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207,082 tools. Last updated 2026-06-17 20:13

"An open-source relational database management system" matching MCP tools:

  • Permanently delete an open support ticket. Use fetch_open_tickets first to get the case_id. WARNING: This action cannot be undone. Only open tickets can be deleted. # delete_ticket ## When to use Permanently delete an open support ticket. Use fetch_open_tickets first to get the case_id. WARNING: This action cannot be undone. Only open tickets can be deleted. ## Parameters to validate before calling - case_id (string, required) — The case number of the ticket to delete ## Notes - DESTRUCTIVE — IRREVERSIBLE. Always confirm with the user before calling. Explain what will be lost.
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  • Use when conducting an AI risk management gap assessment, building board-level AI governance documentation, preparing for a model risk examination, or aligning an AI program with federal regulatory expectations. NIST AI RMF 1.0 is the US federal standard for AI risk management — adopted by reference in the Executive Order on Safe AI and aligned with Federal Reserve SR 26-2, OCC model risk guidance, and FDIC requirements. Returns all four functions (GOVERN, MAP, MEASURE, MANAGE) with categories, subcategories, and implementation guidance. Example: GOVERN function requires board-level AI policy, documented accountability structures, and AI risk culture assessment — the first control examiners check in a model risk review. Source: NIST AI RMF 1.0.
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  • Validate whether a US medical code exists, is current, and is billable in the active bundled release. Returns a discriminated status — valid_billable, valid_not_billable, valid_header, or terminated — with a `whyNot` explaining non-billable and terminated cases (e.g. "valid ICD-10-CM category but not billable — submit a more specific child code"). This is the detail a coder needs before submitting a claim. Auto-detects the system from the code's shape; pass an explicit `system` to disambiguate. A non-billable or terminated code is a successful result with a whyNot, not an error — only a code that exists in no bundled system raises unknown_code.
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  • Find active-open, quote-ready-first prediction markets on the mock-PM sources (Kalshi + Polymarket by default). Returns source, slug, quoteable outcome externalMarketIds, freshness, volume/liquidity/spread, and decisionSupport. This is discovery only — call pm_quote with one returned outcomeExternalMarketId before open_pm_position because pm_quote is the final eligibility source. Paper trading only — virtual funds (50,000 mUSD). Not financial advice.
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  • Provisions a managed MySQL (or MariaDB) database on a dedicated VM on your private network — the relational-database resource (use this instead of create_database when the app needs MySQL/MariaDB, e.g. WordPress, NextCloud, Matomo, many PHP/LAMP apps). It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP (port 3306), not a public address. Get the ids from list_flavors, list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_relational_databases until status='ready', then the connection details (private_ip, port 3306, db_name, db_user) are populated. MySQL is created with mysql_native_password auth so older clients/apps connect cleanly. (ClickHouse is a separate resource — use create_clickhouse / list_clickhouse_databases.)
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  • Provisions a managed ClickHouse database (OLAP / columnar analytics engine, Apache-2.0) on a dedicated VM on your private network — its OWN resource, NOT a relational database. Use it for analytics / observability workloads that need a column store (PostHog, Langfuse, event analytics, time-series). It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP on the ClickHouse HTTP port 8123 (CLICKHOUSE_HOST/PORT/USER/PASSWORD/DB env, http://host:8123). Get the ids from list_flavors (use m1.small+ — ClickHouse needs >=2GB RAM), list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_clickhouse_databases until status='ready'.
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  • Your AI Agent's Infrastructure Layer. Connect Claude, Copilot, Codex, or ChatGPT to 200+ managed open source services. Start databases, pipelines, and applications through natural language.

  • Open Notify MCP — ISS position + people in space

  • Search Europe PMC, a broad open-access biomedical corpus. Surfaces preprints (`source: PPR`), patents (`source: PAT`), Agricola (`source: AGR`), plus everything in PubMed (`MED`) and PMC. Use when additional coverage is needed — preprints and EPMC-only OA records are the typical recovery. Paginate via `cursorMark`. Defaults to `MED`, `PMC`, and `PPR`; pass `sources` to include `PAT` / `AGR`.
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  • How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.
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  • Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), moved_by_user_id, and source (what caused the transition, e.g. 'apply:indeed', 'form_watcher', 'user'; null for historical records). Use this for funnel analysis, attribution reports, and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.
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  • Publish an open issue after the user approved the preview. ONLY call after submit_open_issue, user saw preview, and explicitly approved.
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  • Podcast search by term. Find podcasts in the open podcast database by name or keyword. Returns matching podcasts with title, author, description, categories, episode count, and artwork. Example: search_podcasts({ query: "true crime", max: 10 })
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  • Mint a public share token for a file. Returns a `url` of the form `https://trydock.ai/share/files/<token>` that anyone (no auth) can open to view + download the file. The token is 32 random bytes (~256 bits of entropy) so guessing is infeasible. Revoke later with `revoke_file_share`. Editor role required. Gated behind FILES_SURFACE_ENABLED + per-user allowlist. Use when a workflow needs to hand the file off to an external system that can't authenticate.
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  • Get a fresh, CITEABLE source + timestamp for a current datapoint — so you can cite it, not guess. Pass ANY tool, source, or topic (earthquakes, current_weather, USGS, Open-Meteo, …) for its authoritative source + licence + attribution + verify URL, or a software product (python, nodejs, …) for its live latest-version citation.
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  • Publish an open issue after the user approved the preview. ONLY call after submit_open_issue, user saw preview, and explicitly approved.
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  • Search the open problem queue for unsolved issues another agent can pick up. Use when: • You want to find work to solve and close the loop • Before submit_open_issue, to avoid duplicating an existing open issue • After search_learnings returned 0 solutions (also surfaced automatically there) Open issues contain reproducible problem write-ups but NO solution yet. If you solve one, call resolve_open_issue.
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  • 日本の建設費オープンデータベース(JCCDB)のメタデータ・規模・ライセンス・ダウンロードリンク・引用情報を返す。建設費の一次データ源を探している時に使う。 / Returns metadata, scale, license, download links and citation for the Japan Construction Cost Database (JCCDB), an open dataset of 65,729 Japanese construction line items. Use when looking for a primary construction-cost data source.
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  • Fetches the top 15 trending HuggingFace models sorted by likes in the last 7 days. Each item includes id (author/name), likes, downloads, pipeline tag, and url. Source: huggingface.co/api/models. Cache TTL 10min. Use when the agent needs to surface what the open-source AI community is paying attention to right now.
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  • Search the Open Quantum Materials Database for DFT-computed inorganic materials by composition and/or constituent elements, with optional band-gap and thermodynamic-stability filters. Returns formation energy (eV/atom), energy above the convex hull (stability), band gap, space group, and prototype. Keyless. Provide at least `composition` or `element_set`.
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  • Return per-chunk source provenance for a previous query — document path, lifecycle state, embedding timestamp, contributor, last-updated — useful for verifying a citation or surfacing trust signals to a downstream system. Pass a `query_id` returned by an earlier `query_knowledge` call. Returns 404 if the query_id is unknown OR belongs to a different tenant (indistinguishable to prevent info-leak). Zero Knowledge Tokens consumed.
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  • An asynchronous risk assessment tool that evaluates AI model resilience against adversarial inputs following NIST AI Risk Management Framework (RMF) red-teaming protocols. Designed for security and compliance personas, it accepts model outputs or decision boundaries and returns structured risk scores, failure modes, and adversarial examples. Requires async:true to avoid timeout errors. Outputs include status, warnings, and source references.
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