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742,369 tools. Updated 2026-11-04 15:25

"A server for connecting AWS infrastructure to a real-time AI-powered dashboard" matching MCP tools:

  • Read status, probe progress, and optional results for a queued infrastructure AI Visibility run. Poll compact status while queued or running. Set include_results only after completion or when the user explicitly needs full response and citation data. For large runs, page with results_offset/results_limit (ca_result reports results_total), or fetch one answer at a time with get_sleepwalker_prompt_response; the summary always covers the full run.
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  • Get live public-transport departures with real-time delays for a stop. Sourced from GTFS-RT/HVV/VGN. Unlike the static stop list (``get_city_resource(slug, resource='transit')``), this returns minute-fresh departures including delay for ONE stop. A ``stop_id`` is required: fetch the city's transit stops first to discover valid stop IDs, then pass one here. Read-only.
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  • Kick off an AI-drafted motion using a saved PrimaCoda matter as the source of facts. Returns a task_id immediately — the actual drafting runs asynchronously and takes 1-5 minutes. Poll with check_motion_status. Use this instead of asking the customer to upload PDFs again. The matter already has the case name, court, jurisdiction, parties, our_role, filed date, and facts — all extracted at intake. Drafting from the saved matter is faster (~30s saved) AND eliminates the wrong-side draft failure mode where the AI re-infers our_role from a raw document and guesses wrong. Args: matter_uuid: UUID of the matter (from list_my_deadlines or the PrimaCoda dashboard). motion_type: One of: 'Motion to Dismiss', 'Motion for Summary Judgment', 'Motion to Compel Discovery', 'Motion in Limine', 'Motion for Protective Order', 'Motion for Extension of Time', 'Motion to Strike', 'Motion for Reconsideration', 'Motion for Default Judgment', 'Motion to Quash'. Other values pass through. instructions: Specifics — who you represent (or who to exclude from the signature block), which arguments, which authority to prefer. Strongly recommended: vague instructions yield vague motions. api_key: Your PrimaCoda MCP API key (starts 'pck_').
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  • Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }
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  • Authenticate with Neuron. Three modes: 1. No args: Opens a browser URL for secure authorization (recommended — no credentials shared with AI) 2. token: Paste an MCP token from the Neuron dashboard 3. email+password: Legacy login (credentials visible to AI)
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  • Start a Hokai directory listing for an AI tool, model, agent, MCP server, skill or AI service. Returns a payment link: a PERSON must open it and pay the one-time fee. Nothing is charged by this call, and the submission is reviewed by a human (full refund if the product is not a fit). Paying never affects rankings. Only call this when the product's owner or their team asked for it, and use their real work email: Hokai emails it when the page goes live. Args: tool_url: the product's own website, e.g. https://example.com email: a work email for the vendor company: company name (optional) note: anything the editors should know (optional)
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.
    1
    MIT

Matching MCP Connectors

  • Indicative UK skip hire prices by town, council skip permit rules and skip size recommendations.

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Get a temporary upload URL (valid 1 hour) to send a file of the eBook: kind=pdf — your own PDF as the eBook of a language that has no eBook yet (up to 15 MB); kind=logo — a PNG/JPEG logo for the eBook (up to 5 MB). The URL is a credential: don't show or share it. Send the file with an HTTP PUT to upload_url with the Content-Type header exactly as returned. Then: PDF → panda_confirm_ai_ebook_pdf; logo → pass logo_key in ebook_config of panda_update_ai_resource (existing eBook) or panda_generate_ai_resource. Your client must be able to send files over HTTP; otherwise use the dashboard (Video Settings → Panda AI → eBook).
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  • Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity. Default response is SLIM (description truncated to 240 chars per row); pass include='full' for the verbose record. Pass exclude_id when chaining from atlas_technique_lookup to skip self in sibling-tactic searches. Use this to discover techniques matching a threat-model question, e.g. 'what techniques target LLM serving infrastructure?'. Drill into atlas_technique_lookup with any returned technique_id for the full description, ATT&CK bridge, and pivot hints. For broader cross-referencing: when a result has attack_reference_id, that bridges to D3FEND mitigations via d3fend_defense_for_attack. Free: 30/hr, Pro: 500/hr. Returns {query (echoed filters), total, results [{technique_id, name, description (truncated by default), tactics, inherited_tactics, maturity, attack_reference_id, subtechnique_of}], next_calls}.
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  • WORKFLOW: Step 4 of 4 - Deploy infrastructure to the cloud Deploy infrastructure by starting a Terraform job for an InsideOut session. This tool initiates the actual deployment process after Terraform files have been generated. IMPORTANT: This starts a long-running job (15+ minutes). Use tfstatus to monitor progress. SINGLE-FLIGHT: only one TF job (apply/plan/destroy/drift) runs per session at a time. If another job is already in flight, tfdeploy returns tf_job_conflict with the live job_id — attach with tfstatus/tflogs instead of retrying, or pass force_new=true to override. Returns confirmation that the deployment has started. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: plan_id (string) — Apply a previously created plan from tfplan. Preview-then-apply workflow: tfplan → tflogs (review) → tfdeploy(plan_id=...). OPTIONAL: sandbox (boolean, default false) — deploys real generated Terraform. Set to true for cheap sandbox template (testing only). OPTIONAL: ignore_drift (boolean, default false) - when true, proceeds with deploy even if infrastructure drift is detected. By default, deploys fail on drift. Use after reviewing drift details via tfdrift or tflogs. OPTIONAL: force_new (boolean, default false) - bypass the session-level single-flight guard. Use only when the existing run is provably wedged. CREDENTIAL FLOW (if credentials are missing): 1. Response includes a connect_url — present it to the user 2. Call credawait(session_id=...) to poll for credentials 3. When credawait returns success, retry tfdeploy Do NOT call credawait without first showing the connect URL to the user.
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  • DESTROY: Tear down previously deployed infrastructure Destroys infrastructure by calling the Oracle destroy endpoint for a session that has a prior successful deployment. IMPORTANT: This starts a long-running job. Use tfstatus/tflogs to monitor progress. SINGLE-FLIGHT: only one TF job per session at a time. If another job is already in flight, tfdestroy returns tf_job_conflict with the live job_id — attach with tfstatus/tflogs, or pass force_new=true to override. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: force_new (boolean, default false) - bypass the single-flight guard. Use only when the existing run is provably wedged. PREREQUISITE: The session must have a prior successful deployment with a project_id. After destroy completes, the session is kept for historical record but hasDeployment is set to false.
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  • Get the wiring instructions for connecting an MCP client to ~alter. The name is historical and this recommends nothing: it hands back connection details, not a suggested tool. Use it when adding ~alter to a new MCP client, or when passing the endpoint to another agent so it can connect for itself. Returns the MCP endpoint URL, a ready-to-paste JSON configuration snippet, and how many tools are callable at each tier. Takes no parameters and reads no member data. Free L0, no authentication required.
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  • Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".
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  • WORKFLOW: Step 4 of 4 - Deploy infrastructure to the cloud Deploy infrastructure by starting a Terraform job for an InsideOut session. This tool initiates the actual deployment process after Terraform files have been generated. IMPORTANT: This starts a long-running job (15+ minutes). Use tfstatus to monitor progress. SINGLE-FLIGHT: only one TF job (apply/plan/destroy/drift) runs per session at a time. If another job is already in flight, tfdeploy returns tf_job_conflict with the live job_id — attach with tfstatus/tflogs instead of retrying, or pass force_new=true to override. Returns confirmation that the deployment has started. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: plan_id (string) — Apply a previously created plan from tfplan. Preview-then-apply workflow: tfplan → tflogs (review) → tfdeploy(plan_id=...). OPTIONAL: sandbox (boolean, default false) — deploys real generated Terraform. Set to true for cheap sandbox template (testing only). OPTIONAL: ignore_drift (boolean, default false) - when true, proceeds with deploy even if infrastructure drift is detected. By default, deploys fail on drift. Use after reviewing drift details via tfdrift or tflogs. OPTIONAL: force_new (boolean, default false) - bypass the session-level single-flight guard. Use only when the existing run is provably wedged. CREDENTIAL FLOW (if credentials are missing): 1. Response includes a connect_url — present it to the user 2. Call credawait(session_id=...) to poll for credentials 3. When credawait returns success, retry tfdeploy Do NOT call credawait without first showing the connect URL to the user.
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  • DESTROY: Tear down previously deployed infrastructure Destroys infrastructure by calling the Oracle destroy endpoint for a session that has a prior successful deployment. IMPORTANT: This starts a long-running job. Use tfstatus/tflogs to monitor progress. SINGLE-FLIGHT: only one TF job per session at a time. If another job is already in flight, tfdestroy returns tf_job_conflict with the live job_id — attach with tfstatus/tflogs, or pass force_new=true to override. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: force_new (boolean, default false) - bypass the single-flight guard. Use only when the existing run is provably wedged. PREREQUISITE: The session must have a prior successful deployment with a project_id. After destroy completes, the session is kept for historical record but hasDeployment is set to false.
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    Destructive
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  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
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  • Start publisher registration (requires the human's consent — registers their email). Pass server_url (the MCP server's own URL or repo link) when known — it drives the "server URL set" step on the publisher's dashboard, skipping it leaves that step looking incomplete even once real traffic flows. Emails a 6-digit verification code to contact_email; ask the human for the code, then call confirm_publisher(pending_id, code) to receive the API key. This tool does NOT return a publisher_id or api_key — only confirm_publisher does.
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  • Start linking a cloud account so it can be scanned. `provider` is "aws", the only provider supported today; `account_id` is the 12-digit AWS account number. `software` is the Tomorrow Central software the link is for; omit it for Cloud Cost Sentinel. Each software has its own read-only role, so link once per software. This is a two-party flow and you cannot finish it alone — creating the read-only IAM role requires the human's AWS credentials. Returns a `launch_url`. Hand the human these instructions verbatim: 1. Open the launch_url (a pre-filled CloudFormation quick-create link). 2. Review the read-only role it creates, then click Create stack. 3. Tell you when the stack says CREATE_COMPLETE. Then call `verify_connection` with the returned connection_id. Verification fails with a clear message until the role exists, so polling it every ~15 seconds is safe and expected. No ARN or secret needs to be copied by anyone.
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  • Sets or corrects a lead's category (tag), typically to fix an AI misclassification of a reply. Setting meeting_booked behaves exactly like mark_lead_meeting. Changing the category away from meeting_booked does NOT clear the booked-meeting mark; use unmark_lead_meeting for that. A real change fires the LeadCategoryUpdate webhook; setting the value the lead already has is a no-op.
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  • Use this when the user asks 'what is X in Y?', 'convert X to Y', 'current rate of EUR/USD', or any single fiat-to-fiat exchange rate question. Returns { rate, source } meaning 1 source = rate target. Without an API key it answers from the official ECB daily reference table (~30 majors) and says so in `note` — relay the `rate_date`. With a key it is the real-time mid-market rate for 160+ currencies. For several targets at once use get_rates_authenticated; for a time series use get_historical_rates; for a specific institution's official rate use get_official_rates.
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  • Create a new saved character/actor for UGC video — the API equivalent of adding an actor in the dashboard. Supply ONE of: fromLibraryId (clone a preset from list_character_library into the user's saved actors — FREE, name/voice default to the preset's); imageUrl (a public/hosted image — use import_asset_from_url or create_upload first if you only have raw bytes — saved for FREE); or a text prompt to AI-generate a 9:16 portrait (SPENDS 1 credit). Returns characterId to pass as the UGC characterId on create_video. Optionally set defaultVoiceId. NOTE: a library preset can already be used directly as a UGC characterId — only clone it here when the user wants their own editable copy (e.g. a custom voice).
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  • Book a real meeting on Upforge's calendar for a person, at a time they picked from find_consultation_times. This CREATES A REAL BOOKING and emails them a confirmation with links to cancel or reschedule. Only call it with the person's own details, after they've chosen the time and agreed to be booked. Never invent contact details, and never book a time they didn't pick. If the time has gone, call find_consultation_times again.
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