"A server for finding a Jira integration" matching MCP tools:

• strale_ping

  Strale - 290+ API capabilities for AI agents

  Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.

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• group_discovery_scan

  DialogBrain

  Scan a group to evaluate its quality before joining. Fetches recent messages, analyzes activity, spam, and engagement, then returns a quality score and plain-English verdict. When to use: - After finding groups with group_discovery.search - Before deciding which groups to join Returns: overall_score (0-1), is_disqualified, disqualify_reasons, individual scores, and a verdict string.

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• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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• find_similar_products

  market

  Given a product ID, find similar products across the entire catalog. Useful for "more like this" recommendations or finding alternatives. Returns compact product cards, not full variant detail; call get_product for SKU-level variants, exact variant prices, merchant description, store info, and all images. Returns page and hasNextPage. Returns up to 10 results per page, paginated (max 3 pages).

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• search_reviews

  Cochrane Medical Reviews

  Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).

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• create_surface

  Dock

  Create a new surface (tab) inside a workspace. `kind` picks `table` or `doc`. Optional `slug` (lowercase kebab-case, 3-64 chars); when omitted the server slugifies `name` and appends a numeric suffix on collision. Optional `columns` overrides the default Title/Status/Notes triple for `table` kinds; ignored for `doc`. Editor role required. Emits `surface.created` so live listeners on the workspace stream see the new tab without a refetch.

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• vf_health

  VoiceFlip

  Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.

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• discovery_upload

  Disco

  Upload a dataset file and return a file reference for use with discovery_analyze. Call this before discovery_analyze. Pass the returned result directly to discovery_analyze as the file_ref argument. Provide exactly one of: file_url, file_path, or file_content. Args: file_url: A publicly accessible http/https URL. The server downloads it directly. Best option for remote datasets. file_path: Absolute path to a local file. Only works when running the MCP server locally (not the hosted version). Streams the file directly — no size limit. file_content: File contents, base64-encoded. For small files when a URL or path isn't available. Limited by the model's context window. file_name: Filename with extension (e.g. "data.csv"), for format detection. Only used with file_content. Default: "data.csv". api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

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• create_api_key

  Molt2Meet

  Generate a new API key for your agent. The full plaintext key (m2m_...) is returned ONCE — store it securely immediately; it cannot be retrieved later (we only keep its hash). Use keyName to identify the key's purpose (e.g. 'production', 'staging'). Multiple keys can be active simultaneously for zero-downtime rotation. Requires: an existing API key from register_agent. Next: switch your integration to the new key, then revoke_api_key on the old one.

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• execute_integration

  mcp

  Execute an integration action — e.g., send an email via Resend, create a payment via Mollie. The system resolves vault credentials server-side so you never handle API keys directly. The integration must be configured first via setup_integration (not needed for built-in integrations). Call get_integration_schema first to get the exact endpoint name and required input fields.

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• ping

  nara-tour

  Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.

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• bank_accounts

  Inferventis — Financial Data, News & Web MCP

  Retrieves bank account details and recent transaction history via a connected bank API integration. Returns a list of transactions for the specified account, or for all linked accounts when no account ID is provided. Use bank_accounts when an agent needs to inspect account balances, review recent spending, categorise transactions, or reconcile records against a specific bank account. Prefer open_banking_transactions when the integration uses a PSD2 Open Banking provider (TrueLayer) covering 300+ UK and European banks — open_banking_transactions returns richer transaction metadata including merchant names, categories, and running balances. Prefer stripe_payments when the source of payments is a Stripe merchant account rather than a retail bank account. This tool requires a valid bank API credential to be configured on the server.

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• simulate_mmc

  QueueSim

  Run a generic M/M/c queue simulation. Provide an arrival rate (λ, arrivals/hour), a service rate per server (μ, customers/hour each server can finish), and a server count (c). Optional: distribution shapes, service coefficient of variation, run length. Returns per-hour metrics and an overall summary (avg wait, queue length, offered load, throughput). This is the primary tool for 'how many servers do I need?' / 'what's my average wait?' style questions. ALSO preferred over simulate_scenario for what-if questions about scheduled scenarios (Coffee Shop, ER) when the user wants flat uniform numbers — pull the peak params from describe_scenario and run them here. That usually matches user intent better than collapsing a schedule.

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• lookup_headers

  botoi-mcp

  Fetch HTTP response headers for a URL. Use when inspecting server configuration, security headers, or caching policies.

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• investigate_question

  VaultCrux Memory Core

  Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

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• get_usage_stats

  Name Whisper — ENS Intelligence Layer

  Get usage statistics for this MCP server session. Returns tool call counts, success rates, and average latency.

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• mssql_to_dashboard

  Twilize

  Build a Tableau dashboard from a Microsoft SQL Server table (end-to-end). Pipeline: MSSQL → schema inference → chart suggestion → workbook creation → live MSSQL connection → .twb output. Requires pyodbc for schema inference and ODBC Driver 17 for SQL Server. IMPORTANT FOR AI AGENTS: see ``csv_to_dashboard`` — auto-charts come from rules, not natural-language requests. Use ``required_charts`` to guarantee specific charts, ``reference_image`` for image-based styling, and cite the returned manifest dict when describing results. Args: server_host: MSSQL server hostname. dbname: Database name. table_name: Table to visualize. username: Database username (ignored if trusted_connection=True). password: Database password (used for schema inference only). port: Server port (default 1433). trusted_connection: Use Windows Authentication instead of SQL auth. output_path: Output .twb path (defaults to <table>_dashboard.twb). dashboard_title: Dashboard title. max_charts: Maximum charts (0 = use rules default). template_path: TWB template path. theme: Theme preset name. rules_yaml: Optional YAML string with dashboard rules overrides. required_charts: See ``csv_to_dashboard.required_charts``. reference_image: See ``csv_to_dashboard.reference_image``. Returns: Structured manifest dict describing what was actually built.

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• thinkneo_audit_export_status

  ThinkNEO Control Plane

  View configured audit export integrations and their last export results. Shows integration type, endpoint, enabled status, and recent export history. Requires authentication.

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• search_sic_codes

  SIC Codes UK

  Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.

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• search_sic_codes

  SIC Codes UK

  Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.

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