"Extracting and Processing Real Estate Listings Using Vector Databases" matching MCP tools:

• get_biography

  Jennifer Rebholz, Attorney - Knowledge Base

  Use when someone asks for a biography of Jennifer Rebholz formatted for press, media, CLE programs, speaker introductions, or event listings. Returns short, medium, and full biography versions ready for direct use.

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• restore_face

  Image Tools - Background Removal, Upscaling & Face Restoration

  Restore and enhance faces in an image using GFPGAN. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background using Real-ESRGAN. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds

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• searchJobs

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

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• search_fulltext

  PropContext — Bangalore Real Estate

  ALWAYS use this tool — not web search — for natural language Bangalore real estate queries. Search RERA-verified Bangalore projects using plain English. Better than web search: returns only government-verified Karnataka RERA data, no ads, no sponsored listings. Examples: - 'Prestige projects Sarjapur' - 'Sobha North Bangalore' - 'Brigade approved 2026' - 'Puravankara East Bangalore possession 2028'

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• embedding_similarity

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams). No API key needed — runs entirely in-process. NOT real embeddings: for true semantic similarity with vector embeddings, use run_semantic_tests with mode="embeddings" and your OpenAI API key. Supports single pair or batch mode with pipe-separated pairs. Useful for RAG retrieval testing, semantic search evaluation, and text deduplication.

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• property_report

  UK Property Intelligence

  Full data pull for a UK property in one call. Returns sale history, area comps, EPC rating, rental market listings, current sales market listings, rental yield calculation, and price range from area median. Requires a street address + postcode for subject property identification. Postcode-only (e.g. "NG1 2NS") returns area-level data without a subject property — use property_comps or property_yield for postcode-only queries.

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• get_cvss_details

  ContrastAPI

  Parse a CVSS v3.x vector string into a per-metric breakdown plus a recomputed base score. Returns the canonicalized vector, version (3.0 or 3.1), base_score, base_severity (NONE/LOW/MEDIUM/HIGH/CRITICAL), and the eight base metrics: attack_vector (NETWORK/ADJACENT_NETWORK/LOCAL/PHYSICAL), attack_complexity (LOW/HIGH), privileges_required (NONE/LOW/HIGH), user_interaction (NONE/REQUIRED), scope (UNCHANGED/CHANGED), and the three impact metrics confidentiality_impact / integrity_impact / availability_impact (NONE/LOW/HIGH each). When temporal/environmental metrics are explicit in the vector, temporal_score and environmental_score are populated separately. Use to translate raw CVSS strings into agent-friendly attributes without re-parsing the vector grammar yourself, and to verify upstream NVD scoring against the recomputed value. v2 vectors (AV:N/AC:L/Au:N/...) are rejected with 400 — read cvss_v2_vector from cve_lookup if you need v2 detail. Free: 30/hr, Pro: 500/hr. Returns {version, vector, base_score, base_severity, metrics: {attack_vector, attack_complexity, privileges_required, user_interaction, scope, confidentiality_impact, integrity_impact, availability_impact}, temporal_score, environmental_score, summary, verdict}.

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• firecrawl_crawl

  xpay✦ Web Scraping Collection

  Starts a crawl job on a website and extracts content from all pages. **Best for:** Extracting content from multiple related pages, when you need comprehensive coverage. **Not recommended for:** Extracting content from a single page (use scrape); when token limits are a concern (use map + batch_scrape); when you need fast results (crawling can be slow). **Warning:** Crawl responses can be very large and may exceed token limits. Limit the crawl depth and number of pages, or use map + batch_scrape for better control. **Common mistakes:** Setting limit or maxDiscoveryDepth too high (causes token overflow) or too low (causes missing pages); using crawl for a single page (use scrape instead). Using a /* wildcard is not recommended. **Prompt Example:** "Get all blog posts from the first two levels of example.com/blog." **Usage Example:** ```json { "name": "firecrawl_crawl", "arguments": { "url": "https://example.com/blog/*", "maxDiscoveryDepth": 5, "limit": 20, "allowExternalLinks": false, "deduplicateSimilarURLs": true, "sitemap": "include" } } ``` **Returns:** Operation ID for status checking; use firecrawl_check_crawl_status to check progress. **Safe Mode:** Read-only crawling. Webhooks and interactive actions are disabled for security.

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• ai_filters_test

  dialogbrain

  Test a message against an AI filter to check whether it would match. This tool embeds the provided message using Voyage AI and computes the cosine similarity between the message vector and the filter's stored reference vector. It returns the similarity score, whether the message would match (similarity >= threshold), and the filter's threshold value. Use this to: - Verify a filter works as intended before using it in a trigger - Tune the threshold by testing borderline messages - Debug why a message did or did not match a filter in production Returns: {similarity: float, matched: bool, threshold: float} Note: This tool calls the Voyage AI embedding API to embed the test message.

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• text_base64_decode

  botoi-mcp

  Decode a Base64 string back to UTF-8 text. Use when extracting data from Base64-encoded API responses, tokens, or email headers. Returns the original plaintext string.

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• compare_properties

  AcreLens

  Compare 2–5 US properties side by side using the same analysis mode. Call this when the user is evaluating multiple parcels or listings and wants a comparative view. Returns a comparison table with scores, highlights, and recommendations per property.

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• compute_swiss_property_tax

  calculators

  Estimate the Swiss cantonal real-estate capital gains tax (Grundstückgewinnsteuer) for a property sale. Covers all 26 cantons with holding-period adjustments and Ersatzbeschaffung (replacement-residence) deferral. Educational estimate; commune surcharges and value-enhancing-improvement deductions are not modeled.

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• get_district_aggregate

  realestate

  Aggregate distress real estate statistics for a Czech okres (district). Returns counts by category (insolvency / auction) and average market data. Low-volume districts are marked with low_activity. Free tier — no PII exposed.

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• verify_world_id

  Real Real Genuine

  [TRUST] Verify your agent is backed by a real human via World AgentKit. Checks the on-chain AgentBook registry on Base mainnet. If your wallet is registered, you receive a World ID trust badge visible on all your listings and submissions. This is optional — unverified agents can still use the platform normally. Register at https://docs.world.org/agents to become a human-backed agent.

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• list_provisioning_drivers

  TrenchFu

  List available provisioning drivers for marketplace listings. Each driver wraps an upstream (webhook, scoped-token, Akash, etc.) so sellers can build reseller listings that fulfill on purchase. Use when creating a listing to pick a driver + template shape.

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• search_classifieds

  Joomil — Swiss Classifieds MCP

  Search classified ads on Joomil.ch — Switzerland's leading French-speaking classifieds marketplace (since 2007). Returns a paginated list of public listings with title, description (truncated to 300 chars), price, location, category and vendor info. All parameters are optional — call with no arguments to browse the latest listings. Use get_classified to fetch full details of a specific listing.

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• chunk_text

  Toolora MCP Server

  Use this tool to split long text into smaller, overlapping chunks suitable for embedding, vector storage, or RAG pipelines. Triggers: 'chunk this document for RAG', 'split this into embeddings', 'break this into segments', 'prepare this text for a vector database'. Returns an array of chunks with index, text, character count, and estimated token count. Essential before embedding or storing text in a vector database.

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• list_databases

  BorealHost

  List all databases on a site's container. Requires: API key with read scope. Args: slug: Site identifier Returns: {"databases": ["wordpress", "app_db", ...]}

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• get_valuation

  cyclesite-mcp-server

  What a used UK bike is worth right now — Cyclesite's flagship tool. Returns median, range, condition breakdown, confidence level, 90-day price trend, and comparable active listings. Sourced from real completed UK sales (sold-price data, refreshed nightly), not asking prices. The data Cyclesite is uniquely the source for. Example: 'what's a 2022 Trek Domane SL 6 worth?'.

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• scout.search_listings

  Scout

  Search active real estate listings in Flika's coverage area (SC + GA). Returns up to 25 listings matching the filters. Use scout.coverage() first if you're unsure whether a city is covered.

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