"A tool for searching and summarizing Notion content" matching MCP tools:

• convert_content

  Botverse

  Offload an inline document conversion to Botverse — pass the content directly as a string. ONLY use this tool for content you generated yourself (e.g. Markdown you just wrote). HARD LIMIT: content must be under 10,000 characters. If the content is longer than 10,000 characters, or came from an uploaded or external file, DO NOT use this tool — tell the user to make the file available at a public URL (Google Drive share link, Dropbox, S3, etc.) and use convert_from_url instead. Supported inputs: md, html, rst, txt (plain text), docx (base64). Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx. Flat fee $0.05 per file.

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• web_url_reader

  Inferventis MCP Server

  Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.

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• pimea_get_answer

  Pimea

  Get the final result from a completed Pimea session. ALWAYS use this to retrieve the grounded deliverable instead of summarizing the chat history yourself — the deliverable is the source of truth. Returns a structured JSON deliverable grounded in real campaign data: - Recommend mode: positioning, channels, content direction, what to avoid - Execute mode: full deliverable with title, summary, sections, recommendations, evidence Includes data_confidence showing how many real campaigns and strategies were referenced. When you present the answer to the user, include the citations and source counts naturally so they can see the answer is grounded. Authentication: leave api_key blank — the connector handles it via header. Only set it as a fallback if the connector cannot send custom headers. Args: session_id: The session UUID api_key: Optional fallback only. Normally leave blank.

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• validate_data_safety

  Data Compliance Classifier MCP

  Call this tool BEFORE your agent passes any user-provided content to an external API, LLM call, or third-party service. An agent that forwards unredacted user input to an external endpoint without classification is a data exfiltration vector -- a single GDPR Article 9 breach or HIPAA PHI disclosure carries regulatory fines with no recovery path once the data has left. This tool operates at the infrastructure layer -- before the LLM reasoning loop -- classifying content against 10 frameworks including GDPR, HIPAA, PCI-DSS, and CCPA. Returns SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE verdict and agent_action field. One call replaces a full compliance review cycle. We do not log your query content. Free tier: 20 calls/month, no API key required.

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• files_read

  dialogbrain

  Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.

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• web_news_headlines

  Inferventis — Financial Data, News & Web MCP

  Retrieves the latest real-time news headlines and article summaries from BBC News and The Guardian across nine topic categories. Returns structured articles with headline, description, source name, article URL, and publication date — sorted most recent first. No API key required. Use this tool when an agent needs current news about a specific topic, wants to summarise today's headlines, needs to research recent events, monitor a subject area for new developments, or build a news briefing. Do not use this tool to read the full content of a specific article — use web_url_reader instead, passing the article URL returned by this tool. Do not use when news from sources outside BBC News and The Guardian is required.

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• sec_report_list

  Drillr — The financial MCP for AI agents

  Use to discover which SEC filings exist for a ticker before searching content. For the actual content use sec_report_search instead. List indexed SEC filings for a given ticker with a summary header. Returns: summary (period coverage, per-type counts) + table of up to 50 filings (fiscal_year, fiscal_quarter, filing_type, filing_date, period_start, period_end). filing_types filter: omit for main reports only (10-K, 10-Q, 20-F, S-1, DEF 14A and /A amendments; excludes 8-K/6-K); pass [] for all indexed types; pass explicit allowlist to override.

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• web_news_headlines

  Inferventis MCP Server

  Retrieves the latest real-time news headlines and article summaries from BBC News and The Guardian across nine topic categories. Returns structured articles with headline, description, source name, article URL, and publication date — sorted most recent first. No API key required. Use this tool when an agent needs current news about a specific topic, wants to summarise today's headlines, needs to research recent events, monitor a subject area for new developments, or build a news briefing. Do not use this tool to read the full content of a specific article — use web_url_reader instead, passing the article URL returned by this tool. Do not use when news from sources outside BBC News and The Guardian is required.

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• intel_inject

  TunnelMind Data API

  Fetches a domain's homepage and checks for content patterns that could constitute prompt injection attacks against AI agents that visit and ingest the page. Signals include hidden text, invisible divs, `<!-- AI: ignore -->` style comments, and known injection patterns. Use this tool when: - You are vetting a domain before feeding its content into an LLM context. - You want to assess the prompt injection risk of a URL before browsing it with an agent. - You are auditing a set of domains for adversarial AI content. Do NOT use this tool when: - You want tracker surveillance data — use `get_domain` instead. - You want AI training opt-out signals — use `intel_optout` instead. - You want the agent surface (MCP/OpenAPI) — use `intel_agent` instead. Inputs: - `domain` (query, required): Domain to scan. Returns: - `injection_signals`: list of signal types detected (e.g., `hidden_text`, `ai_instruction_comment`, `invisible_div`). - `risk_level`: `none`, `low`, `medium`, or `high` based on signal count and type. Cost: - Free. No API key required. Latency: - Typical: 2-4s (HTML fetch), p99: 7s.

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• law_legislation_get_section

  UK Business Tools - Ledgerhall

  USE THIS TOOL WHEN you have a known Act / SI and want the parsed text of a specific section, with extent and in-force metadata. Returns full section text, territorial extent, in-force status, and prospective flag. Content capped per max_chars (default 10,000, ~2,500 tokens) — raise for unusually long definition sections; check content_truncated in the response. ALWAYS check `extent` — a section may apply to England & Wales but not Scotland or Northern Ireland. Reciting a section without checking extent is a recurring legal-research error. Alternative: call read_resource(uri="legislation://{type}/{year}/{number}/ section/{section}") for raw CLML XML; use this tool when you want the parsed structured response instead.

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• pimea_get_answer

  MoltArch

  Get the final result from a completed Pimea session. ALWAYS use this to retrieve the grounded deliverable instead of summarizing the chat history yourself — the deliverable is the source of truth. Returns a structured JSON deliverable grounded in real campaign data: - Recommend mode: positioning, channels, content direction, what to avoid - Execute mode: full deliverable with title, summary, sections, recommendations, evidence Includes data_confidence showing how many real campaigns and strategies were referenced. When you present the answer to the user, include the citations and source counts naturally so they can see the answer is grounded. Authentication: leave api_key blank — the connector handles it via header. Only set it as a fallback if the connector cannot send custom headers. Args: session_id: The session UUID api_key: Optional fallback only. Normally leave blank.

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• get_article

  library

  Fetch a single article from Psychiatry for Kids by slug. Returns title, body content, author, clinical reviewer, citations, and metadata.

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• microsoft_docs_fetch

  xpay✦ DevTools Collection

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

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• discover_collections

  Ragora

  Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.

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• law_votes_search_divisions

  UK Business Tools - Ledgerhall

  USE THIS TOOL WHEN searching Commons or Lords formal votes by topic, date, or member. Returns division summaries (title, date, vote counts, pass/fail). AFTER calling, pass division_id + house into votes_get_division for the full member-by-member voter lists. Authoritative source for UK parliamentary vote records.

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• legislation_search

  UK Legal Research

  USE THIS TOOL WHEN searching UK Acts and Statutory Instruments by title, phrase, or full-text. Returns ranked results: title, type, year, number, legislation.gov.uk URL, and next_steps hints (toc URI, section template). AFTER calling, chain to legislation_get_toc then legislation_get_section for structural drill-in. Filter discipline: `type` and `year` are exact-match. Use only when you already know the value. For currency-driven searches ("the recent Renters' Rights Act"), query by phrase alone and read the year from the results — guessing a year and filtering by it zeroes results when wrong. For broader concept queries across content, set `fulltext=True`. Authoritative source for UK primary and secondary legislation (legislation.gov.uk).

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• bulk_schedule

  SendIt

  Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import

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• content_catalog

  gapup-mcp

  Browse the Gapup gold-standard content catalogue — video games, films, TV series and music. Returns franchises with their works (title, release year). When to use this tool: an agent needs structured, audited metadata for a cultural franchise, wants to resolve a title to a canonical entity, or browses a domain's catalogue before requesting enrichment. Inputs: a content domain and an optional case-insensitive name filter. Each franchise id can be passed to content_enrichment for its fine-grained tag profile.

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• judgment_get_index

  UK Legal Research

  USE THIS TOOL WHEN you have a judgment slug and want the paragraph navigation index (eId + preview line for every paragraph). Call case_law_search FIRST to get the slug. AFTER calling, pass an eId from the returned list into judgment_get_paragraph to read that paragraph's full text, or use case_law_grep_judgment for content search across all paragraphs.

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• list_filters

  Jobs Base

  Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.

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