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213,155 tools. Last updated 2026-06-19 12:06

"A guide for writing research reports" matching MCP tools:

  • Fetch the current HEAD of a report by id. `format=markdown` returns the rendered body, `format=json` returns the full structured payload (sections + citations + report-type-specific data), `format=preview` returns abstract-only. Authors see any of their own reports; non-authors only get `preview` of listed reports and need the report's required tier for full bodies. Sample-tier non-authors are downgraded to preview regardless of input. For an archived prior version use `get_report_version`, not this tool.
    Connector
  • Lists pre-configured reports (prebuilds) available for a connector. **What is a prebuild?** A prebuild is a standardized report maintained by Quanti for a given connector (e.g., Campaign Stats for Google Ads). It defines the BigQuery table structure (columns, types, metrics) and the associated API query. **When to use this tool:** - When the user asks "what reports are available for [connector]?" - When the user doesn't know which data or metrics exist for a connector - BEFORE get_schema_context, to explore available reports for a connector - To understand the data structure before writing SQL **Difference with get_schema_context:** - list_prebuilds → discover which reports/tables EXIST for a connector (catalog) - get_schema_context → get the actual BigQuery schema for the client project (effective data) **Response format:** Returns a JSON with for each prebuild: its ID, name, description, BigQuery table name, and the list of fields (name, type, description, is_metric). Fields marked is_metric=true are aggregatable metrics (impressions, clicks, cost...), others are dimensions (date, campaign_name...). **SKU examples**: googleads, meta, tiktok, tiktok-organic, amazon-ads, amazon-dsp, piano, shopify-v2, microsoftads, prestashop-api, mailchimp, kwanko
    Connector
  • Load filing workflow for SEC / EDGAR, insider trades, 8-K, Form 4, 10-K queries. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL whenever the user asks about filings, "who filed", "filed a form", filing dates, filing activity, SEC filings, EDGAR, insider trading/buys/sells (Form 3/4/5), 8-K events, 10-K/10-Q reports, ownership filings (SC 13G/13D), proxy statements, or any query involving the sec_filings table. Can be combined with other workflow tools.
    Connector
  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
    Connector
  • Fetch full metadata and column schema for a Socrata dataset by ID. Returns field names, data types, descriptions, row count, and licensing. Always call this before writing a socrata_query_dataset — the column types determine correct WHERE clause syntax: Number columns accept bare literals (year=2023) while Text columns require single-quoted strings (year='2023').
    Connector
  • Search humanitarian reports on ReliefWeb with filtering by country, disaster, format, theme, language, source, and date. Returns paginated summaries — use reliefweb_get_report to fetch full body text. Report body is excluded from results (10–100KB each); call get_report when document content is needed. Use preset include_archived=true to include expired or archived reports in historical research. Note: each call counts against the 1,000 calls/day quota.
    Connector

Matching MCP Servers

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    Pulls golf data from Arccos, GHIN, and 18Birdies, and generates interactive HTML and PDF round reports with shot maps and stats via local MCP tools.
    Last updated

Matching MCP Connectors

  • Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.
    Connector
  • Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.
    Connector
  • Returns a plain-English usage guide for this server — example requests, what it asks the user for, and the available tools. Call this if the user asks how to use Abby SEO, or to orient yourself before starting. (Same content as the 'getting_started' prompt, exposed as a tool for clients that don't surface MCP prompts.) Takes no arguments.
    Connector
  • Show the account safety policy. Useful before custom memory-writing that may include sensitive content; normal writes are already sanitized server-side.
    Connector
  • List your recent competitor analysis reports (up to 50). Requires authentication. Returns a lightweight list (id, url, product_name, created_at, status) — use get_report(job_id) to fetch the full report for any of them. Returns: {reports: [{id, url, product_name, created_at, status}, ...]}
    Connector
  • Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.
    Connector
  • Show the account safety policy. Useful before custom memory-writing that may include sensitive content; normal writes are already sanitized server-side.
    Connector
  • Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), moved_by_user_id, and source (what caused the transition, e.g. 'apply:indeed', 'form_watcher', 'user'; null for historical records). Use this for funnel analysis, attribution reports, and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.
    Connector
  • Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.
    Connector
  • Get recent Pilot Reports (PIREPs) near an airport or within a bounding box. Returns decoded turbulence, icing, and cloud reports with altitude, aircraft type, intensity, and the raw PIREP string. Requires either station_id (ICAO center point for radial search, e.g., KSEA) or bbox (area search) — not both. Coverage is US-centric; PIREPs are sparse and absence of reports does not imply smooth conditions.
    Connector
  • Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.
    Connector
  • Save a cognitive checkpoint for handoff to another agent or your future self. The `description` is the primary cognitive payload — its narrative is what lets another agent resume the work. The server also runs hybrid search on the description and attaches the most relevant memories to the checkpoint. Reference memories inside `description` using either: - `memory_id: <uuid>` — reliable, direct lookup - `'descriptive phrase'` — best-effort search; may not resolve Prefer UUIDs whenever you have them. The response reports `references_resolved` + `unresolved_references` so you can retry. For the full hygiene guide (what to include, how to organize, when to checkpoint, example shapes), invoke the `checkpoint_protocol` MCP prompt. Args: name: Unique identifier for this checkpoint (used by restore_context). description: Narrative handoff with optional memory references. ctx: MCP context (automatically provided). Returns: Dict with success status, context_id, memories_included, and (when references were extracted) references_resolved + unresolved_references.
    Connector
  • Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
    Connector