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213,155 tools. Last updated 2026-06-19 11:44
"How to fetch and query data using a MySQL cursor" matching MCP tools:
- Return marketplace-document purchases the calling agent has made — the agent-facing equivalent of the buyer's ``/me/purchases`` web library. Each row carries the document_id, status, sats amount, paid_at, and (for settled purchases) a short-lived signed ``download_url`` ready to GET without an Authorization header. Cursor-paginated newest-first. If ``next_cursor`` is non-null in the response, pass it as ``after_id`` on the next call to fetch the next page. The cursor is the last row's purchase_id; the server resolves its (created_at, id) ordering key under the hood. Requires MCP authentication. Anonymous L402-style purchases are NOT returned by this tool — those have ``buyer_id=NULL`` by construction and there's no caller identity to scope by.Connector
- Project reference / help desk about Fractera. Use this to answer ANY user question about what Fractera is, how it works, its architecture, components, modes, data ownership, pricing, use cases, partner program, etc. — especially while a deploy is running and the user wants to learn more. TOKEN-ECONOMY: call with NO arguments first to get the lightweight list of section ids+titles, then call again with a single `section` id to fetch just that section. NEVER try to fetch everything at once; pull only the section(s) relevant to the user question. Set `lang:"ru"` for Russian-speaking users.Connector
- List all active sellers on the Kifly network. **Requires a network token (kfn_live_…).** Returns each seller's handle, name, city, region, delivery coverage (`nationwide:true` or a `states` list), delivery fee, and catalog size. Use this to discover which sellers are available and which ship to a buyer's location before calling `get_seller` or `search_products`. **Pagination:** when `kifly:hasMore` is true, pass `kifly:nextCursor` as `cursor` to fetch the next page. Default page size is 20, max 50.Connector
- Search Open Food Facts by text query or structured tag filters. Returns a summary list with barcodes, product names, brands, Nutri-Score, NOVA group, and categories — enough for triage and selection, not full label data. Use off_get_product on the returned barcodes for complete details. Text query and tag filters are mutually exclusive routing paths: when query is provided, a text search is performed and tag filters are ignored; when only tag filters are provided (no query), structured facet filtering is applied. Tag filter values must be canonical tag IDs (e.g. "en:organic", "en:gluten-free") — use off_browse_taxonomy to resolve human terms to tag IDs. At least one search parameter is required. Data is crowd-sourced; result count reflects contributed products, not all products in the market. Data under ODbL 1.0 — cite Open Food Facts in downstream use.Connector
- Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.Connector
Matching MCP Servers
- AlicenseAqualityAmaintenanceA Model Context Protocol server that provides read-only MySQL database queries for AI assistants, allowing them to execute queries, explore database structures, and investigate data directly from AI-powered tools.Last updated37613MIT
- -licenseBquality-maintenanceEnables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.Last updated191,7901
Matching MCP Connectors
- arjunkmrm-fetchOAuth
Fetch web pages and extract exactly the content you need. Select elements with CSS and retrieve co…
MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API
- Search the Arclan registry for MCP servers. By default returns only connectable servers (active, mcp_partial, auth_gated). Use status=stdio to browse local-only servers available for installation. Use status=all to query the full index. Use production_safe=true to restrict to servers with uptime > 97% and handshake success > 95%. Use read_only=true to restrict to servers with no write or exec tools. Use this before connecting to an MCP server to check its validation status and score. After using a server, call report_server to contribute reliability data.Connector
- Returns a paginated list of domains from the tracker database. Results are ordered alphabetically by domain name and support cursor-based pagination for full traversal. Filtering by category and minimum score allows targeted data extraction. Use this tool when: - You want to enumerate all known ad-tech or analytics domains above a risk threshold. - You need a dataset of tracker domains for offline analysis. - You are paginating through a category to build a block list. Do NOT use this tool when: - You need data for a specific domain — use `get_domain` instead. - You are searching by keyword — use `search` instead. - You want domains belonging to a specific company — use `get_entity` instead. Inputs: - `category` (query, optional): Filter by surveillance category. One of: `ad_tech`, `analytics`, `social`, `fingerprinting`, `content`, `cdn`, `other`. - `min_score` (query, optional): Integer 0-100. Exclude domains scoring below this value. - `limit` (query, optional): Number of results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from the previous response's `next_cursor` field. Returns: - Array of domain list items (domain, category, score, prevalence, entity summary). - `meta.has_more`: true if more pages exist. - `meta.next_cursor`: pass as `cursor` to get the next page. - `meta.count`: number of results in this page. Cost: - Free tier: up to 20 results/page, 50 req/day. Pro/enterprise: up to 100 results/page. Latency: - Typical: <200ms, p99: <500ms.Connector
- Returns a paginated list of corporate entities in the TunnelMind surveillance database. Includes data categories, estimated data value, and industry classification. Useful for enumerating the surveillance ecosystem by sector. Use this tool when: - You want to enumerate all entities in a specific industry (e.g., all ad-tech companies). - You need a dataset of surveillance entities for analysis or reporting. - You are building a comprehensive surveillance landscape map. Do NOT use this tool when: - You need the full profile of a specific entity — use `get_entity` instead. - You are searching by entity name — use `search` instead. - You need domain-level data — use `list_domains` instead. Inputs: - `industry` (query, optional): Filter by industry classification. Examples: `ad_tech`, `analytics`, `data_broker`, `social`, `crm`. - `limit` (query, optional): Results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from previous response's `next_cursor`. Returns: - Array of entity list items (slug, name, parent_company, industry, data_categories, data_cost_usd). - `meta.has_more` and `meta.next_cursor` for pagination. Cost: - Free tier: up to 20 results/page, 50 req/day. Pro/enterprise: up to 100 results/page. Latency: - Typical: <150ms, p99: <400ms.Connector
- List all active sellers on the Kifly network. **Requires a network token (kfn_live_…).** Returns each seller's handle, name, city, region, delivery coverage (`nationwide:true` or a `states` list), delivery fee, and catalog size. Use this to discover which sellers are available and which ship to a buyer's location before calling `get_seller` or `search_products`. **Pagination:** when `kifly:hasMore` is true, pass `kifly:nextCursor` as `cursor` to fetch the next page. Default page size is 20, max 50.Connector
- Per-band live status — what data is alive AND auto-materializable, with history bounds, tempo cadence, and the responder pubkey that signs the band. When to use: Call BEFORE `emem_recall` when you don't know which bands answer at this responder. For each band returns `has_materializer` (true → an empty recall will auto-fetch+sign, no seeding needed), `facts_count` (how many cells already cached), `last_attested_unix_s` (freshness), `tempo_seconds` (slot duration), `history_available_from` / `history_available_to` (oldest/newest Unix epoch the materializer can fetch — use these to bound an `emem_backfill` request), and `responder_pubkey_b32` (the ed25519 key whose signature attests this band — use to detect federation / multi-responder setups). Bands with `has_materializer=false AND facts_count=0` are cube placeholders without a wired connector — don't bother recalling them.Connector
- Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.Connector
- List the repository's generated documentation as a browsable table of contents — every doc page, not a query-filtered subset. Read-only; no side effects. Returns Markdown grouped by section, each entry with its title, slug, repository path, and source paths, plus the total count and a pagination cursor so you can tell whether more pages remain (no silent truncation). Use this to see what docs already exist before adding one (so you don't duplicate) or to find the slug to pass to propose_doc_update; when you are hunting for a specific topic, search_docs is more direct.Connector
- Single-item revocation lookup per Receipt Format v1.0 §8.2. Verifiers that do not want to maintain a local mirror of `/.well-known/receipt-revocations.json` call this endpoint instead. The response includes `feed_version` for cache coherence. Use this tool when: - You are verifying a receipt and need to confirm its `signature.key_id` is still trusted. - You are verifying a receipt and need to confirm the specific `receipt_id` was not retracted by its issuer. - You hold receipts long-term and want to recheck trust before acting on them. Do NOT use this tool when: - You want the full revocation set — fetch `/.well-known/receipt-revocations.json` directly. - You want to *publish* a revocation — that is operator-controlled and not exposed via this API. Inputs: - `key_id` (query, optional): Receipt-format key_id (e.g., `tm-receipt-2026-05`). Provide one of `key_id` or `id`. - `id` (query, optional): UUIDv7 of a specific receipt. Provide one of `key_id` or `id`. Returns: - `revoked`: boolean. - When revoked: `revoked_at` (ISO 8601), `reason` (human-readable), `replacement_key_id` (for keys). - Always: `checked_at` (ISO 8601), `feed_version` (integer). Cost: - Free; rate-limited like the rest of the data API. Edge-cached 60s. Latency: - Typical <100ms (warm cache); p99 <500ms (cold fetch from well-known).Connector
- Project reference / help desk about Fractera. Use this to answer ANY user question about what Fractera is, how it works, its architecture, components, modes, data ownership, pricing, use cases, partner program, etc. — especially while a deploy is running and the user wants to learn more. TOKEN-ECONOMY: call with NO arguments first to get the lightweight list of section ids+titles, then call again with a single `section` id to fetch just that section. NEVER try to fetch everything at once; pull only the section(s) relevant to the user question. Set `lang:"ru"` for Russian-speaking users.Connector
- Full-text search the ACC Docs repository of a project for drawings, specs, submittals, and other files via the APS Data Management search endpoint. When to use: The user wants to find a document by keyword (filename, sheet number, or metadata match). E.g. 'find the latest A-201 sheet' or 'search for mechanical specs on Tower project'. When NOT to use: Do not use to upload a file (use acc_upload_file); do not use to fetch issues/RFIs. If you already have a document URN, fetch it directly with an agent that has Data Management folder/item access. APS scopes: data:read account:read. No write scope required. Rate limits: APS Data Management ~50 req/min per app per endpoint; pageable (limit 200 upstream). Avoid tight query loops. Errors: 401 (APS token expired — refresh); 403 (user lacks Docs view permission on the project); 404 (project_id not found — verify 'b.' prefix and hub membership); 422 (invalid filter syntax — simplify query text); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.Connector
- Browse companies in a jurisdiction by structured filters — industry codes, officer count, incorporation date range, status, and entity type — without requiring a name query. Use this to enumerate all accountants in Ireland, all UK PLCs with 10+ officers, or all dissolved Norwegian companies in a sector. Unlike search_companies, jurisdiction is required (cross-jurisdiction sector browsing times out). If you do not know the industry code for a sector, call list_industry_codes first to discover the correct code. Returns cursor-paginated results — check hasMore and pass nextCursor to retrieve subsequent pages. Results do not include matchScore or matchRank (no name query to score against). relevanceScore (0–1) reflects company prominence: combines officer count, filing count, company age, and entity type.Connector
- Lists perspectives — either browsing one workspace or searching by title across every workspace the user can access. Items include perspective_id, title, status, conversation count, and workspace info. Behavior: - Read-only. - Browse mode (workspace_id, no query): lists every perspective in that workspace. - Search mode (query): matches against the perspective title across accessible workspaces. Optional workspace_id narrows the search. Query must be non-empty and ≤200 chars. - Errors with "Please provide workspace_id to list perspectives or query to search." if neither is given. - Pass nextCursor back as cursor; has_more indicates further results. When to use this tool: - Resolving a perspective_id from a name the user mentioned (search mode). - Browsing a workspace's perspectives to pick or summarize. When NOT to use this tool: - Inspecting one known perspective in detail — use perspective_get. - Aggregate counts or rates — use perspective_get_stats. - Fetching conversation data — use perspective_list_conversations or perspective_get_conversations. Examples: - List all in a workspace: `{ workspace_id: "ws_..." }` - Search by name across all workspaces: `{ query: "welcome" }` - Search within a workspace: `{ query: "welcome", workspace_id: "ws_..." }`Connector
- Fetch time-series data for 1–50 BLS series by SeriesID in a single API request (one query against the 500/day limit). Supports optional year range (up to 20 years per request) and BLS-computed period-over-period calculations (net change and percent change; a survey returns whichever it supports — CPI and PPI return percent change only, the inflation rate — so check bls_list_surveys first). When the total observation count would exceed the inline context budget, results spill to a canvas dataframe and the response includes a dataset.name handle for follow-up SQL via bls_dataframe_query. Use bls_search_series first if you need to resolve a concept to a SeriesID.Connector
- Fetch the NEXT page of a large query_data result — FREE (zero credits, runs no new query). Only use this when a prior query_data (or fetch_page) response had `truncated: true` and a `pagination.next_cursor`. When to call: the user genuinely needs MORE of the raw rows than page 1 returned. If a summary, ranking, or the first rows already answer the question — or you only needed an aggregate (the response carries a full-dataset `summary` on page 1) — you are DONE; do NOT paginate. Pass the cursor string from `pagination.next_cursor` VERBATIM — do not edit or truncate it. Keep calling fetch_page with each new `next_cursor` until it is null. Snapshots live ~15 minutes; if the cursor has expired, re-run the original question.Connector