Skip to main content
Glama
306,003 tools. Last updated 2026-07-24 18:21

"A tool for generating class and architecture diagrams from code or technical descriptions" matching MCP tools:

  • Use this when the user supplies source code and asks for UML, Mermaid, sequence, class, component, or architecture diagrams. State-changing generation action: consumes AI credits, creates a generation, and optionally writes markdown to a Space after authorization. Use browser guidance for local uploads or full repository diagrams.
    Connector
  • Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.
    Connector
  • Decode a 7-character FAA manufacturer/model/series code to aircraft specifications from the reference table — manufacturer, model, aircraft category, aircraft type, engine type, number of engines, number of seats, weight class, cruise speed, and type-certificate data sheet/holder. Use faa_search_aircraft_types first to discover a code by manufacturer or model name.
    Connector
  • List the canonical trait vocabulary: 30 trait codes grouped by category (Adaptive Capacity, Cognitive Style, Interpersonal Orientation, Drive Architecture, Integrity & Trust) with a one-line semantic per code, plus the valid discovery contexts and the EU AI Act Art 5(1)(f) workforce gating rules. Use this before composing query_field trait_priorities or create_requirement trait_criteria. Static reference data. Free L0, no authentication required.
    Connector
  • Returns guidance on diagram-creation workflow and tool selection: how to choose between Mermaid and manual element creation, and the recommended iteration workflow. Consult before building complex diagrams.
    Connector
  • Look up European road dangerous-goods (ADR 2025) reference data for a substance: hazard class, classification code, packing group, labels, special provisions, limited/excepted quantities, transport category, tunnel restriction code and Kemler (hazard identification) number. Covers 2,939 entries across all 9 hazard classes, from UNECE ADR 2025 (ECE/TRANS/352). Provide exactly ONE of: un_number (exact lookup — returns every packing-group variant of that UN number), search (case-insensitive partial match on the proper shipping name), or hazard_class (all entries in a class or division). un_number is normalised — "1203", "UN1203" and "un 1203" are equivalent, and normalized_input reports the correction; explosives keep their leading zero ("0004"). Behavior: read-only reference lookup; name searches return up to 50 entries, class filters up to 100. An unknown UN number or a search with no hits errors with the API's NOT_FOUND body and a retry hint. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: count and results[] — per entry: un_number, proper_shipping_name, class, classification_code, packing_group, labels, special_provisions, limited_quantity, excepted_quantity, transport_category, tunnel_restriction_code, hazard_identification_number and variant_index/variant_count — under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: a factual compilation of the ADR table, not legal or compliance advice; classification remains the consignor's responsibility — verify against the current UNECE ADR text. Related: adr_lq_eq_check (checks quantities against the LQ/EQ values returned here), adr_exemption_calculator (1.1.3.6 small-load points), consignment_calculator (flags dangerous-goods lines by UN number).
    Connector

Matching MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    Enables automatic generation of UML class diagrams and entity-relationship diagrams from natural language descriptions or structured JSON data. It integrates with MCP agents to create visual representations of code structures and system designs without manual Mermaid coding.
    Last updated
    8
    1
    MIT

Matching MCP Connectors

  • Technical analysis (RSI, MA, signal score) for 9,400+ global stocks, by ticker or name.

  • Generate cloud architecture diagrams, flowcharts, and sequence diagrams.

  • List the drugs (substances) that belong to an ATC class. Use this tool to: - Enumerate all members of a therapeutic class (e.g., "A10BA" → metformin, phenformin) - Build a list of drugs sharing a pharmacological mechanism - Explore an ATC subtree at any level Each member includes its substance-level (7-char) ATC code via source_atc_code, useful for disambiguation when the queried class is at level 1-4. RxNorm's catalog is US-centric; the ATC class names and codes themselves are international.
    Connector
  • Start here. Returns the AdCritter platform overview - what AdCritter is, the entity hierarchy (organization > advertiser > campaign > ad), the happy path for getting ads running, and how to navigate the other MCP tools. Applications built from this guidance are REST API clients that call /v1/ endpoints, not MCP tool callers. Before writing code, call adcritter_get_api_reference(entity, action) for each entity and action you plan to use - tool descriptions and parameter names describe conceptual behavior only, and do not match actual API routes, field names, query parameters, or response shapes.
    Connector
  • Compute a technical indicator time series for a stock/forex/crypto symbol via Twelve Data — RSI, SMA, EMA, MACD, Bollinger Bands (bbands), ADX, ATR, Stochastic, CCI, and more. PREFER for "RSI(14) of AAPL", "50-day and 200-day SMA of TSLA", "MACD for BTC/USD", "Bollinger Bands of SPY". This is the right tool for ANY "RSI / SMA / EMA / MACD / moving average / technical indicator for <ticker>" question. Computes ONE indicator per call: if several are requested (e.g. "RSI and the 50-day and 200-day SMA"), call this once per indicator starting with the first — do NOT decline just because multiple indicators are asked for. Returns dated indicator values.
    Connector
  • Update elements on a canvas. Requires room_id from a previous Canvs tool result. Pass elements array with id and fields to update. IMPORTANT: in each update object ONLY `id` is required; all other fields are optional patch fields. Include ONLY elements that need changes; elements omitted from the request remain unchanged on the board. Prefer this tool for SMALL edits to existing diagrams (rename/move/restyle a few elements), typically after query_elements.
    Connector
  • Query elements on a canvas. Requires room_id from a previous Canvs tool result. Returns elements matching optional filters. Use this before update_elements when making small edits to existing diagrams. If no browser has the canvas open, returns an error — ask the user to open the canvas URL in their browser and retry.
    Connector
  • Creates diagram elements from a Mermaid definition. Creates a new canvas if room_id is omitted, or adds to the existing canvas if room_id is provided. Preferred over add_elements for new diagrams and large changes to existing diagrams whenever the content can be represented in Mermaid. Supports: flowchart, graph, flowchart-elk, sequenceDiagram, classDiagram, classDiagram-v2, stateDiagram, stateDiagram-v2, erDiagram, journey, gantt, pie, gitGraph, mindmap, timeline, C4Context, C4Container, C4Component, C4Dynamic, C4Deployment, sankey, sankey-beta, quadrantChart, xychart, xychart-beta, requirement, requirementDiagram, kanban, architecture, block, block-beta, packet, packet-beta, radar-beta, treemap, info. Example: "flowchart TD\n A[Start] --> B{Decision}\n B -->|Yes| C[OK]\n B -->|No| D[Cancel]"
    Connector
  • Lookup FDA device classification details by product code. Returns device name, device class (I/II/III), medical specialty, regulation number, review panel, submission type, and definition. Requires: product code (3-letter code from 510(k), PMA, or device product listings). Related: fda_product_code_lookup (cross-reference across 510(k) and PMA), fda_search_510k (clearances for this product code), fda_search_pma (PMA approvals for this product code).
    Connector
  • USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
    Connector
  • 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.
    Connector
  • Search for medical procedure prices by code or description. Use this for direct lookups when you know a CPT/HCPCS code (e.g. "70551") or want to search by keyword (e.g. "MRI", "knee replacement"). For code-like queries → exact match on procedure code. For text queries → searches code, description, and code_type fields. Supports filtering by insurance payer, clinical setting, and location (via zip code or lat/lng coordinates with a radius). NOTE: Results are from US HOSPITALS only — not non-US providers, independent imaging centers, ambulatory surgery centers (ASCs), or other freestanding facilities. Args: query: CPT/HCPCS code (e.g. "70551") or text search (e.g. "MRI brain"). Must be at least 2 characters. code_type: Filter by code type: "CPT", "HCPCS", "MS-DRG", "RC", etc. hospital_id: Filter to a specific hospital (use the hospitals tool to find IDs). payer_name: Filter by insurance payer name (e.g. "Blue Cross", "Aetna"). plan_name: Filter by plan name (e.g. "PPO", "HMO"). setting: Filter by clinical setting: "inpatient" or "outpatient". zip_code: US zip code for geographic filtering (alternative to lat/lng). lat: Latitude for geographic filtering (use with lng and radius_miles). lng: Longitude for geographic filtering (use with lat and radius_miles). radius_miles: Search radius in miles from the zip code or lat/lng location. page: Page number (default 1). page_size: Results per page (default 25, max 100). Returns: JSON with matching charge items including procedure codes, descriptions, gross charges, cash prices, and negotiated rate ranges per hospital. Only high-confidence results (with at least one usable price) are included. Each result includes last_updated (ISO date of the per-hospital MRF ingest) and mrf_date (ISO date the hospital self-reported in the MRF file). When all results are filtered out, filtered_low_confidence=true is set so the agent can say "no high-confidence prices found" rather than asserting that no prices exist.
    Connector
  • 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.
    Connector
  • Get a fast suitability score (0-100) for a US property without generating a full report. Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis. Returns a single score with confidence level and one-sentence rationale. Consumes a partial (0.25) analysis credit from your AcreLens account.
    Connector
  • Return the kernelcad-authoring SKILL.md body — conventions for writing .kcad.ts scripts (imports, parameters, evaluation contract, common pitfalls). Use this tool BEFORE generating CAD code if your MCP client does not list resources. Clients that do list resources should instead read `kernelcad://skills/authoring` directly — the contents are identical. INPUT: none. OUTPUT: { uri, mimeType, text } where `text` is the SKILL.md body.
    Connector
  • Resolve one or more QIDs or PIDs to their human-readable labels and descriptions. Lightweight — returns no claim data. Supports up to 50 IDs per call (batched automatically). Designed for the common agent pattern: receive QIDs from a SPARQL query, then humanize them.
    Connector