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459,732 tools. Updated 2026-08-17 08:12

"A tool for retrieving error lists from codebases" matching MCP tools:

  • Fetch a previously saved CivilQuants project by project_id. When the id is not in context (e.g. a new conversation reopening 'Demo - Cantilever Wall'), pass the project's exact display name in the project_id field instead. If several projects share the name, the error envelope lists the candidate project_ids; call list_projects to browse everything saved. Paid tier only — anonymous callers receive a TIER_INSUFFICIENT envelope.
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  • RETIRED on 2026-07-29 and kept only so a cached client gets a dated reason instead of an unknown-tool error. Agent Reputation is no longer a marketplace and no longer matches a need to a provider. This call stores nothing. If you are about to buy from a specific agent service, use prepurchase_brief for an independent evidence brief on that candidate, or give_feedback with category why_i_came.
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  • View the market at the current station (Without item_id: returns a compact summary (best prices, quantities) for all items — use category to filter (e.g. 'ore', 'commodity', 'module'). With item_id: returns full order book depth for that item. Accepts item_id or item name (e.g. 'Iron Ore'). Every response includes current_tick. Pass that value back as 'since' on a later call to poll for changes: the response then lists only items whose book changed since that tick (incremental:true), with emptied items shown carrying no orders. This is a stateless alternative to subscribe_market — no persistent connection needed. Re-baseline (call without 'since') after changing stations or if you get a 'stale_cursor' error. Fuel and contraband are excluded from incremental diffs. Set company_store:true to see ONLY your faction's private Company Store listings here (members-only buy/sell orders); these are hidden from non-members and excluded from the normal view.)
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  • Enrich Indicator of Compromise (IP/domain/URL/hash) by auto-detecting type and querying abuse.ch feeds. Per-type source coverage: hash → ThreatFox only (Feodo and URLhaus do not index hashes); IP → ThreatFox + Feodo Tracker + URLhaus; domain / URL → ThreatFox + URLhaus. verdict.sources_queried lists what actually ran; verdict.sources_unavailable lists what failed (timeout / upstream error). Use as primary IOC triage tool when type unknown; use threat_intel for domain-only, hash_lookup for richer MalwareBazaar hash data. Free: 30/hr, Pro: 500/hr. Returns {indicator, type, threat_level, sources, summary, verdict}.
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  • List available exascale.build data capabilities for agent discovery before querying. Also call this BEFORE stating that a capability is not available — client tool lists are cached and this surface grows; anything listed here is reachable via query_capability_v1 even if your tool list predates it.
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  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
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Matching MCP Servers

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    Enables AI assistants to interact with Slack Lists through comprehensive tools for creating, retrieving, filtering, and managing list items. Supports bulk operations, data export, subtask creation, and all Slack List field types with robust error handling and production-ready implementation.
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    MIT
  • A
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    Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.
    3
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    MIT

Matching MCP Connectors

  • S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.

  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Fetch full details for one skill by slug. Call AFTER search_skills or popular_skills when a user selects a specific result — do NOT batch-call for every item. Returns: name, description, category, tags, version, author, downloads, stars, install_command, homepage_url, repo_url. Error lifecycle: slug not found → {error: "Skill not found"} → fall back to search_skills with related keyword. Never guess slugs; only use slugs from prior tool results.
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  • PRIMARY tool for open-ended questions: how / why / what-is, troubleshooting a symptom ("why is my balance zero", "how do I fix X"), and locating config or setup steps. Conceptual/meaning-based search over the full Canton corpus (CIPs, docs, forum, mailing lists, proposals, blog, releases, ecosystem, foundation KB, YouTube) using vector+FTS hybrid retrieval with reranking. Canton-specific. Use this FIRST for anything a specific tool does not clearly own; the narrow curated tools (get_faq, find_known_issues, diagnose_error) cover only small hand-picked sets or need a literal error string, so prefer semantic_search for real how/why/config questions. Then call get_doc with a returned id to read the full source page.
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  • [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.
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  • Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
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  • Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
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  • WHEN: a user encounters an error message, infolog error, or runtime exception in D365. Also handles business-language error explanation when audienceType='business'. Triggers (developer): 'fix this error', 'what causes', 'exception thrown', 'infolog error', 'update conflict', 'outside tts', 'number sequence'. Triggers (business): 'what does this error mean', 'explain this error to me', 'user gets error X', 'que signifie cette erreur', 'message d\'erreur', 'what should the user do when they see this error'. Find known D365 F&O error patterns matching an error message or symptoms description. Matches against a built-in database of common errors (transaction conflicts, security issues, number sequences, posting errors, batch problems, etc.), resolves D365 label IDs from error text (e.g. user sees 'Number sequence not set up' -> finds @SYS70535 -> finds the throwing code), and searches the indexed codebase. Returns root causes, step-by-step resolution, label matches, and source code locations. [~] When the error text contains a D365 label ID (e.g. '@SYS12345'), call `search_labels` first to resolve the label text, then call this tool with the resolved text. Set audienceType='business' for a plain-language explanation targeted at end users instead of developers.
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  • Creates a new submission for a specific Data Template (Form). Use this tool after obtaining the Data Template (Form) schema (via wdf_data_templates_get_schema_and_sample_submissions) and collecting all required information from the user. Keys in data must match the field IDs from the Data Template (Form) schema, not display labels — an unrecognized key may be silently dropped rather than raising an error. Provide all fields marked as required in the Data Template (Form) schema; omitted optional fields are simply left blank on the new submission.
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  • Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
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  • Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
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  • Indicative UniswapV2 swap quote from live on-chain reserves: amount out, execution price, and price impact — what the trade will actually cost before you sign it. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free `pricing` tool lists every price at once.
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  • Set or update the persisted brand profile for a brand. The profile is a structured JSON document applied across every pipeline stage: voice rules, banned terms, canonical vocabulary, framing allowlist, channel config, compliance disclosures, and verifier overrides. Use it to persist a profile derived from a repo or docs so future runs inherit the rules, or to update voice rules and banned terms before the next run. Required sections: `identity` and `voice` (a profile with no voice falls back to generic drafts). A re-set that omits voice is accepted with a default voice stub rather than rejected. Validation: tiered lints (error / warn / info). 'error' lints reject the set; 'warn' lints accept with a note. The response includes `lints[]`. `conflicts[]` lists fields locked by the brand kit, which takes precedence; those profile values are not stored. brand_id is unique per user; re-setting the same brand_id replaces the prior profile.
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  • Describe any served capability by name — the generic twin of the named describe tools. Pass `capability` as either a capability id from list_capabilities_v1 (e.g. "power.capacity") or a query primitive name (e.g. "query_power_capacity_v1"). Returns the same schema payload as the named describe tool: valid filters, groupings, metrics, detail fields, and citation fields. Use the generic pair (this + query_capability_v1) when list_capabilities_v1 names a capability that has no named tool in your client's tool list — clients cache tool lists, and capabilities shipped after that cache are still fully reachable here.
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  • Get the full record for a single store by its numeric ID. Use after `search_stores` to retrieve fields not in the search summary (full address, owner profile, contact details). For a list of *products* in that store, call `search_products(store_id=…)` instead — this tool returns store metadata only. Read-only. No authentication. Args: store_id: Integer `id` from a `search_stores` result. Returns: A single store object with all fields. Returns ``{"error": ...}`` if the ID does not exist.
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  • IMPORTANT: Do NOT fetch all guidances at once. Fetch the 'Backend Installation' guidance first, apply the necessary setup changes, and then fetch subsequent guidances (e.g., 'Redirect users after login', 'Backend Auth Middleware') sequentially as you implement each specific feature. Returns instructions for integrating PropelAuth via OAuth. Only use this tool when specifically instructed to by another tool or the user or if a PropelAuth SDK does not exist for the project's framework. Guidance includes instructions for the backend and frontend, including installation and configuration, creating access tokens, retrieving user or org information, logging users out, redirecting users to login, and more. It is important to follow the instructions carefully to ensure a successful integration.
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