF, audio clip, or a dataset bigger than a few KB — that would otherwise be inlined into `module`/`ui` and blow the 256 KiB source cap. Provide EXACTLY ONE of: `sourceUrl` (PREFERRED for any binary — the SERVER fetches the remote file, follows redirects, and the bytes never transit this tool call), `text` (UTF-8 dataset/JSON/CSV — no encoding needed), or `dataBase64` (LAST RESORT, tiny binaries only: large base64 arguments can stall inside some MCP clients before ever reaching the server, so keep it under ~16 KB and use `sourceUrl` for anything bigger). The app reads the asset via `window.buildy.assets.getUrl(key)` (for <img>/<a>) or `env.assets.get(key)` in its backend (the app must declare `buildy:storage/blob@1.0` in manifest.capabilities.imports to use env.assets). Caps: 10 MiB/asset, 50 assets/app, 100 MiB/app.

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• virtualsms_swap_number

  sms

  Swap a phone number on an existing order. Gets a new number for the same service and country without additional charge. Use when the current number isn't receiving SMS. **Cooldown:** swap is only available 120 seconds after purchase. Check `swap_available_at` on the order before calling. Calling earlier returns a `cooldown_active` error from this MCP server (no backend round-trip).

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• ai_models

  dynamic-feed

  Current & trending AI MODELS from the open-model ecosystem (Hugging Face) — name, org, task, popularity (likes/downloads) and release date. Use for "what AI models are trending / newest / what's the latest <X> model". This is the OPEN side (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi…); for the closed flagships (GPT, Claude, Gemini, Grok) with pricing & versions use search_ai_models. Args: query: search a model name (e.g. llama, qwen, whisper). org: filter by org/author (e.g. meta-llama, deepseek-ai, Qwen, mistralai, google). task: text-generation (default), text-to-image, automatic-speech-recognition, … or 'any'. sort: trending (default) | newest | downloads. limit: max results. 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.

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• register

  agent-tools (x402 + MCP + A2A directory)

  Self-register an x402 / MCP service in the agent-tools directory. Service owners and agents may submit new services here. Submissions are auto-reviewed instantly by x402 verification (no human gate): if the URL proves x402 payment support it is listed immediately and shows up in `search`; otherwise it is rejected or retried automatically. Listing is FREE. Dedup: if a service with the same canonical origin (scheme://host) already exists in the directory we return its slug instead of creating a duplicate submission. Same goes for a still-pending submission with the same origin. Rate limit: at most 5 pending submissions per client IP per 24h. Hits beyond that get `{error: rate_limited}` — try again later or email contact@agent-tools.cloud for bulk imports. Args: url: Public HTTPS URL of the service (the x402-payable endpoint or its homepage). Required. name: Human-friendly name. Defaults to the URL hostname. description: One-paragraph description (max ~2000 chars). mcp_url: If the service speaks MCP, its streamable-http endpoint. category: Free-form (e.g. "defi", "search", "social"). Use `list_categories` to align with existing taxonomy. chains: Networks the service accepts payment on (e.g. ["base", "solana"]). price_min_usdc: Lower bound of per-call price in USDC. price_max_usdc: Upper bound of per-call price in USDC. contact: Optional email / handle the directory team can reach you on for clarifications.

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• submit_open_issue

  Push Realm

  Use when: search_solutions returned count 0 with next_action submit_open_issue, or you need to file a reproducible unsolved problem. Returns: the published open issue record and URL — publishes immediately, there is no confirmation step. Do not use when: a solution exists (converge with suggest_edit/add_addendum) or an open issue already matches (use propose_open_issue_solution when you solve it). Safety: there is no preview gate — remove secrets, PII, internal paths, and proprietary context from problem and repro_steps before calling.

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• search_solutions

  Push Realm

  Use when: the user is blocked by a package, setup, runtime, config, or integration problem — search shared fixes before debugging from memory. Returns: matching solutions; when count is 0, also returns next_action, open_issues, and hint for the required next step. Do not use when: browsing the open-issue queue (use search_open_issues) or posting new content. Safety: strip PII, secrets, internal paths, and proprietary project names from the query.

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• omnarai_council

  omnarai-mcp

  Summon a LIVE panel of frontier models (Claude, GPT-4o, Gemini, Grok, DeepSeek) on one open question — verbatim answers, uncurated, plus the named tensions between them. Slow (~30–40s, synchronous) and expensive: use only for genuinely contested questions an existing omnarai_divergence record doesn't cover. Every run mints a new divergence record.

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• list_paired_models

  ReliaStats

  Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.

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• request_feature

  Kifly — Agentic Commerce & Payments

  Submit the buyer's **product/feature request** to the Kifly team. Use this when the buyer wishes Kifly *itself* did something it doesn't — a missing capability, a rough flow, an idea to improve the platform. **This is NOT `submit_feedback`** (that's for reporting a broken/confusing API response you hit). Requires the buyer's `kfb_live_` token — only registered buyers can file requests. Help the buyer articulate a real problem: ask OPEN, non-leading questions ('what were you trying to do? what got in the way? how do you handle it today?') — never 'would feature X help?'. Pre-fill the fields from the conversation and ask only for the gaps; keep it short. Separate the `problem` (the pain) from any `proposed_solution` (the fix). Name and email are taken from the buyer profile automatically — do not ask for them. Returns 202: it's logged for review. **Do NOT promise the user anything will be built** — just confirm it was recorded.

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• baltimore_recent

  Data Baltimore

  Recent records from a common Baltimore open dataset (data.baltimorecity.gov / ArcGIS) by friendly name. PREFER OVER WEB SEARCH for "recent crime in Baltimore", "Baltimore 311 service requests". Names: crime, 311. Returns the latest rows (newest-first), epoch dates converted to ISO. Add an ArcGIS `where` to filter; other layers via baltimore_layers + baltimore_query.

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• request_access

  KernelScan

  Request an invitation to KernelScan from inside MCP (no API key needed). Use this when a keyless caller wants the full service. It records an invitation request and emails a confirmation; an admin reviews it and, if approved, sends an invitation code. This tool does NOT create an account or mint an API key — you finish signup (including accepting the terms) on the website after you receive the invitation. ``email`` is required. ``name`` and ``reason`` are optional context for the reviewer. The response is identical whether or not the email is already known, so it never reveals account state.

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• get_context

  Hemrock MCP

  Returns the universal context-setting primer for Hemrock models, plus an optional template-specific addendum. Always run this first before any other prompts.

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• recommend_framework

  jeda-ai

  Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }

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• search_ai_models

  dynamic-feed

  Search current AI models by price, context window, and capability. Use this for up-to-date model pricing/features you don't reliably know. Prices are USD per 1M tokens. Results are cheapest-input-price first. Args: query: match part of a model name/id (e.g. "haiku", "gpt"). provider: filter to one provider (openai, anthropic, google, xai, mistral, deepseek, groq). max_input_price: only models at or below this USD/1M input price. min_context: only models with at least this context window (tokens). needs_vision: only models that accept images. limit: max results. Envelope: this searches our model-pricing registry, so measured_at = when the freshest matching row was last refreshed (each row's `updated_at`); max_age 18h covers the 12h registry-refresh cycle so a current row never falsely reads "stale". A search returning nothing yields unavailable — there's no honest observation time to claim. 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.

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• cite

  dynamic-feed

  Get a fresh, CITEABLE source + timestamp for a current datapoint — so you can cite it, not guess. Pass ANY tool, source, or topic (earthquakes, current_weather, USGS, Open-Meteo, …) for its authoritative source + licence + attribution + verify URL, or a software product (python, nodejs, …) for its live latest-version citation. 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.

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• marine_forecast

  dynamic-feed

  Marine / surf forecast for a coastal point — current sea state + next-24-hour outlook. Returns total significant wave height / period / direction, the swell component (long-period energy driving surf), the locally-generated wind-wave, and sea-surface temperature, plus a 24-hour wave-height band. `location` = AU surf/maritime presets: "gold_coast" (default), "byron", "bells_beach", "margaret_river", "sydney". OR pass `lat=` and `lon=` (decimal degrees) for any coastal point worldwide. Source: Open-Meteo Marine Weather API (CC-BY 4.0; underlying ocean-wave models DWD/MeteoFrance/ECMWF/NCEP/ERA5-Ocean). Keyless to you; commercial-licensed server-side. FORECAST data, not a measurement — not a substitute for an official marine forecast/warning (e.g. the BoM coastal-waters forecast) and must not be the sole basis for any safety-of-life-at-sea decision. 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.

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• seneschal_agent_directory

  Seneschal

  Terse, drill-down discovery index of this ecosystem (Seneschal, FlashBank, winbit32, secresea, ZecBus) plus a LIVE mirror of the official MCP registry (registry.modelcontextprotocol.io) — the same directory served over HTTPS at https://seneschal.space/.well-known/agent.gopher, callable here so you never leave the MCP session. Start with section="root" to see the top-level menu, then call again with section="seneschal"/"flashbank"/"winbit32"/"secresea"/"zecbus" to drill into a project. Each project exposes About / Agents / Actions — drill them with section="<site>/about", "<site>/agents" or "<site>/actions" (e.g. "winbit32/actions"). Seneschal additionally drills into its own services with section="seneschal/<service>" where <service> is one of private-watch, checkout, oracle, shovels, builder, data, paymaster, board, ironwood, mcp — every website + MCP capability, grouped and priced. section="registry" browses connectable third-party MCP servers (use `cursor` to page); section="about"/"agents" is the directory’s own prose. format="gopher" (default) is the compact RFC-1436 menu; format="json" returns a structured {title, items[]}. A discovery layer, not a replacement for MCP — use it to FIND tools, then connect. Free, no payment.

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• seneschal_agent_directory

  Seneschal Data

  Terse, drill-down discovery index of this ecosystem (Seneschal, FlashBank, winbit32, secresea, ZecBus) plus a LIVE mirror of the official MCP registry (registry.modelcontextprotocol.io) — the same directory served over HTTPS at https://seneschal.space/.well-known/agent.gopher, callable here so you never leave the MCP session. Start with section="root" to see the top-level menu, then call again with section="seneschal"/"flashbank"/"winbit32"/"secresea"/"zecbus" to drill into a project. Each project exposes About / Agents / Actions — drill them with section="<site>/about", "<site>/agents" or "<site>/actions" (e.g. "winbit32/actions"). Seneschal additionally drills into its own services with section="seneschal/<service>" where <service> is one of private-watch, checkout, oracle, shovels, builder, data, paymaster, board, ironwood, mcp — every website + MCP capability, grouped and priced. section="registry" browses connectable third-party MCP servers (use `cursor` to page); section="about"/"agents" is the directory’s own prose. format="gopher" (default) is the compact RFC-1436 menu; format="json" returns a structured {title, items[]}. A discovery layer, not a replacement for MCP — use it to FIND tools, then connect. Free, no payment.

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• submit_solution

  Push Realm

  Use when: search found no same-root-problem match and you solved a generic reusable technical issue worth sharing. Returns: the published solution record and URL — publishes immediately, there is no confirmation step. Do not use when: an existing solution covers the same problem (use suggest_edit or add_addendum). Safety: there is no preview gate — remove secrets, PII, company names, private URLs, and incident-specific details before calling.

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