Skip to main content
Glama
305,250 tools. Last updated 2026-07-23 03:41

"How to convert text into a MongoDB query" matching MCP tools:

  • Full-text search across parsed module manuals, product pages, and firmware release notes. Use this only when the question is about content that lives in continuous prose rather than in typed fields: - Procedural: calibration sequences, button combos, factory-reset steps, save/load procedures. - Diagnostic: LED color meanings, error indicators, troubleshooting trees. - Firmware specifics beyond the short notes on firmware_versions (which only carry the headline change). - Panel walkthroughs and prose explanations that aren't captured as parameters/jacks/zones. Do NOT call this for content already in get_module: a parameter's behavior, a jack's signal type or polarity, a mode's name or description, capability tags, HP, or power draw. Those are typed and authoritative there. Do NOT call this to summarize a module — that's get_module's job. search_manual returns excerpts, not summaries. Returned chunks are source prose, not typed facts. Read them to ground your answer, then paraphrase and point the user to the source to verify (cite-and-point, not reproduce — SKILL.md §8). `text` is capped (~800 chars); the full passage is at audit_url. Args: - query (string, required): search terms. Plain words are AND'd by default ("calibration LED" matches chunks mentioning both). If the AND match returns 0 rows, the server retries with OR (any-token match) and sets _meta.relaxed_to_or=true on the response — so a long natural-language query like "cascade mode time inner outer delay" still surfaces something useful instead of zeroing out. Best practice is still 2–4 distinctive keywords; the OR fallback is a safety net, not a substitute. Query is tokenized to alphanumeric runs; FTS5 punctuation is stripped. - module_id (string, optional): "<manufacturer>/<module-slug>" — restrict to one module. Strongly recommended when the user has named a module. - source_id (integer, optional): restrict to one source. Use when you already have a source_id from get_source / list_references and want to dig into that specific document. - source_type (string, optional): one of "manual", "product_page", "firmware_notes". Defaults to all. - limit (integer, optional): default 5, max 20. Smaller is usually better — top-3 hits cover most queries. Returns: { "query": string, "matches": [{ "chunk_id": number, "source_id": number, "source_type": string, "source_title": string | null, "module_id": string | null, "heading_path": string, // "Calibration > Tuning Procedure" "snippet": string, // BM25-highlighted excerpt with [matches] in brackets "text": string, // chunk text, capped ~800 chars; paraphrase, don't paste "truncated": boolean, // true if text was trimmed; full passage at audit_url "audit_url": string, // human-readable audit page for the source "rank": number // BM25 score (more negative = better match) }], "total": number, // total matches across the corpus (capped at 200) "_meta": { "kind": "manual_excerpt", "query": <args>, "relaxed_to_or": true // only present when AND returned 0 and OR retry fired } } Examples: - "How do I calibrate Plaits' V/Oct?" → { query: "calibration V/Oct", module_id: "mutable-instruments/plaits" } - "What does the red LED on Marbles mean?" → { query: "red LED", module_id: "mutable-instruments/marbles" } - "How do I reset Pamela's New Workout to defaults?" → { query: "factory reset defaults", module_id: "alm-busy-circuits/pamelas-new-workout" } - "What changed in Plaits firmware 1.2?" → { query: "1.2", module_id: "mutable-instruments/plaits", source_type: "firmware_notes" } Errors: - Returns matches=[] with total=0 if nothing matches. Not an error. - Errors only on malformed input (missing query, invalid limit, unknown source_type).
    Connector
  • Search commercial real estate listings. Returns paginated hits with facet counts. For AI-driven search, call interpret_search first to convert a natural-language query into structured filters, then pass those filters — and its bounds, when present — here.
    Connector
  • Convert a Control Plane resource manifest (YAML or JSON) into the equivalent Terraform (HCL). The manifest is first DRY-RUN VALIDATED against the API (no resource is created) — if it fails validation you get the error instead of HCL, so the returned Terraform always corresponds to a schema-valid resource. Pass `gvc` when the kind is GVC-scoped (workload, identity, volumeset). Set `generateImports` to also return ready-to-run `terraform import` commands. To convert an EXISTING resource instead of a manifest, use export_terraform.
    Connector
  • Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.
    Connector
  • Use this tool whenever the user shares an audio file and wants it transcribed to text. Triggers: 'transcribe this recording', 'convert this audio to text', 'what was said in this meeting', 'transcribe this voice note', 'turn this podcast into text'. Accepts base64-encoded audio (mp3, wav, m4a, ogg, flac, webm, mp4, etc.), max 25MB. Returns the full transcript, word count, and character count. Powered by OpenAI Whisper. Free 200 calls/day — no OpenAI API key required; Toolora absorbs the cost.
    Connector
  • Find specific orders across all connected channels. `query` matches an order ID, line-item ID, or SKU (substring). Filter by channel, attribution state, and date range. Money fields are in minor units (paise for INR) — convert to ₹. Use get_order for full detail on one order.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.

  • Turn words, images, and audio into an animated video with MP4 export.

  • Find your worst queries by TOTAL time — no connection needed. Paste a MySQL slow query log or a PostgreSQL pg_stat_statements export and get a ranked top-N: each query shape with calls, total/mean time, and (slow log) the rows-examined-to-sent ratio, fingerprinted so thousands of log lines collapse into a few classes. Flags the dominant query, N+1 patterns, and full-scan ratios, reports how concentrated the load is (what share of total time the top shapes own), and hands the worst offenders to sixta_analyze_query. Call this whenever the user shares a slow query log or pg_stat_statements export — even a long one — or asks which queries are slowest: summing time across thousands of log lines is arithmetic a model cannot do reliably by eye. Input is analyzed in memory and never stored.
    Connector
  • INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to a search query — use ayah_search for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw results / no widget, OR (b) you will chain the resolved ayah keys into another tool in the same turn (play_ayahs, ayah_tafsir, or ayah_translation) without showing the raw search results to the user. When in doubt, prefer ayah_search. Do not follow ayah_search with this tool — that is duplicated work. Query is Arabic script only; diacritics and punctuation are ignored. A numeric-only query matches ayahs by that ordinal number.
    Connector
  • Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.
    Connector
  • Fetch the latest headlines from the ritbit news feed (curated crypto / markets / business channels, newest first). Filter by `category` (crypto|markets|business) or explicit `channels`, and/or a free-text `query` (a ticker or keyword, matched in the post text and hashtags, e.g. BTC). Each item returns { source, url, publishedAt, tags (hashtags — where tickers appear), text }. There is NO importance field: judge impact yourself from the content (hacks, regulation, large moves, ⚠️ warnings). Use this to factor sentiment/catalysts into an assessment, or to answer "what's the latest?". Headlines are ru/en.
    Connector
  • Use this tool whenever the user shares an audio file and wants it transcribed to text. Triggers: 'transcribe this recording', 'convert this audio to text', 'what was said in this meeting', 'transcribe this voice note', 'turn this podcast into text'. Accepts base64-encoded audio (mp3, wav, m4a, ogg, flac, webm, mp4, etc.), max 25MB. Returns the full transcript, word count, and character count. Powered by OpenAI Whisper. Free 200 calls/day — no OpenAI API key required; Toolora absorbs the cost.
    Connector
  • Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.
    Connector
  • Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.
    Connector
  • Convert a JSON array of objects into a Markdown table. Automatically detects columns, aligns headers, and fills missing keys with empty cells. Use when an agent needs to present structured data — tool results, model comparisons, test reports — as a readable table in a response or document.
    Connector
  • Read-only full-text search over this tenant’s PUBLISHED knowledge-base articles (playbooks, policies, how-tos); unpublished drafts are never returned and the tenant is fixed by your credentials. Reach for this FIRST to ground an answer in official, tenant-specific guidance before replying to a customer or drafting a resolution. Returns articles ranked by relevance, each with its id, title, a highlighted snippet, and updatedAt — search uses AND semantics, so every word in the query must match. [free]
    Connector
  • Find LIVE tools that can accomplish a task you describe in plain language — call this when you do NOT yet know which tool to use. Unlike find_alternatives / find_related_tools (which need a tool id you already have), this takes a free-text capability query (e.g. 'send a slack message', 'convert currency', 'search arxiv papers') and returns ready-to-use tool ids ranked by semantic similarity, filtered to tools that are live right now — each result carries the tool's advertised input schema, its actual connection endpoint (the MCP endpoint URL, or the package to launch for stdio servers), and whether it is FREE or PAID with the price + how to pay — so you can invoke it immediately without a second lookup or an MCP-registry search (on-demand / MCP-Zero style tool discovery). The discovery entry point at the start of a new task.
    Connector
  • Fetch the latest headlines from the ritbit news feed (curated crypto / markets / business channels, newest first). Filter by `category` (crypto|markets|business) or explicit `channels`, and/or a free-text `query` (a ticker or keyword, matched in the post text and hashtags, e.g. BTC). Each item returns { source, url, publishedAt, tags (hashtags — where tickers appear), text }. There is NO importance field: judge impact yourself from the content (hacks, regulation, large moves, ⚠️ warnings). Use this to factor sentiment/catalysts into an assessment, or to answer "what's the latest?". Headlines are ru/en.
    Connector
  • Convert a timestamp between Unix epoch and human-readable date formats. Use this to translate Unix timestamps (e.g., 1717000000) into ISO 8601 date strings, or convert date strings back to Unix timestamps. Parameters: value — The timestamp or date string to convert (required). Accepts Unix timestamps (seconds since epoch) or various date string formats like "2025-05-29" or "May 29, 2025". format — Target output format (default: "iso"). Common values include "iso", "unix", "rfc2822", etc.
    Connector
  • How to pay for API access (x402 micropayments) — the complete self-serve guide for agents: current prices, every accepted asset/chain (USDC/USDT/SOL on Solana, ETH/USDG on Robinhood Chain, USDC on HyperEVM), the merchant addresses, step-by-step topup → session-token → API-key flow, and how to attach credentials to MCP calls. This tool is FREE and NEVER rate-limited — call it when you hit a 402 / rate limit to convert into a paid session ($0.01 minimum buys 100 calls, no signup).
    Connector
  • Search the full Relaystation tool catalog by keyword and get back the best matches. Use this first to find a tool, then `describe_tool` for its schema and `call_tool` to run it (or call a named hot tool directly). `query` is free text (e.g. "merge pdf", "csv to json", "send telegram"). `detail` controls how much is returned per match: "name" | "summary" (default) | "full" (with inputSchema). `limit` defaults to 5. FREE. Example: search_tools {query:"merge pdf", limit:5}
    Connector