Skip to main content
Glama
187,347 tools. Last updated 2026-06-10 08:04

"How to send queries to an Elasticsearch cluster" matching MCP tools:

  • Send a SIMULATED email with no account required. Validates the body against the exact same schema as sendEmail, then returns a realistic synthetic success envelope (demo: true) — it never actually sends, queues, or stores anything. Use this to let someone try Primitive and see the response shape before they sign up. To send for real, sign up for an API key and use sendEmail.
    Connector
  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
    Connector
  • Resolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions for Tool Call:** * Specificity (CRITICAL): Queries must represent a specific place name or address. General searches like `'restaurants'` or chain names like `'Starbucks'` are not supported. * Do NOT call this tool if the downstream tools you plan to invoke already accept raw address or place name strings directly. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some queries resolve successfully while others fail). * The output list of `results` is guaranteed to map 1:1 with the input `queries` indices. A failed query will result in an empty `Result` message (no `entity` is set) at its corresponding index in the `results` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific query index failed. The key of `failed_requests` represents the 0-based index of the failed query in the request. Do not assume the entire batch call failed because of a partial failure.
    Connector
  • Create a new journey. Defaults to DRAFT state. Send nodes are not allowed on create — create the shell with a trigger node, then call replace_journey to add send nodes after linking notification templates. Call publish_journey to make it live. Node ids are server-generated; do NOT include an id field. Example: { name: "Welcome Journey", nodes: [{ type: "trigger", trigger_type: "api-invoke" }], enabled: true }.
    Connector
  • Send a message on behalf of an agent's user or an SMB across SMS, email, or voice. Five message types: transactional, reminder, follow_up, notification, marketing. Every send routes through a non-bypassable compliance gate (TCPA, GDPR, CASL, PDPL across 22 jurisdictions) that enforces opt-in consent for marketing/promotional content — marketing without recorded consent is rejected at runtime with a structured compliance_violation receipt. Channel is abstracted: specify intent and recipient; the service selects and falls back across channels. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "Text the salon I'll be 10 minutes late" -> call send_message({"recipient_id": "smb_xyz", "channel_preference": "sms", "message": {"body": "Will be 10 minutes late."}, "country_code": "US"}) user: "Email the dentist about insurance" -> call send_message({"recipient_id": "smb_xyz", "channel_preference": "email", "message": {"body": "Do you accept Cigna?"}}) WHEN TO USE: Use to: (a) confirm a booking the agent just made, (b) reply to a customer who messaged the SMB first, (c) follow up on a quote the user requested, (d) send appointment reminders the SMB owes its customer, (e) send marketing messages to recipients who have opted in (with consent_record_id). The gate verifies consent on every send. WHEN NOT TO USE: Do NOT use for OTPs or critical transactional confirmations — use send_transactional_confirmation. Do NOT attempt to send marketing without a consent_record_id pointing at a real opt-in — the gate will reject the send and log a compliance_violation. Do NOT attempt bulk / list-based / drip / cold outreach — those are out of scope and the rate limiter will throttle abuse. COST: from $0.02 per_message (see preview_cost for exact) LATENCY: ~800ms EXECUTION: sync_fast (use get_outcome to retrieve result)
    Connector
  • Resolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions for Tool Call:** * Specificity (CRITICAL): Queries must represent a specific place name or address. General searches like `'restaurants'` or chain names like `'Starbucks'` are not supported. * Do NOT call this tool if the downstream tools you plan to invoke already accept raw address or place name strings directly. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some queries resolve successfully while others fail). * The output list of `results` is guaranteed to map 1:1 with the input `queries` indices. A failed query will result in an empty `Result` message (no `entity` is set) at its corresponding index in the `results` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific query index failed. The key of `failed_requests` represents the 0-based index of the failed query in the request. Do not assume the entire batch call failed because of a partial failure.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.

  • Send a message to another agent on the channel you joined, or to 'all' to broadcast. Requires a prior join() in this session. The 'to' field accepts: a callsign ('front'), an index ('#1' or '1') from roster(), or 'all'. If omitted, defaults to 'all' (broadcast — walkie-talkie default). Optional `priority` tags urgency (min|low|default|high|urgent). Optional `suggested_replies` hints up to 4 canned replies that human-in-the-loop UIs (like the /remote phone view) render as tappable chips — agent receivers can read them too and pick one. Optional `attachments` carries up to 4 small inline files (≤512KB base64 total) — designed for sporadic screenshots / PDFs; bigger files should be hosted externally and pasted as a URL. Optional `kind`: set 'status' to send an ephemeral 'working on it' signal instead of a normal message (see the `kind` field).
    Connector
  • Get an overview of the Velvoite regulatory corpus. Returns document counts by source, regulation family, entity type, urgency distribution, obligation summary, and date range. Call this FIRST to orient yourself before running queries. No parameters needed.
    Connector
  • List active retail partners with audiobook counts. Required for transparency / disclosure when an agent needs to explain HOW audioknihy.cz monetises recommendations (we are an affiliate aggregator, not a retailer).
    Connector
  • Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.
    Connector
  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
    Connector
  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
    Connector
  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
    Connector
  • Fetch the full text and metadata for a single opinion cluster by cluster ID. A cluster groups all opinions filed in a case — majority, concurrence, dissent, and per curiam. Returns all opinion variants with HTML and plain text. Obtain cluster IDs from courtlistener_search_opinions, courtlistener_lookup_citation, or docket results.
    Connector
  • [chieflab_* alias of chiefmo_send_approved_email] Send an approved launch email through the email sending rail (current adapter: resend). USE WHEN the user has approved an email publishAction from chiefmo_launch_product and you need to fire the send. Strict approval gate (same shape as chiefmo_publish_approved_post). `from` MUST be on a domain verified at the adapter (resend.com) — check chieflab_list_email_senders first. Single recipient or short list (≤50). Money/external-system action — once sent cannot be unsent.
    Connector
  • Semantic search — match by meaning, not exact words. Uses vector similarity (cosine distance) over `text_pali` embedded with a multilingual MiniLM model. 🤔 **In most cases you should use `search_hybrid` instead** — it combines this semantic search with keyword search and ranks better. Use this tool only when you need: - Pure semantic results (no keyword influence) - Fine-grained `threshold` tuning (hybrid uses RRF which is harder to tune) - To debug what semantic alone picks up vs keyword ⚠️ Known limitations: - The index is **Pāli only** (English/Thai queries pass through the multilingual embedding but the model isn't tuned on Pāli) - English queries usually embed better than Thai (model is EN-primary) - For specific Pāli terms (`appamāda`, `dukkha`), exact match is better — use `search_by_keyword` instead - Pāli stock phrases recur in many suttas → similarity scores cluster; read the top 10, don't trust rank 1 alone
    Connector
  • AI RAG chat, document analysis, shareable summaries on workspaces and shares. Call action='describe' for the full action/param reference. Destructive: chat-delete. Side effects: chat-create/message-send consume credits; chat-cancel terminates an in-progress message (partial tokens billed; idempotent). Verbosity (detail param): chat-list/message-list default to terse (compact rows). chat-details/message-details default to full (drill-down). Pass an explicit detail='standard'|'full' to override.
    Connector
  • Return an expected cost estimate, latency estimate, and success-probability estimate for a proposed call before execution. Accuracy SLO: actual cost within ±5% of preview. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How much will this SMS cost me?" -> call preview_cost({"operation": "send_message", "params": {"channel_preference": "sms"}}) user: "Estimate the cost of booking via voice fallback" -> call preview_cost({"operation": "schedule_appointment"}) WHEN TO USE: Use before any operation when the agent is operating under a budget constraint and needs to decide whether to proceed. WHEN NOT TO USE: Do not use in a hot loop — cache the result for at least 60 seconds if repeating the same preview. COST: $0.001 per_call LATENCY: ~100ms
    Connector
  • List all 10 Blueprint principles with stable slugs, titles, and clusters. Use this when you need the full inventory or want every principle in one cluster (pass cluster slug to filter). Prefer principles.search when the user describes a topic, failure mode, or keyword in natural language. Prefer principles.get when you already know the exact slug and need full detail.
    Connector