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537,124 tools. Updated 2026-09-08 20:13

"A resource for solving equations" matching MCP tools:

  • Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.
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  • GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.
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  • Retrieve one complete prepared resource profile, including evidence-backed facts and primary-source provenance, by its stable resource ID.
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  • Run a raw SoQL query against any Los Angeles open-data resource (data.lacity.org) by its Socrata id (8-char like "2nrs-mtv8"). Full SoQL: where/select/group/order/limit/offset. Use la_datasets to find a resource id, or la_recent for the common ones.
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  • Convert a Control Plane resource manifest (YAML or JSON) into the equivalent Terraform (HCL). The manifest is first DRY-RUN VALIDATED against the API (no resource is created) — if it fails validation you get the error instead of HCL, so the returned Terraform always corresponds to a schema-valid resource. Pass `gvc` when the kind is GVC-scoped (workload, identity, volumeset). Set `generateImports` to also return ready-to-run `terraform import` commands. To convert an EXISTING resource instead of a manifest, use export_terraform.
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  • Calculate structural engineering beam mechanics: maximum elastic deflection, peak bending moment, and maximum flexural stress for a center point load on a simply supported Euler-Bernoulli beam. Behavior: Deterministic, idempotent calculation with zero external side effects. Evaluates Euler-Bernoulli beam equations: Max Moment M_max = (P * L) / 4; Max Deflection delta_max = (P * L^3) / (48 * E * I); Peak Bending Stress sigma_max = (M_max * y) / I. Converts area moment of inertia from cm^4 to m^4 and extreme fiber distance from mm to m. Returns deflection in mm, moment in N*m, and stress in MPa. Usage Guidelines: Use for civil, structural, and mechanical engineering beam sizing and load checks. Do not use for fluid pipe friction or pressure drop; use pipe_flow instead.
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Matching MCP Servers

Matching MCP Connectors

  • Reference text on greenfield analysis — clean-slate facility-location math. Covers the weighted center-of-gravity (Weber) formulation, Weiszfeld's iterative algorithm, Lloyd's-style alternating location-allocation for N facilities, service constraints (% demand vs % customers within a distance band), and the inverse problem of solving for minimum N. Also covers when to use greenfield vs facility selection (the open/close MIP). Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does greenfield analysis work' or 'where would I put my DCs' question. ChiAha's GreenfieldAnalysis engine powers the US Greenfield Design demo on the sandbox.
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  • Retrieve the final output of a completed async job. Call ONLY after check_job_status returns status='COMPLETED' — calling on a job that has not completed returns an error. Returns JSON whose shape depends on jobType: video/video-image → { videoUrl, duration }; image-3d → { modelUrl } (GLB format); transcription → { text, language, segments }; epub-audiobook → { url, annexeUrl, totalChapters, completedChapters } (annexeUrl is a companion PDF of equations, tables, addresses, keys and hashes the narration replaces with a spoken marker; null when the book had none); ai-call → { transcript, duration, summary }. All URLs are temporary (valid ~1 hour) — download immediately. This tool is free and does not require payment. Do NOT use for synchronous tools — those return results directly.
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  • Unshare Workspace Resource. Removes any existing role on a workspace resource from a user, group, or workspace (service account) API key. To target a user or service account, pass only the user email; the user must be in your workspace. To target a group, pass only the group id. To target a workspace (service account) API key, pass the api key id; the resource will be unshared from the service account associated with that key. You must have admin access to the resource to unshare it. You cannot remove permissions from the user who created the resource. Bulk support: accepts resource_ids, group_ids, workspace_api_key_ids for batched execution.
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  • Recover one reversible failed resource in a temporary anonymous demo simulation. Lower traffic to a serviceable level first, then provide resourceId or resourceName from simulation.create, simulation.step, or simulation.metrics. This deactivates applicable instance_down/database_overload failures for only the selected resource and returns recoveryProgress with parked, cooling_down, or healthy state plus cooldown counters. It cannot restore an instance_kill because that failure permanently removes the resource. The likely next tool is simulation.step; keep stepping and inspect the targeted resource until recoveryProgress.state is healthy. Pass simulationId from simulation.create when using a fresh MCP session; a preserved session may omit it. Authenticate with an API key to unlock all 61 tools and unlimited simulations.
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  • Get the next logical solving step for a sudoku puzzle, optionally from a partially-filled state. TWO-BOARD MODE (puzzle + progress) — use when you know both the original clue grid and the user's current work: puzzle: the original 81-char clue string (the given digits only, 0/. for empty cells). progress: the user's current 81-char board — must keep all original clue digits in place. This mode detects incorrect entries: if any user-filled cell contradicts the solution, the tool returns incorrect_cells instead of a step hint, so the user can correct errors before continuing. Use this when the user is solving a puzzle they received from get_sudoku_puzzle (puzzle is known). SINGLE-BOARD MODE (puzzle only, no progress) — use when the original clue grid is unknown (e.g. photo OCR): Pass the user's current full board as puzzle with no progress argument. The tool treats the board as both the clue grid and the current state, so it will not perform error checking (it cannot distinguish given digits from user entries). It simply returns the next logical step. Use this when you cannot separate the original clues from the user's entries. Returns: { technique, explanation, action, tutorial_links } on success, or { incorrect_cells, message } if errors found. Use this for step-by-step coaching — one hint at a time. Every response includes a solve_url for continuing the same board interactively and, on success, tutorial_links for the named technique.
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  • Run a raw SoQL query against any Cincinnati open-data resource (data.cincinnati-oh.gov) by its Socrata id (8-char like "k59e-2pvf"). Full SoQL: where/select/group/order/limit/offset. Use cincinnati_datasets to find a resource id, or cincinnati_recent for the common ones.
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  • Return a short, human-readable walkthrough for testing this server: the endpoint, the tool/prompt/resource names, and ready-to-paste sample prompts. Use to give someone a guided demo. For the full machine-readable capability catalog, use list_capabilities instead.
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  • Use this when you have four of the five time-value-of-money variables (N periods, I/Y annual rate percent, PV, PMT, FV) and need the fifth - annuity, loan, or investment problems - instead of solving the equation by hand. Solving for I/Y uses Newton-Raphson (no closed form). Supports compoundingPerYear and annuityDue (payments at the beginning of each period). Follows the cash-flow sign convention (outflows negative). Deterministic: same input, same output. Example: solveFor 'fv', n 120, iy 6, pv -10000, pmt -200, compoundingPerYear 12 -> result 50969.84. result holds the solved value; iy is rounded to 4 decimals, all others to 2.
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  • Get webhook delivery history, either for a resource or for a webhook. Query in exactly one of two modes: - By resource: pass `resource_type` + `resource_id` to see deliveries made for a specific job/monitor/monitor_group. - By webhook: pass `webhook_id` to see every delivery made through one webhook — including manual test deliveries (from `test_webhook`), which are not tied to a job or monitor and only appear in this mode.
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  • Creates an invoice for this company. The issuer data comes from the company in the path, and the document is created as a draft unless you ask for it to be issued. - **Issuing:** `options.issue_directly` numbers and issues the invoice in the same call. Submission to the AEAT is asynchronous, so `verifactu.submission_status` comes back as `PENDING`: a 2xx means the invoice was accepted for submission, not that the AEAT has registered it. - **Document type:** `type` chooses the document. A `PROFORMA` is non-fiscal — it is born `ACTIVE`, numbered `PRO-...` from its own non-fiscal series, and ignores `issue_directly`. - **Related:** to copy an existing invoice into a new draft, use `POST …/invoices/derivations`, which carries neither `type`, nor `recipient`, nor `lines`. Endpoint: POST /v1/companies/{company_id}/invoices ⚠️ Fiscal guardrails — read before calling: - How BeeL derives the AEAT invoice type, and the rules each type imposes. (resource: beel://guardrails/invoice-types) - How a line states its price, and which field combinations are rejected. (resource: beel://guardrails/invoice-lines) - What regime_key means, where it lives, and which combinations are rejected. (resource: beel://guardrails/regime-keys) - Why a name that does not match the census makes an invoice unsubmittable. (resource: beel://guardrails/nif-validation) - Why an issued invoice may never reach AEAT, and how to tell before issuing. (resource: beel://guardrails/verifactu-gates) - How invoice numbers are formed, and why numbering can never be rewritten. (resource: beel://guardrails/series-and-numbering) For the exhaustive rules and worked examples, call beel_docs_search.
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  • Compute Ordinary Least Squares (OLS) bivariate linear regression best-fit trend line (y = m*x + c), Pearson correlation coefficient (r), and coefficient of determination (R^2). Behavior: Deterministic, idempotent calculation with zero external side effects. Evaluates sample means, covariance, and variances to solve slope m = Cov(X,Y) / Var(X) and intercept c = mean(Y) - m*mean(X). Computes Pearson r, R^2, standard error of estimate, and generates predicted y-values for each input x. Usage Guidelines: Use for trend forecasting, scientific scatter data fitting, and correlation analysis. Do not use for solving analytical quadratic or linear systems; use casio_991_solve instead.
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  • Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.
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  • Estimate PCB component temperatures by solving a thermal resistance network (thermal↔electrical analogy) with the built-in MNA solver. Each component gets a junction node (package θjb from a typical-datasheet table), a local board node coupled to its neighbours through in-plane FR4/copper conduction, and convection to ambient. Computes per-component junction and case temperatures, board extremes, and flags max-junction violations. Runs instantly in-worker; mesh-level CFD via container backend is planned.
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  • Fetch any URL through Bright Data Web Unlocker — rotating residential proxies with automatic anti-bot bypass and CAPTCHA solving, built for the hardest-to-scrape sites (Cloudflare, PerimeterX, Akamai fronted). Returns the page content with status and length; large pages are truncated. Calls proxy the fetch synchronously and can take 10-30 seconds. BYOK: Bright Data API token via _apiKey + a Web Unlocker zone configured in your dashboard (first zone is auto-named "web_unlocker1"); pay-per-request pricing on the Bright Data side. Example: brightdata_unlock({ url: "https://example.com", _apiKey: "your-brightdata-token" })
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  • Full JSON-LD of a DanNet resource: a synset ("synset-3047"), word ("word-11021628") or sense ("sense-21033604"), given bare or prefixed ("dn:synset-3047"), or an external resource by prefix ("ili:i76470", "ontolex:LexicalConcept"). Properties use prefixed names (wn:hypernym, ontolex:isEvokedBy, ...); language-tagged values are {"@value": ..., "@language": ...}.
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