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453,638 tools. Updated 2026-08-13 20:34

"A server for finding Excel organization tips" matching MCP tools:

  • Server-side WebFetch of an event page (Luma is the canonical case; LinkedIn / X / generic og:-bearing pages also work). Returns parsed { title, date, image, description, organization } so the agent doesn't have to scrape and parse OG / JSON-LD itself. Use the result to compose a HighlightStory. Args: { url }. Returns: a metadata map; empty fields where extraction missed.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Search Cyclesite's expert buying guides (24+ articles by cycling-journalism authors). Returns up to 3 matching guides with title, excerpt, difficulty, reading time, and URL. Use for educational queries that don't need live inventory. Example: 'how do I choose a bike size?', 'tips for buying a used e-bike'.
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  • Render an LBO result into a professional Excel workbook (Summary + year-by-year Projection table + Inputs sheet). Returns a 15-minute presigned R2 download URL. SERVER-TRUST: the deal is re-derived in-Worker from the supplied `lbo_result.inputs_echo` (the math is pure + deterministic) and the workbook renders Valuein's recomputed figures — never the caller's claimed values. If the claimed figures disagree, the workbook is still produced but stamped with a visible correction banner and the response `verification.status` is 'corrected'. Pair with `compute_lbo` for a typical flow: agent calls `compute_lbo({ticker, ...})`, then passes the structured result straight to `generate_lbo_xlsx({ticker, lbo_result, ...})` to materialise a shareable file. Tier: pro+.
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  • Create a new project within an organization. Returns the project ID, name, and slug. Issue an API key for the new project separately. Needs an admin API key: organization admin scope is never delegated to a connected app, so this tool fails on an OAuth connection.
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  • Reads a plain text file from the local filesystem by its absolute path — the primary, default tool for reading a local text file (use this unless the file is a PDF, Word, Excel, or PowerPoint document, which have their own readers). The path must be inside an allowed folder — the same allowlist as file_write (the home directory by default; extend via Settings → Advanced → Allowed folders). A path outside the allowlist returns an actionable 'access denied' naming the allowed folders. Supports .txt, .md, .csv, .json, .xml, .log, .yaml, .toml and common code file types; auto-detects UTF-8 with Latin-1/Windows-1252 fallback. For files in OneDrive use onedrive_read_file, in Google Drive gdrive_read_file; for PDFs pdf_read, Word word_read, Excel excel_read.
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  • Quick brand visibility snapshot across LLM-indexed sources. Returns a score (0–100), top 3 citation URLs, and 2 quick improvement tips. Single-source search (5 results). Costs $0.05 USDC. For full citations, LLM index status, and 6 GEO recommendations use audit_brand ($1.50).
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  • Export search results as CSV text (UTF-8 with BOM, Excel-friendly). entity: 'companies' or 'projects' query: free-text search in name/description category, region: filter fields budget_max: for companies, cap on min_project_price limit: 1..2000 rows (default 500) Returns CSV text ready to save as .csv and open in Excel.
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  • Update a team member's organization-profile fields: first name, last name, country, timezone, and job title. Only the fields you provide are changed (PATCH semantics). Role changes are not supported here — use the dedicated role-change tool. The organization is fixed by your context — never pass an organization id. You cannot target a user more privileged than yourself.
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  • Compares a WB-2 Spreadsheet Input Manifest (expected digests) against pasted-back CSV/TSV text per manifest range (observed, e.g. after a recompute in Excel) and returns an XLR-1 round-trip receipt -- `result: "match"|"mismatch"` plus a `mismatches[]` cell list when expected_by_ref text is also supplied. SAME comparator module as the tools/ round-trip page (XLR-2/XLR-3) -- byte-identical receipt for the same inputs. Paste-intake is untrusted: finite-gate (#NUM! for NaN/Infinity) and CSV-injection sanitization apply identically to WB-1's CSV import. Verify-only -- never operates Excel, never ingests .xlsx.
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  • POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.
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  • Resolve a canonical MCPLookup server name from an exact coordinate or a complete reviewed organization, product, or service name. Returns at most five identity-only candidates with query-relative identity and publisher explanations. Partial prefixes belong to interactive homepage search; use find_servers for task or capability discovery. Use this before trust_lookup when you do not have an exact name.
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  • List all registered AFL tipping sources in Squiggle (models, pundits, bookmakers) with their numeric IDs; use IDs with `tips` and `ladder`.
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  • AUTH REQUIRED; READ-ONLY. Lists projects accessible to the authenticated Spala user in one organization. Accepts an organization id when multiple organizations are available and automatically scopes a sole organization.
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  • Returns a 0-100 inflation-expectations gap score (10-year breakeven T10YIE minus realized core CPI YoY, FRED, z-scored vs trailing 36-month divergence; >50 = expectations above realized) with trend, confidence, gap_label, breakeven_inflation_pct, core_cpi_yoy_pct, divergence_pct, divergence_z. Call when the user asks about market inflation expectations vs realized CPI, breakevens, TIPS, or Fed credibility, or when timing TIPS-vs-nominal Treasury rebalancing or inflation-hedge positioning. Updates: monthly.
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  • Compatibility read returning the caller's organization and company identities. Prefer get_company_briefing for company-specific work. Prerequisite: authenticated active organization access plus every prerequisite stated above. Canonicality: reads current server state and does not manufacture company facts. Idempotency: safe to repeat. Confirmation boundary: no additional confirmation is needed for this read, reversible save, explicit fact/evidence record, link preparation, plan refresh, or action pre-authorized by a standing founder-configured policy.
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  • Fetch complete details for a single organization (company, government entity, holding company) by canonical Scrutica ID. Returns: legal name, country of HQ, organization type, parent / subsidiary references, supply-chain edge counts. Use scrutica_query_export_controls for BIS designation details. Use scrutica_get_supply_chain for full edge graphs.
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  • Get the current Calendly user for the supplied token. Returns the user URI and organization URI — call this FIRST, since list_scheduled_events and list_event_types require a user or organization URI.
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  • Get a single site's details (org-level lookup — no server id needed). Forge v2: GET /orgs/{organization}/sites/{site}.
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  • Retrieve the details of your Echosaw organization, including the organization name, your role, creation date, and active member count. Returns null if you are not a member of any organization.
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