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338,153 tools. Last updated 2026-07-30 04:33

"Python context management and dependency solving in ComfyUI" matching MCP tools:

  • Find the right DataNexus tool by describing your task in plain English. Read-only. No side effects. Call this before any other DataNexus tool to reduce context load from 40000 to 800 tokens. query: Plain English description of your task e.g. check if a Python package has CVEs or look up a UK charity by name. Required. domain: Restrict results to one sub-server: nonprofit, security, compliance, domain, legal, govcon, or regulatory. Optional. Returns matching tool names and parameter hints you can call directly. Do not call this recursively or to validate results — use validate_tool_output for that. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="search_datanexus_tools", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • IMPORTANT: You MUST call this tool to generate any file. Do NOT write code as text. Do NOT tell the user to run code themselves. ALWAYS pass the code to THIS tool and return the download_url to the user. Execute Python code in an isolated Jupyter kernel and return output text + any generated files as base64 and download URLs. YOU MUST USE THIS TOOL when user asks for: - PPT / presentation / slides / deck → use python-pptx, call this tool - PDF / document / report → use reportlab, call this tool - Chart / graph / plot / visualization → use matplotlib, call this tool - Excel / spreadsheet → use openpyxl, call this tool - Word document → use python-docx, call this tool - ANY file generation task → call this tool WORKFLOW — follow exactly: 1. Write the complete Python code 2. Call THIS tool with that code 3. Get back download_url from the result files list 4. Show download_url to user as a clickable link NEVER skip step 2. NEVER output code as text to the user. Pre-installed packages (no pip install needed): python-pptx → PowerPoint presentations reportlab → PDF creation matplotlib → charts and graphs pandas → data analysis numpy → numerical computing python-docx → Word documents openpyxl → Excel files plotly → interactive charts seaborn → statistical charts Pillow → image processing pypdf → read/merge/split PDFs pdfplumber → extract text and tables from PDFs File saving rules — MUST follow: Save ALL files to current directory — NO path prefix prs.save("presentation.pptx") ← PowerPoint plt.savefig("chart.png", dpi=150) ← matplotlib chart df.to_excel("report.xlsx") ← Excel Always print() the filename after saving
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  • French financial regulator (AMF) alerts and registers: screen a name against the official AMF blacklists (unauthorized investment websites, scams, AMF impersonation) and look up PSAN crypto-provider registrations and licensed asset-management companies (SGP) by name or SIREN. Use before trusting an investment site, a crypto provider or an asset manager operating in France. Official AMF open data, refreshed daily. Paid via x402 ($0.01 in USDC or EURC).
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  • Persistent SBOM watch. Register once, check anytime for new CVEs affecting your dependency snapshot. Silent permanent watch — CycloneDX and SPDX supported. Uses OSV.dev for vulnerability lookup, Redis for persistence with 90-day TTL. Supports CycloneDX 1.4/1.5 and SPDX 2.3 JSON. Input size limit: 500 KB. Returns go_no_go signal on register; new_findings on check. Rate limit: 10/minute. No auth required. For DevSecOps teams monitoring production dependency exposure. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_audit_sbom_continuous", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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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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  • Quick rack space and weight sizing calculator for homelab and small data center racks. Enter your devices with their height in rack units, weight, and wattage to get total utilization, remaining free space, weight totals in lbs and kg, and recommended PDU count based on the NEC 80% continuous load rule (1920W per 20A/120V PDU). Estimates cable management overhead at 2U per 10U of installed gear. Outputs total_watts that chains into power_cost and cooling_btu for full infrastructure planning.
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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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  • Return the verified implementation of an Owl Group Trading indicator in a given platform. Args: slug (e.g. 'rl10', 'dragon', 'river-flood-plain') and platform (e.g. 'python', 'javascript'). Returns the commented source code, the verification proof (real Python-vs-JS parity), the summary, and the page URL. Call list_indicators first to see valid slugs and platforms.
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  • [duvera · risk:low] Look up the current version, summary, license, and homepage of a Python package on PyPI. No account required.
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  • Look up a hotel booking by its management token (sent in the confirmation email). Returns the booking status, hotel, dates, and guest details.
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  • Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.
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  • Fetch forward consensus revenue/EPS/EBITDA estimates, management guidance ranges, and estimate-revision percentages for one exact Bullrun ticker. Also derives simple forward P/E and PEG-style context from the latest close when EPS estimates are available. Read-only.
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  • Fetch speaker-tagged earnings-call transcript chunks for one exact Bullrun ticker, optionally filtered by fiscal period or search text. Use this for management guidance language, analyst Q&A, and qualitative judgment that is not visible in financial statements. Read-only.
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  • Run agent code (python / javascript / bash) in an isolated sandbox (no network, CPU/RAM/time limits) and get stdout/stderr/exit_code back. Charged from agent balance; returns payment_required if insufficient (then topup_balance and retry).
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  • Submit an async inference request to a deployment. Backs ``POST /prod/v1/deployments/{deployment_id}/inference``. Args: deployment_id: Target deployment. overrides: Partial graph keyed by node_id, e.g. ``{"6": {"inputs": {"text": "a cat"}}}``. Use ``get_deployment(include_payload=true)`` to discover node IDs and input names. workflow_api_json: Advanced — run a different workflow without updating the deployment. Omit ``overrides`` in this mode. extra_data: E.g. ``{"api_key_comfy_org": "comfyui-..."}`` for ComfyUI Core API nodes. webhook_url: Push-based updates instead of polling. webhook_intermediate_status: Fire webhooks on every status change, not just terminal. wait_for_completion: If true, poll until done and return the result inline. timeout_seconds: Max wait when wait_for_completion=true. File inputs: pass a public HTTPS URL or Base64 data URI directly in the overrides value, e.g. ``{"189": {"inputs": {"image": "https://example.com/photo.jpg"}}}`` or ``{"189": {"inputs": {"image": "data:image/jpeg;base64,/9j..."}}}``.
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  • Look up a hotel booking by its management token (sent in the confirmation email). Returns the booking status, hotel, dates, and guest details.
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  • Multi-hop traversal from a claim over typed relation edges of ONE class. Default walks the epistemic §7 edges transitively (support/extend/qualify/refute/background/shared_evidence/same_as); relation_class="engineering" walks the ENG_DEPENDS_ON/ENG_SATISFIES dependency graph. direction="out" = forward (dependencies / cited); "in" = reverse (impact set — who depends on this). ★ This `direction` is the TRAVERSAL direction of the read and has NOTHING to do with the `direction` FIELD on a relation record — different thing, same name. Do not copy in/out into a record. For engineering it also returns cycle_detected (start claim in a dependency cycle). Class label-spaces are disjoint — a §7 walk never crosses into engineering edges and vice versa.
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  • Two market-wide institution leaderboards in one call: topByAum (largest holders by assets under management, name-deduped) and mostActive (highest 13F position-change volume). No CIK required. For the full paginated AUM list use get_institution_top_aum.
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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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