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280,633 tools. Last updated 2026-07-10 03:06

"A tool for finding lost sales leads by salespeople" matching MCP tools:

  • Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.
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  • Look up grantmaking organizations by name, topic, or location. This tool searches 174K+ grantmaking organizations from IRS data using organization names plus grant-purpose/topic signals. Use it when you know the funder's name, want aligned funders for a cause area, or want to browse by location/size/NTEE code. Multi-word searches are ranked by relevance; simple browse/name fallback results are ordered by total assets. IMPORTANT: Use search_open_grants when the user needs active grant programs or RFPs. search_funders is for finding aligned grantmakers, including ones that may fund by relationship, LOI, or annual cycle rather than a live call.
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  • List all tags currently used across templates in your Carbone account. Tags are free-form labels attached to templates (e.g. "sales", "billing", "v2"). Note: the Carbone API does not support filtering list_templates by tag — use this tool to discover available tags, then call list_templates and filter the results manually.
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  • DESTRUCTIVE: Restore an app to a previous version using git reset --hard. This permanently overwrites all current files with the state from the specified commit — any changes made after that commit will be lost and CANNOT be recovered. You MUST confirm with the user before calling this tool. Use list_versions to show the user available versions first.
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  • Download a synthetic HTML sales report for a given period. Period logic: omit all date fields to get yesterday's report; provide y only for a full-year report; y + m for a full-month report; y + m + d for a specific day. Returns an HTML summary including total revenue, number of orders, breakdown by department, VAT summary, and payment methods.
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  • Google X-Ray search for public LinkedIn profiles via Google operators (site:linkedin.com/in). Useful when you don't want to consume LinkedIn search limits. Found profiles are saved into your contacts (in a 'Google X-Ray' list, deduplicated by profile URL) and the tool returns their contact_id values. To move them into the CRM, add them to a campaign with add_contacts_to_campaign (auto-creates CRM leads) or use a CRM tool like set_deal_stage. Paginates Google results and auto-filters duplicates.
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Matching MCP Servers

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    Lead generation MCP server for AI agents. Find emails, verify contacts, enrich profiles, and search prospects using Hunter.io, Apollo.io, and Abstract API.
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    MIT
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    This read-only MCP Server allows you to connect to Oracle Sales data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
    Last updated
    MIT

Matching MCP Connectors

  • B2B lead generation for Japan: search 1M+ companies by size, capital, location, and government-subsidy history, with executive names and procurement records.

  • AI sales — prospect discovery, ICP scoring, outreach generation.

  • Analyze the user's CLOSED deals (won + lost) to surface which attributes actually predict wins. Computes win rate per attribute value WITH sample size, and ranks attributes by the spread between their best- and worst-converting values — the data version of the win-rate-by-signal motion. By default cuts by source, type, and owner; pass `attributes` to add any field present on the deals (e.g. segment, competitor, size). Values below `minSample` (default 5) are suppressed as noise. Accepts loosely-typed deal records; needs an `outcome` of won/lost (aliases: outcome/status). Returns the ranked attributes with per-value win rates and the reallocation takeaway. Operates only on supplied deals. Use when the user asks 'which sources/signals convert best', 'why are we winning/losing', or pastes closed-won and closed-lost deals.
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  • Return a capped sample of recent comparable SOLD listings for a trading card (price + sale date), plus a market snapshot (median, range, sample size). Use this when a user asks 'what is this card selling for', 'recent sales', or 'comps'. Accepts a natural-language `query` or a structured `item`. Figures are estimates from recent sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only.
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  • Get aggregate dining statistics for a neighborhood, city, or region: cuisine breakdown, grade distribution, price range, top neighborhoods, and highlighted restaurants. Use this for area-level context ("what is the dining scene like in Shoreditch?"), NOT for finding a specific restaurant or getting a personal recommendation. For "find me a quiet Italian near Shoreditch", use the recommend tool instead.
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  • Poll this between steps: returns active + recently-finished AI jobs (scope by project_id, or style_id for style analysis), plus per-segment- asset render statuses for projects. A step is done when its jobs reach status=complete (or error, with a user-readable message). NOTE: finished jobs drop out of `jobs` after ~30s — a short list does NOT mean work was lost; judge render batches by `segment_assets` statuses (or get_pipeline_progress), never by counting jobs. Prefer await_jobs over polling this in a tight loop.
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  • DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. # delete_file ## When to use DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. ## Parameters to validate before calling - file_token (string, required) — The file token (UUID) of the file to delete. Get via fetch_files. ## Notes - DESTRUCTIVE — IRREVERSIBLE. Always confirm with the user before calling. Explain what will be lost.
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  • USE WHEN the user has manually posted to a channel returned by chieflab_use_manual_fallback (Product Hunt / HN / Reddit / Discord / etc.) and wants to feed the live URL back to ChiefLab so the closed loop continues. Records the URL on the original publishAction (status flips from 'approved' to 'executed' with metadata.executedManually=true + metadata.publishedUrl), persists a proof_asset to the P9 company brain, and queues 24-hour metrics readback via chiefmo_post_launch_review. Without this tool, manually-posted channels are lost to ChiefLab's measurement loop.
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  • Request an informational introduction — to TESSA itself, or to any directory firm if you pass target_firm_slug. TESSA logs the lead and either notifies sales@tessa.tech + kevincallen@tessa.tech (TESSA leads) or forwards a warm intro email to the firm with TESSA Cc'd (directory leads). No calendar booking — use request_strategy_session to book a meeting with TESSA.
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  • Legacy auth-required tool — prefer the open UCP flow (create_cart → create_checkout → complete_checkout) for credentialless checkout. Use submit_enquiry only when the customer wants a sales team follow-up by email rather than paying online. Requires Bearer token. Pass a configure_product output plus customer name, email, and phone. Team responds within 24 hours.
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  • Legacy auth-required tool — prefer the open UCP flow (create_cart → create_checkout → complete_checkout) for credentialless checkout. Use submit_enquiry only when the customer wants a sales team follow-up by email rather than paying online. Requires Bearer token. Pass a configure_product output plus customer name, email, and phone. Team responds within 24 hours.
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  • Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Use this first when a user names a card in prose and you need its canonical fields before looking up sales or market value. Returns a confidence level and which fields were resolved. This does NOT price the card or return sales — use search_card_sales or summarize_card_market for that. Trading cards only.
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  • START HERE for any company question: one call returns the full insider picture for a ticker or company name - current 5%+ stakeholders (13D/13G), insider buy/sell activity (Form 4), announced sales (Form 144), and recent material events (8-K). Every row links its SEC filing; drill_down names the tool for each deeper question.
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  • USE WHEN finding documentation sections that match specific terms across all Pine Script v6 docs. Returns up to max_results sections ranked by match count, each with a preview and a get_section() call hint. AFTER calling this tool, call get_section(file, header) for each result you want to read in full. Data sourced from bundled Pine Script v6 documentation.
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  • Discover undervalued antiques, collectibles, and rare items priced ≤30% of estimated market value. Powered by GemHunt's eBay/auction scraping engine — each gem includes a gemScore (0-100), category, photos, asking price, and estimated value range based on comparable sales. Use to find arbitrage opportunities or rare finds. Filter by minScore (default 60) for 'strong_gem' status.
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  • Query vulnerabilities for multiple packages in one call — the primary tool for dependency audits, SBOM scanning, and lockfile triage. Pass an array of {name, ecosystem, version} tuples (up to 1000). Each entry in the response corresponds positionally to the input. Each finding includes CVE aliases for chaining to nist-nvd-mcp-server for CVSS scoring.
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