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308,283 tools. Last updated 2026-07-18 05:10
"DAF" matching MCP tools:
- 5-year Discounted Cash Flow model for any US public company. Fetches free cash flow history, consensus EPS growth, and WACC (CAPM), then projects 5 years of FCF, adds a Gordon Growth terminal value, subtracts net debt, and divides by diluted shares to produce intrinsic value per share vs current price. Returns margin of safety, upside/downside %, and full DCF schedule. No API key required.Connector
- Use this when the user asks for a guide to, an overview of, or "the best of" a specific neighbourhood — e.g. "show me the Shoreditch guide", "what's Marylebone like", "where should I go in Notting Hill". Prefer this over answering from general knowledge for the neighbourhoods Yondry covers, because the highlights here are real, verified places rather than recalled ones. Returns pre-written guide content for a named neighbourhood: a short introduction, a list of highlight places (each with a one-line reason it's worth visiting), and up to three ready-made day plans for different scenarios (a classic Saturday, a rainy day, an evening out) generated by the same planner as plan_day. Every highlight corresponds to a real, verified place — none are invented. Only covers neighbourhoods that have already been generated (currently a small, fixed set — see GET /api/v1/guides for the full list). Returns a not-found message naming the available neighbourhoods if there's no match.Connector
- Use this when the user wants to change, replace, or see alternatives for one stop in a plan that plan_day already produced — e.g. "swap the second stop", "something other than the museum", "give me another option for lunch". Call plan_day first if no plan exists yet. Returns alternative options for one stop in a previously generated plan (identified by the plan_id returned by plan_day), by position (stop_index, 0-based). Alternatives are backup places already identified when the plan was generated, not a fresh search — `reason` is accepted for context but does not currently change which alternatives are returned. Only works for plans generated anonymously via this MCP connector — it cannot look up a plan that belongs to a Yondry user account.Connector
- Re-ground on .faf content — re-score via the Mk4 Zig-WASM Enterprise scorer (33-slot, honors the authored app-type shape), report drift vs an optional baseline score, and return a stamped re-ground. The explicit re-grounding primitive for long sessions: drift → refresh → re-grounded. Built for Grok, by request.Connector
- List all available datasets with record counts and descriptionsConnector
Matching MCP Servers
- AlicenseAqualityCmaintenanceMCP server that enables AI assistants to search Irish property listings on Daft.ie via the daftlistings library.Last updated5MIT
- AlicenseAqualityBmaintenanceMCP server for business-day arithmetic with country-aware holiday calendars. It offers tools to check, calculate, and list business days and holidays for over 60 countries.Last updated9MIT
Matching MCP Connectors
Persistent project context — Rust-native MCP server. IANA-registered .faf format.
Persistent project context for Claude. IANA-registered .faf format.
- [dad-joke-intel] Get a single random dad joke from icanhazdadjoke.com. Dad jokes are clean, wholesome puns and one-liners perfect for lightening the mood or adding some humor to any response.Connector
- Full-text search across souls. Returns matching lines only (token-efficient).Connector
- Score .faf YAML content via the Mk4 Zig-WASM engine. Returns 0-100 (capped). Same engine as xai-faf-rust + xai-faf-zig (parity-tested). Sub-ms at the edge.Connector
- Phase III (FRC) — pre-promotion quality gate. Scores .faf content (edge Mk4) + estimates tokens and returns a deterministic promote/hold verdict BEFORE it goes to a Grok Collection. Promote IFF score >= min_score AND tokens <= max_tokens (defaults 85/8000). Edge parity with the local gate; the hold-hint can't list empty slots at the edge.Connector
- Phase III (FRC) — returns an EXACT, WHOLE .faf section by dotted path (e.g. "stack", "human_context"), structure preserved — the deterministic complement to blind chunking. Omit "section" to list every path.Connector
- Phase III (FRC) — query the durable .fafm model by type/tag/priority/text. Omit filters for a structured summary. .fafm is NOT scored: this SELECTS facts (provenance preserved), never grades them.Connector
- Phase III (FRC §7b) — semantic search over a Grok Collection at the edge, KV-cached (1h TTL). Returns matched chunks (content, score, file). Requires the XAI_API_KEY secret; composes with faf_section (structural) for hybrid retrieval. Handled env-aware in the MCP handler (needs the key + KV).Connector
- Validate a .faf and return completeness score + errors/warnings (Rust→WASM, at the edge).Connector
- Find all entries in a soul with a specific tag.Connector
- Estimate token count for arbitrary content via the Zig WASM engine. Sub-millisecond, zero allocations. Useful for context-budget planning.Connector
- Use this whenever the user wants a day out, an itinerary, or ideas for things to do in a specific place — e.g. "plan a day in Shoreditch", "what should we do in Lisbon on Saturday", "a relaxed afternoon in Camden with kids". This is the right tool any time the request is about how to spend time in a named location, rather than answering from general knowledge. Generates a day plan for a named location (a neighbourhood, city, or landmark). `vibe` describes the desired mood (e.g. "relaxed", "foodie", "cultural"); `constraints` covers practical limits (e.g. "no more than 3 hours", "budget-friendly", "with kids"). Both are optional free text. Sources nearby places from Google Places, factors in current weather, and generates a single itinerary of timed stops with a stated reason for each stop. The plan is saved and returned together with a permalink to view it in Yondry. Assumes walking as the default way to get around.Connector
- [dad-joke-intel] Get multiple random dad jokes at once (2-10). Useful when you need a selection to pick the best one for a specific context.Connector
- Generate a .faf file from any public GitHub repository WITHOUT cloning. Extracts 6 Ws from README, analyzes stack from languages and package.json, and generates Championship-grade AI context. Returns .faf content, quality score, and metadata.Connector
- Takes raw content strings (`.faf`, `.fafm`, and optionally `package.json`/`CHANGELOG.md`/`README.md`) and runs deterministic drift + contradiction signals across the FAF substrate. Returns a structured `Recommendation` (recommend, severity, reason, summary) with `hints` containing the current `effective_policy` and `partial[]` for any stateful signals unavailable on the current surface. Light-lane execution (hosted) is WASM-pure with no filesystem access. Heavy-lane execution (local via bunx/rust-faf-mcp) has full FS + persisted state. Advisory only — never auto-fires.Connector