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246,454 tools. Last updated 2026-06-28 22:30

"OfficeCLI - Command Line Interface Tool for Office" matching MCP tools:

  • Compare FDIC reporting snapshots across a set of institutions and rank the results by growth, profitability, or efficiency changes. This tool is designed for heavier analytical prompts that would otherwise require many separate MCP calls. It batches institution roster lookup, financial snapshots, optional office-count snapshots, and can also fetch a quarterly time series inside the server. Good uses: - Identify North Carolina banks with the strongest asset growth from 2021 to 2025 - Compare whether deposit growth came with branch expansion or profitability improvement - Rank a specific cert list by ROA, ROE, asset-per-office, or deposit-to-asset changes - Pull a quarterly trend series and highlight inflection points, streaks, and structural shifts Inputs: - state or certs: choose a geographic roster or provide a direct comparison set - start_repdte, end_repdte: Report Dates (REPDTE) in YYYYMMDD format — must be quarter-end dates (0331, 0630, 0930, 1231) - analysis_mode: snapshot or timeseries - institution_filters: optional extra institution filter when building the roster - active_only: default true - include_demographics: default true, adds office-count comparisons when available - sort_by: ranking field (default: asset_growth). All options: asset_growth, asset_growth_pct, dep_growth, dep_growth_pct, netinc_change, netinc_change_pct, roa_change, roe_change, offices_change, assets_per_office_change, deposits_per_office_change, deposits_to_assets_change - sort_order: ASC or DESC - limit: maximum ranked results to return Returns concise comparison text plus structured deltas, derived metrics, and insight tags for each institution.
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  • Use when you already have an exact approved pet slug and need the sanitized public pet card, asset URLs, page URL, and install command for that one pet. Use search_pets first when you only have a name/query or need multiple results. Do not use for focused install, badge, embed, card, or request workflow details; use the matching get_* tool instead.
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  • SESSION-RECOVERY · FIRST CALL when a session starts and the user mentions launch / users / growth / customers / metrics / revenue / marketing / what next / shipping. Returns a command-center bootCard with `headline`, `priority`, `cards[]` (each carries kind + label + literal user command + runHandle), and `next` (the one-line prompt). Aggregates: pending approvals + ripe measurements + new engagement + queued prospects + recent launches + manual-publish-pending actions. ChiefLab is stateful and re-summonable — even if the conversation was lost, the IDE was switched, or the runId was forgotten, this call recovers the workspace business state. If the user asked to launch the CURRENT repo, compare boot cards to currentRepoContext/projectName; if the open loop is unrelated, start a fresh launch instead of resuming stale work.
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  • MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. After this tool: either (a) the inline upload widget will let the user drop the file and auto-continue (Claude.ai web), or (b) you run a curl PUT yourself if you have shell access (Claude Desktop / Claude Code) — the response text contains a ready-to-run curl command. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.
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  • Get the latest narrative forecast product from a Weather Forecast Office (WFO). The default product is AFD (Area Forecast Discussion), which explains the meteorological reasoning behind the forecast — synoptic setup, model guidance, and forecaster confidence. Other types: HWO (Hazardous Weather Outlook, 1-7 day severe/flood/winter outlook), ZFP (Zone Forecast Product, zone-by-zone text), SPS (Special Weather Statement, short-fuse advisory). The office code is the 3-letter WFO identifier returned as the "office" field by nws_get_forecast. Fetches the two-hop products API: list endpoint first (newest product), then the full product detail.
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  • Find a Capitol office by ROOM CODE (e.g. 'SH-217', '2310 Rayburn', '167 Russell', 'H-232'), by MEMBER NAME (e.g. 'Cornyn', 'Ted Cruz', 'Womack'), or by COMMITTEE ('Senate Judiciary', 'Ways and Means', 'House Armed Services'). A room code returns the decoded location plus who currently holds it; a name returns that member's current office; a committee returns its office / principal hearing room. Member & committee assignments are the 119th Congress (volatile, live-source-stamped).
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Matching MCP Servers

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    Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.
    Last updated
    1
    MIT

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  • Carbon Interface MCP — Carbon Interface API (v1)

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

  • Get code from a remote public git repository — either a specific function/class by name, a line range, or a full file. PREFERRED WORKFLOW: When search results or findings have already identified a specific function, method, or class, use symbol_name to extract just that declaration. This avoids fetching entire files and keeps context focused. Only fetch full files when you need a broad understanding of a file you haven't seen before. For supported languages (Go, Python, TypeScript, JavaScript, Java, C, C++, C#, Kotlin, Swift, Rust) the response includes a symbols list of declarations with line ranges. This is not a first-call tool — use code_analyze or code_search first to identify targets, then extract precisely what you need.
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  • Delete a cron job by line number. Get line numbers from list_cron(). Requires: API key with write scope. Args: slug: Site identifier line_number: Line number of the cron entry to delete Returns: {"deleted": true}
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  • Return the exact shell command to install UploadKit packages for a given package manager. When to use: before asking the user to add dependencies — match their package manager (detect from the presence of pnpm-lock.yaml / package-lock.json / yarn.lock / bun.lockb if you can, otherwise ask or default to pnpm). Saves you from guessing pnpm vs npm vs yarn vs bun syntax. Returns: a plain-text shell command as a single string (e.g. "pnpm add @uploadkitdev/react @uploadkitdev/next"). Read-only, idempotent, never modifies anything.
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  • Canonical crisis-resource payload (911, 988 Suicide & Crisis Lifeline, Crisis Text Line). Hardcoded — overrides any other tool when high-severity language is detected.
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  • USE WHEN discovering what Pine Script v6 documentation is available. Returns a categorised list of doc file paths with one-line descriptions. AFTER calling this tool, call get_doc(path) for small files or list_sections(path) then get_section(path, header) for large files (ta.md, strategy.md, collections.md, drawing.md, general.md). Data sourced from bundled Pine Script v6 documentation.
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  • Compare every available translation for a single segment. 💡 **Use this tool when:** - The user asks about the meaning/translation of a single Pāli line and wants to see multiple translators side-by-side. - Checking how different translators interpret the same line — technical terms like `dukkha`, `anattā`, `nibbāna` carry nuance that varies across translations. - Academic work that needs to quote multiple translations. 🔍 **vs `get_sutta`:** this tool targets a **single segment** (line level); `get_sutta` returns the **whole sutta**. To compare a whole sutta you'd call `compare_translations` for each segment. 📋 **segment_id format:** `<sutta_id>:<paragraph>.<line>`, e.g. `mn1:171.4` (Mūlapariyāyasutta paragraph 171 line 4 — "Nandī dukkhassa mūlaṁ"). Find segment_ids via `get_sutta` or search results. ⚠️ **Current state:** the `translation` table is mostly empty (the DB only loads default Pāli + English from bilara). `total_editions` is usually 0; `text_pali` and `text_english` are always populated. Thai editions will be added later.
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  • [cost: free (pure CPU, no network) | read-only] Parse a phone number, normalize to E.164, and classify it. International coverage is via libphonenumber-js (every country, line type when known). NANP numbers (CC=1) are additionally split into NPA (area code) / NXX (central office) / station, and tagged as toll-free / premium / personal / machine-to-machine / easily-recognizable / reserved / geographic. Use when validating `From` / P-Asserted-Identity / SHAKEN `orig.tn`, deciding whether an outbound call needs full attestation, or sanity-checking caller ID format. Pair with: `lint_sip_request` to validate that PASSporT `orig.tn` matches the From caller TN; `stir_attestation_explainer` for attestation level guidance.
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  • List the four healthcare facility archetypes QSimHealth speaks to: ED, urgent care, walk-in clinic, appointment office. Returns one-line descriptions. Call describe_facility for detail on one type, or simulate_ed_demo to run a generic simulation.
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  • Browse the North Macedonia State Statistical Office (MakStat) PxWeb subject tree under the /MakStat database. Empty path returns top-level folders (type 'l'); drill with sub-paths to reach tables (type 't', '.px' suffix). Returns folder/table list for the given path.
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  • Initiates the creation of a Cloud SQL instance. * The tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes. * The instance creation operation can take several minutes. Use a command line tool to pause for 30 seconds before rechecking the status. * After you use the `create_instance` tool to create an instance, you can use the `create_user` tool to create an IAM user account for the user currently logged in to the project. * IMPORTANT: Set `ipv4_enabled` to 'false' if creating a Private Service Connect or a Private Service Access instance. * Set `free_trial` to 'true' to create a free trial instance. Free trial instances let you test majority of Cloud SQL features for up to 30 days without financial commitment. Subject to eligibility and availability. * The value of `data_api_access` is set to `ALLOW_DATA_API` by default. This setting lets you execute SQL statements using the `execute_sql` tool and the `executeSql` API. Unless otherwise specified, a newly created instance uses the default instance configuration of a development environment. The following is the default configuration for an instance in a development environment: ``` { "tier": "db-perf-optimized-N-2", "data_disk_size_gb": 100, "region": "us-central1", "database_version": "POSTGRES_18", "edition": "ENTERPRISE_PLUS", "availability_type": "ZONAL", "tags": [{"environment": "dev"}] } ``` The following configuration is recommended for an instance in a production environment: ``` { "tier": "db-perf-optimized-N-8", "data_disk_size_gb": 250, "region": "us-central1", "database_version": "POSTGRES_18", "edition": "ENTERPRISE_PLUS", "availability_type": "REGIONAL", "tags": [{"environment": "prod"}] } ``` The following instance configuration is recommended for SQL Server: ``` { "tier": "db-perf-optimized-N-8", "data_disk_size_gb": 250, "region": "us-central1", "database_version": "SQLSERVER_2022_STANDARD", "edition": "ENTERPRISE", "availability_type": "REGIONAL", "tags": [{"environment": "prod"}] } ```
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  • Draw a freehand stroke on the board. Use for arrows, underlines, connector lines, annotations, or simple shapes — a straight line needs two points, a rough circle wants ~20. Stroke width is fixed at 3 px; `color` accepts any CSS color (e.g. '#ff0000', 'var(--text-color)'). Accepts three equivalent point formats — pick whichever your MCP client serialises cleanly: nested `[[x,y],[x,y],...]`, flat `[x1,y1,x2,y2,...]`, or a JSON string of either. Some clients (Claude Code as of 2026-04) drop nested arrays during tool-call serialisation, so prefer the flat form or the JSON-string form when in doubt. To delete a stroke later, use `erase` with `kind: 'line'` and the id returned here.
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  • Delete a single item by id. `kind` MUST match the item type: 'text' for text nodes, 'line' for freehand strokes, 'image' for images — the wrong kind silently targets the wrong table and is a common mistake. Get the id + type from `get_board` (texts[], lines[], images[]). There is no bulk/erase-all tool: loop if you need to delete multiple items.
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  • Insert `new_str` after the given 1-indexed line in the named memory file. `insert_line: 0` inserts at the top. Writes a new `file_cid` and signs the receipt. Mirrors the `insert` verb in Anthropic's context-management-2025-06-27 memory tool spec. When to use: Call when the LLM wants to append a new line to a memory file without rewriting it. For top-of-file inserts, pass `insert_line: 0`; for end-of-file, pass the current line count (the responder rejects out-of-range with a typed error).
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  • Read an exact line range from a raw doc file by absolute line number — the windowed-read companion to `grep_docs`. When `grep_docs` returns a hit at `path:line` inside a large file, call `read_lines({ path, start, end })` to pull the surrounding block. This is the ONLY way to read around a hit in the largest rdr3_discoveries data tables (audio_banks, ingameanims_list, ptfx, soundsets, imaps_with_coords, megadictanims, etc.): their full bodies are NOT in the vector/heading index (only an ~80-line preview is), so `semantic_search` can't reach them and `get_document` resolves real section headings only — NOT synthetic `lines N-M` offsets. `start`/`end` are 1-based and inclusive; omit `end` for a 50-line window; one call returns at most 400 lines (narrow the range for more). For prose `.md` docs prefer `get_document` with a `heading`; to search values use `grep_docs`; for individual script natives use `lookup_native`.
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