Skip to main content
Glama
127,264 tools. Last updated 2026-05-05 12:34

"Services or tools for transcribing audio or text" matching MCP tools:

  • PREFER THIS over guessing tool names when picking from this server. Searches Flow Studio MCP tools by keyword, skill bundle, or explicit selector and returns full JSON schemas for matched tools so they can be called immediately. Call this whenever the user request maps to functionality you are not 100% sure about, OR when you want to load a whole skill bundle (build-flow, debug-flow, monitor-flow, discover, governance) at once. Query forms: (1) "skill:<name>" — fetch the full bundle (use list_skills first to see options); (2) "select:name1,name2" — fetch exact tools by name; (3) free-text keywords like "cancel run" or "trigger url" — ranked match against tool name + description. Non-billable.
    Connector
  • Primary tool for reading a filing's content. Pass a `document_id` from `list_filings` / `get_financials`. MANDATORY for any substantive answer - filing metadata (dates, form codes, descriptions) alone doesn't answer the user; the numbers and text live inside the document. ── RESPONSE SHAPES ── • `kind='embedded'` (PDF up to ~20 MB; structured text up to `max_bytes`): returns `bytes_base64` with the full document, `source_url_official` (evergreen registry URL for citation, auto-resolved), and `source_url_direct` (short-TTL signed proxy URL). For PDFs the host converts bytes into a document content block - you read it natively including scans. • `kind='resource_link'` (document exceeds `max_bytes`): NO `bytes_base64`. Returns `reason`, `next_steps`, the two source URLs, plus `index_preview` for PDFs (`{page_count, text_layer, outline_present, index_status}`). Use the navigation tools below. ── WORKFLOW FOR kind='resource_link' ── 1. Read `index_preview.text_layer`. Values: `full` (every page has real text), `partial` (mixed), `none` (scanned / image-only), `oversized_skipped` (indexing skipped), `encrypted` / `failed`. 2. If `full` / `partial`: call `get_document_navigation` (outline + previews + landmarks) and/or `search_document` to locate pages. If `none` / `oversized_skipped`: skip search. 3. Call `fetch_document_pages(pages='N-M', format='pdf'|'text'|'png')` to get actual content. Prefer `pdf` for citations, `text` for skim, `png` for scanned or oversized. ── CRITICAL RULES ── • **Navigation-aids-only**: previews, snippets, landmark matches, and outline titles returned by the navigation tools are for LOCATING pages. NEVER cite them as source material - quote only from `fetch_document_pages` output or this tool's inline bytes. • **No fallback to memory**: if this tool fails (rate limit, 5xx, disconnect), do NOT fill in names / numbers / dates from training data. Tell the user what failed and offer retry or `source_url_official`. • Don't reflexively retry with a larger `max_bytes` - for big PDFs the bytes are unreadable to you anyway. Use the navigation tools instead. `source_url_official` is auto-resolved from a session-side cache populated by the most recent `list_filings` call. The optional `company_id` / `transaction_id` / `filing_type` / `filing_description` inputs are OVERRIDES for the rare case where `document_id` didn't come through `list_filings`. Per-country document availability, format, and pricing - call `list_jurisdictions({jurisdiction:"<code>"})`.
    Connector
  • Transcribe audio or video to text, including per-word timestamps for precise editing. Three-call flow: (1) call with `filename` to receive {job_id, payment_challenge}; (2) pay via MPP, then call with `job_id` + `payment_credential` to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns presigned download URLs for two files: role `transcript` (SRT) and role `transcript-words` (JSON matching /.well-known/weftly-transcript-v2.schema.json, with segment-level and per-word timestamps). For other formats, pass `format=srt|txt|vtt|json|words` to get_job_status to receive content inline — `txt` and `vtt` are derived from SRT, `json` is v1 (segments only), `words` is v2 (segments + words). Flat price: audio $0.50, video $1.00 — see /.well-known/mpp.json for the authoritative table. Use for podcasts, interviews, meetings, lectures, and especially for creating clips, multicamera edits, or edit-video-from-transcript where word boundaries matter. Retrying any call with `job_id` alone returns current state (idempotent). Failed jobs auto-refund.
    Connector
  • Generate a video from a text prompt. Uses Kling v3 — cinematic quality, consistent motion, physics-aware rendering. Standard and pro quality modes with optional AI-generated audio track. Async — returns requestId, poll with check_job_status. Pricing: standard 300-400 sats/sec, pro 450-550 sats/sec (audio adds 100 sats/sec). Duration 3-15 seconds. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_video' and duration, mode, generate_audio params.
    Connector
  • Transcribe audio to text with timestamps. Uses Mistral Transcription — high-accuracy speech recognition that handles accents, background noise, and overlapping speakers. 13 languages: en, zh, hi, es, ar, fr, pt, ru, de, ja, ko, it, nl. Up to 512 MB / 3 hours per file. Async — returns requestId, poll with check_job_status(jobType='transcription'), then get_job_result. 10 sats/min. Privacy: audio and transcripts are ephemeral — processed, returned, and discarded. Never persisted. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='transcribe_audio'.
    Connector
  • Get a human's public profile by ID — bio, skills, services, equipment, languages, experience, reputation (jobs completed, rating, reviews), humanity verification status, and rate. Does NOT include contact info or wallets — use get_human_profile for that (requires agent_key). The id can be found in search_humans results.
    Connector

Matching MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    Last updated
    18
    MIT

Matching MCP Connectors

  • INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to a 'what reciters are available' question — use list_reciters for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw data / no widget, OR (b) you will chain the result into play_ayahs in the same turn without showing the raw list (e.g. user asks to play audio by a named reciter; call this to resolve reciter_id, then call play_ayahs). When in doubt, prefer list_reciters.
    Connector
  • Get customer testimonials tied to a specific project (by slug or keyword) from the testimonials table. Returns star rating, customer name, project name, and quote text. Use to source social proof or case-study quotes for a particular job. For unfiltered reviews, use list_reviews.
    Connector
  • Read a workspace's doc (TipTap rich-text) body. Returns three forms of the same content: `content` (TipTap JSON, round-trippable into update_doc for structural edits), `markdown` (CommonMark + GFM, ready to feed to an LLM or render in a non-ProseMirror surface), and `text` (plain text, best for search, summarisation, word-count heuristics). A workspace can hold any combination of doc and table surfaces, one or many of either kind; omit `surface_slug` to read the primary doc surface, or pass it to target a specific doc tab (use `list_surfaces` to enumerate). An unwritten or absent doc returns content={}/markdown=""/text=""; a `surface_slug` that doesn't match any live doc surface 404s.
    Connector
  • List top sending sources (ESPs, ISPs, mail services) for a domain, grouped by source type. Filters: "known" (legitimate ESPs like Google, Mailgun), "unknown" (unrecognized senders), "forward" (forwarding services). Empty = all types. Returns top 20 per type with message volume, SPF/DKIM/DMARC pass/fail counts. Use this to investigate WHERE email is being sent from — especially when unknown sources appear or compliance is low. To drill down into a specific source (by IP, ISP, hostname, or reporter), use get_domain_source_details.
    Connector
  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile
    Connector
  • Get the list of legal document templates available for generation on the platform (e.g. NDA, employment agreement, stock purchase agreement). For corporate services like 83(b) filing or registered agent, use get_available_corporate_services instead.
    Connector
  • Get an exact sat cost quote for a service BEFORE creating a payment. Useful for budget-aware agents to price-check before committing. No payment required, no side effects. Pass service=text-to-speech&chars=1500, service=translate&chars=800, service=transcribe-audio&minutes=5, etc. Returns { amount_sats, breakdown, currency }. Omit params to see the full catalog of supported services.
    Connector
  • Read the contents of an attached file directly. Use this when the user asks 'what is in this file?' or 'read this document'. Works for text files (.txt, .md, .json, code files, etc.) and PDFs (returns OCR-extracted text after files.ingest). For images, use files.get_base64.
    Connector
  • Colorize black-and-white or grayscale photos. DDColor (dual-decoder, ICCV 2023) — vivid, natural colorization. Impossible for text/vision LLMs. 5 sats per image, pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='colorize_image'.
    Connector
  • Authenticate this MCP session with your BopMarket API key. Call this once before using cart, checkout, price watch, order, or listing tools. Read-only tools (search, get_product, batch_compare, get_categories) work without auth. Buyer keys: sk_buy_*. Seller keys: sk_sell_*.
    Connector
  • Clone any voice from a single audio sample. Returns a reusable voice_id for text_to_speech — speak in the cloned voice indefinitely. High-fidelity reproduction capturing tone, cadence, and accent. Turbo (faster) or HD (higher quality) modes. 7,500 sats per clone. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='clone_voice'.
    Connector
  • INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to a 'what reciters are available' question — use list_reciters for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw data / no widget, OR (b) you will chain the result into play_ayahs in the same turn without showing the raw list (e.g. user asks to play audio by a named reciter; call this to resolve reciter_id, then call play_ayahs). When in doubt, prefer list_reciters.
    Connector