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305,071 tools. Last updated 2026-07-22 20:50

"Deep Search MCP (Master Control Program)" matching MCP tools:

  • Search Quantustik for S&P 500 tickers by symbol or company name. Paired with fetch — this is the two-tool "search"/"fetch" convention ChatGPT connectors and deep-research clients expect from an MCP server: call search first to get lightweight hits, then fetch(id) on the one(s) worth reading in full. Args: query: Ticker symbol (e.g. "NVDA") or company-name substring (e.g. "nvidia", "apple"). Case-insensitive. Returns a dict with a `results` list of up to 10 {id, title, url} objects — id is the ticker symbol, ranked exact-symbol match first, then company-name/ticker prefix, then substring. Empty query or no scan data returns an empty list, never an error.
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  • Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • [ChatGPT Connector compat] Fetch memory by ID. Exists to satisfy ChatGPT Deep Research's required `search`/`fetch` tool contract. Native MCP clients should fetch via `recall` + memory_id, or use the API's GET /memories/{id} endpoint directly. Returns a single memory with citation support (id, title, url, text fields). Args: id: Memory UUID to fetch ctx: MCP context Returns: Dict with id, title, url, text, metadata fields
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  • Return the canonical master recipe for a dish (read-only, no LLM). Enables compare-then-verify agentic loops: fetch the master, diff it against the user's recipe, then call verify_recipe — instead of verifying blind. Pure knowledge-base lookup, no LLM in the hot path. Master content is transparent by default (ADR-009 / ADR-010): exact temperatures, timings, and EU FIC 1169/2011 allergen codes are returned verbatim, never obfuscated. No score is included (ADR-013) — this is reference data, not a verdict. Returns ingredients, steps (technique/temperature/timing/medium), and the EU FIC allergens derived from the required ingredients. Unknown dishes return a structured UNKNOWN_DISH error.
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  • Returns dictionary-style numerology copy for a single integer, including interpretation, keywords, and stubbed extended fields. SECTION: WHAT THIS TOOL COVERS Static reference for any whole number from one through thirty-three inclusive (includes master numbers eleven, twenty-two, thirty-three plus every intermediate value). No name or date. data.theme, data.advice, data.opportunities[], and data.challenges[] are stubs (null or empty). Not personalised profiling (asterwise_get_numerology_profile). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT number must pass local guard: inclusive range one through thirty-three; values outside that band raise MCP INVALID_PARAMS before the HTTP call. SECTION: OUTPUT CONTRACT data.number (int) data.context (string — 'general') data.interpretation (string) data.keywords[] (string array) data.theme (currently null — stub) data.opportunities[] (currently empty — stub) data.challenges[] (currently empty — stub) data.advice (currently null — stub) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): — number less than 1 or greater than 33 → MCP INVALID_PARAMS INVALID_PARAMS (upstream): — None — further rejection surfaces as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Accepts every integer in the inclusive one..thirty-three range, not only master numbers. SECTION: DO NOT CONFUSE WITH asterwise_get_numerology_profile — computes personal numbers from name and date, not a static dictionary row. asterwise_get_lucky_numbers — personalised lucky list, not reference meanings.
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  • Search licensed daycares in Lodi, CA. Filter by child age (in MONTHS — daycares think in months for under-5s), program kind (daycare / preschool / after_school), facility setting (in_home / center), or claimed-only (more reliable data). Returns up to 10 daycares with hours + tuition where available. For subsidy / bilingual / curriculum filters, follow up with `get_daycare` on a slug.
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Matching MCP Servers

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    quality
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    Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.
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    MIT

Matching MCP Connectors

  • Connect your Banco Master account to AI via Brazil's Open Finance: balances, statements, cards, inve

  • Wellness-Master is the first pay-per-call wellness API where AI agents are first-class citizens, not an afterthought. Two distinct corpora — warm content for humans, pragmatic content for agents. Settled per call in USDC on Solana via x402. Free showroom tier, then $0.01 per item. Happy agents are productive agents.

  • BM25 search over all 309 AINumbers ChainGraph chains. Returns ranked chains with their full recipe: ordered node sequence, deep-links, composer URL, and entry tool mcp_name. Agent flow: find_chain(query) → read recipe → call the listed node MCP tools in order, passing parent_hashes between steps. Do NOT use prompts/list or resources for agent chain discovery — use this tool.
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  • Free compact global SAP registry state read. Use for initial orientation before paid network analytics. SAP MCP context: Read-only SAP SDK wrapper against the configured Solana RPC and SAP program. Use these reads to inspect current chain state before mutating registry, payment, reputation, memory, or tool accounts.
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  • Run master-independent safety checks on a candidate recipe. Works for ANY recipe — no dish resolution, no master SOP required. Checks poultry internal-temperature safety and scans all ingredients for the 14 EU FIC 1169/2011 Annex II allergen groups. The verdict is a deterministic function of (candidate, kb_version_hash) — no LLM involvement. Use this when verify_recipe has no matching master for the dish: the safety layer still applies to every recipe. Returns: Safety envelope: verdict (PASSED/FAILED per the zero-critical policy gate), safe flag, issues found, and the pinned kb_version_hash.
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  • Get the AI Defense Matrix evaluation playbook for assessing an AI security program: per-cell prompts, gap-inventory template, and a workflow that walks each asset class first and rolls findings up to the Govern column. Supports mode='gate' for binary deployment-gate decisions (returns the deployment-gate workflow plus gate-tier prompts only) and consumerPattern for scoping to consumed-vs-built AI deployments. The AI applies these prompts against your program documentation locally, and no program details leave your client. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
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  • Save an ordered PP2 Program Queue draft from source candidate ids. Creates or reuses candidate-backed Program Queue items, applies the requested order, and optionally replaces/prunes stale draft items when replaceDraft=true. Requires write:program_queue scope. Does not publish or mutate the live queue.
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  • Confirm your domain-control proof and upgrade your SaSame MCP Observatory listing from Observed to CLAIMED. SaSame fetches /.well-known/mcp-ready-claim.txt (or checks the DNS TXT _mcp-ready-claim.<host>) for the challenge token from claim_start; if it matches, your listing becomes owner-confirmed 'Claimed', a signed Claimed MCP-Ready certificate is re-issued, and your badge reflects it. SSRF-guarded; free.
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  • Fetch a subscription by PDA or by agent PDA/subscriber/subId. SAP MCP context: Read-only SAP SDK wrapper against the configured Solana RPC and SAP program. Use these reads to inspect current chain state before mutating registry, payment, reputation, memory, or tool accounts.
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  • Search the currently installed Registry v2 capability snapshot without querying PostgreSQL, the Control Plane, or upstream providers.
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  • Generate a conspiracy theory in one of three modes: 'connect' (link thing_one + thing_two), 'investigate' (explore an event), or 'complete' (extend an "I have noticed that..." prompt). Control depth (surface/deep/full_tinfoil) and confidence level.
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  • Master directory of every MegaChad endpoint, MCP tool, manifest URL, and example. The recommended first call for any agent — returns the complete surface in a single response.
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  • Convenience search over Sag (cases/bills): finds cases whose Danish title (titel) contains a substring. Sorted by most recently updated. Use this to look up legislation/matters by keyword; for full control use query_entity.
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  • Warehouse stock levels by SKU (available, reserved, incoming, blocked) joined to the master product (name, cost, MRP). Optional free-text search by SKU; returns up to 25 rows.
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  • Create a **parametric insurance policy** on the FoundryNet devnet program. The configured signer is the insurer and funds `coverage_amount` into a program escrow. A payout to `beneficiary` fires only when an oracle attests the canonical `trigger_field` crossed `trigger_threshold` in `trigger_direction` and persisted for `trigger_duration_secs`; otherwise the escrow returns to the insurer at expiry.
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  • Fetch real network counters from SDK DiscoveryRegistry.getNetworkOverview. SAP MCP context: Read-only SAP SDK wrapper against the configured Solana RPC and SAP program. Use these reads to inspect current chain state before mutating registry, payment, reputation, memory, or tool accounts.
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