"Creating a voice AI for making outbound calls via SIP telephony" matching MCP tools:

• telecom_numbersA

  NuntiorA

  Search available E.164 phone numbers, provision dedicated telecom numbers ($1.50/mo vs $59/mo legacy bundles), list active numbers, or bind a number to a SIP/WebRTC Voice AI Agent trunk. Use this tool when an AI agent needs a dedicated SMS, WhatsApp Business Cloud, or inbound/outbound voice phone number in the US, Spain, UAE, UK, or EU. Returns available or provisioned `TelecomNumber` records with capabilities (`sms`, `voice`, `whatsapp`) and SIP trunk URIs.

  ConnectorNo auth

• telecom_numbersA

  Nuntior — Social, Messaging, Blog & Telecom MCPA

  Search available E.164 phone numbers, provision dedicated telecom numbers ($1.50/mo vs $59/mo legacy bundles), list active numbers, or bind a number to a SIP/WebRTC Voice AI Agent trunk. Use this tool when an AI agent needs a dedicated SMS, WhatsApp Business Cloud, or inbound/outbound voice phone number in the US, Spain, UAE, UK, or EU. Returns available or provisioned `TelecomNumber` records with capabilities (`sms`, `voice`, `whatsapp`) and SIP trunk URIs.

  ConnectorNo auth

• call2me_create_sip_trunkA

  Call2MeB

  Registers a SIP trunk (the user's own telephony provider). The password is stored but never returned. Calls may be routed through this server: Confirm the exact destination/value with the user first.

  Connector

  Destructive

  No auth

• oruk_analyze_speechA

  oruk SpeechA

  Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, selected scores from 15 emotion and 16 speaking-style labels, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.

  ConnectorNo auth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• pingA

  Nordic Financial MCPA

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI AgentsA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerB

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• check_textA

  Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• set_voiceA

  CluesoA

  Set the voiceover voice for every clip in a project, or only for the clips in `clip_ids`. Use this to apply a clueprint's voice (read `voiceover.voice.name` and `voiceover.voice.engine` from the clueprint source data), or to switch all clips to a specific voice in one call. When the user names specific clips, pass their ids in `clip_ids` so the other clips keep their voice. The voice is looked up by name (case-insensitive; a saved voice's code also works), preferring `voice_engine`. Never guess a name: a name that matches nothing applies the workspace default and returns `matched: false` with a note. Then pick a real voice with find(type='voices'), re-apply, and tell the user. `engine_substituted: true` means the named voice exists only on another engine and was applied there. Common engines: 'eleven' (ElevenLabs), 'cartesia', 'google'. ElevenLabs voices use the latest voice generation unless `voice_version` says otherwise; a voice the workspace saved keeps its saved version. Leave it unset; pass "legacy" ONLY when the user explicitly asks for the legacy/older voice generation.

  ConnectorNo auth

• create_characterA

  VidGuyB

  Create a new saved character/actor for UGC video — the API equivalent of adding an actor in the dashboard. Supply ONE of: fromLibraryId (clone a preset from list_character_library into the user's saved actors — FREE, name/voice default to the preset's); imageUrl (a public/hosted image — use import_asset_from_url or create_upload first if you only have raw bytes — saved for FREE); or a text prompt to AI-generate a 9:16 portrait (SPENDS 1 credit). Returns characterId to pass as the UGC characterId on create_video. Optionally set defaultVoiceId. NOTE: a library preset can already be used directly as a UGC characterId — only clone it here when the user wants their own editable copy (e.g. a custom voice).

  Connector

  Destructive

  OAuth

• cast_enhance_voiceA

  Mubert Cast MCPA

  AI cleanup of a recording: `speech` = noise + room removal (strength subtle/medium/strong), `music` = keep only the voice from a mixed track, `bg_music` = voice + a little of the original bed. Free. Produces a NEW audio_file_id — use it as the voice source in cast_build_project (cuts planned on the original still apply: same timeline). Enhance the ORIGINAL upload, not an already-enhanced file. On the free plan an API call returns a 60-second head preview (enough to A/B it) — the full-length render is one free click in the editor, or a paid-plan API call. The response says which you got.

  ConnectorOAuth

• estimate_costA

  Lumify Sports IntelligenceA

  Estimate the credit cost of one or more planned tool calls before making them — no credits are spent. Costs are data-dependent (e.g. odds/intelligence/splits not yet ingested for an event are free, and batch_get_events ids that don't exist cost nothing), so this returns a [min_credits, max_credits] range per call rather than a single number. Pass the exact tool name and arguments you're considering, e.g. {"tool": "get_event", "arguments": {"event_id": 123, "include_odds": true}}.

  ConnectorAPI key

• minimize_sip_traceA

  SipflowA

  [cost: free (pure CPU, no network) | read-only, no persistence] Reduce a raw SIP trace to a compact form suitable for sending to an LLM. Preserves SDP bodies and routing/auth/dialog headers; prunes well-known noise (User-Agent, Server, Allow, Accept-*, Date, P-* informational, etc.). Expected input format: raw SIP messages separated by blank lines, each starting with a request line (`INVITE sip:...@... SIP/2.0`) or status line (`SIP/2.0 200 OK`). PCAP-decoded text from sngrep / ngrep / tcpdump / tshark, syslog with SIP body, sipflow's own export format, or a hand-pasted INVITE/200 dialog all work. Annotation lines like `# [timestamp] sender -> receiver` or ngrep-style `U <ip>:<port> -> <ip>:<port>` between blocks are tolerated. Safe to run on production traces - the input is processed in-memory and is not persisted or sent off-server. Pair with: `detect_sip_stack` to identify the vendor, then `search_sip_docs(vendor=...)` for vendor-grounded analysis; `render_sip_ladder` to visualize the trace as a Mermaid call-flow ladder; `lint_sip_request` / `parse_sip_message` to mechanically validate any single message in the trace.

  ConnectorNo auth

• dns_diagnose_sip_targetA

  SipflowA

  [cost: external_io (DNS via Cloudflare + Google; TLS handshake + a SIP OPTIONS keepalive to public targets when applicable) | read-only | rate-limited per IP: 10/min, 200/day] Walk DNS the same way a SIP UA does (RFC 3263 §4.1): NAPTR → SRV → A/AAAA. Given a SIP URI ("sip:example.com"), bare hostname ("example.com"), or "host:port" string, return the records that exist and the resolution ladder a UA would try. When the queried target uses TLS (`sips:` URI, `transport=tls/wss`, or any `_sips._tcp` SRV record), the tool also performs a TLS handshake against each resolved sips target and reports the negotiated TLS version + cipher, the leaf certificate's subject / issuer / SANs / validity, the chain length and whether it validates against Node's default trust store, plus two cert-domain checks: RFC 5922 §7.2 strict (cert must cover the original SIP domain) and a lenient SAN match against the SRV target hostname. SIP liveness: DNS resolving and a TLS handshake succeeding do NOT prove the endpoint actually speaks SIP - a load-balanced node can accept TCP/TLS yet black-hole SIP. So the tool ALSO sends a real SIP OPTIONS keepalive to each resolved public IP across the relevant transports (UDP/TCP on 5060, TLS on 5061 / SRV port) and reports per-IP answered / timeout / refused. Any SIP response (even 405/403/404) proves the stack is alive on that IP. When a name resolves to multiple IPs it is treated as a load-balancer fan-out and each IP is probed individually, with a warning about the known failure modes of fronting stateful SIP/RTP with a cloud L4 LB (AWS NLB/ALB etc.): cross-zone-off targets that black-hole, the ~120s UDP idle timeout, and per-5-tuple hashing splitting signaling from media. Egress safety: - Per-IP rate limited. - Hostnames that resolve only to RFC 1918 / loopback / link-local / documentation / multicast space are refused (SSRF guard). - Walk depth capped to prevent runaway NAPTR / CNAME chains. - TLS probes capped at 6 (host, port, ip) tuples per call, 5 s handshake timeout each, public-IP only (we connect to the resolved IP, not the hostname, so the system resolver cannot redirect us into private space). - SIP OPTIONS probes capped at 6 (ip, transport) tuples per call, 3 s timeout each, public-IP only; the request carries no SDP/body and an unroutable Via, and only the response status line is captured. Use to diagnose: - "carrier doesn't answer" / "wrong port" / "TLS instead of UDP" routing puzzles - "DNS looks healthy but calls fail" - per-IP SIP OPTIONS surfaces nodes that resolve and accept the transport but never answer SIP (the decisive step for load-balanced / multi-IP targets) - "carrier rejects our target because no SRV is published" - when A/AAAA resolves but SRV is missing the tool synthesises a copy-pasteable suggested zone-record block pointing at the resolved canonical hostname - "TLS handshake works but cert isn't valid for the SIP domain" - RFC 5922 §7.2 compliance is checked separately from generic chain validation, since the SAN must cover the *original* SIP domain (not the SRV-redirected target) ACL caveat: a SIP OPTIONS timeout can also mean the target authorizes inbound SIP by source IP whitelist on the trunk (Twilio, Telnyx, Bandwidth, …; see https://www.twilio.com/docs/sip-trunking/api/ipaccesscontrollist-resource) and is dropping our probe because our egress IP is not on the ACL. An `answered` result is conclusive (the node speaks SIP); a `timeout` is suggestive, not proof of a dead node - confirm reachability from the SBC itself. Pair with: `troubleshoot_response_code` when 503 / 408 / 480 are involved; `search_sip_docs(vendor=...)` for carrier-specific routing docs.

  ConnectorNo auth

• fetch_sipflow_shareA

  SipflowA

  [cost: external_io (Mongo + S3 fetch on the Sipflow backend) | read-only, no persistence | rate limit: shared with the public share endpoint] Given a Sipflow share URL (https://sipflow.dev/share/<token>, or any sipflow.dev subdomain that serves /share/<token>), load the shared SIP trace AND any prior AI analysis attached to it in a single round trip. Use this whenever a user pastes a `/share/<token>` URL: the tool fetches the redacted trace text, the AI executive summary / root-cause / remediation steps (if present), and metadata (vendor, filename, source format, pseudonymized flag), so the agent can review the trace alongside the user's own configs without manual download + paste. In addition to the AI output, the response includes rule-based diagnostics: detected issues (severity-tagged SIP/SDP/media problems with RFC references), WebRTC signal checklist scores, multi-leg call correlation (Session-ID grouping), and detected SIP stacks (User-Agent/Server header values). These diagnostics are computed at share-creation time; for older shares without persisted diagnostics, the tool parses the trace on the fly. When the share includes media quality data (from PCAP-sourced captures), the response includes per-call MOS/jitter/loss summaries in the text output and full `mediaQuality` stats in `structuredContent`. If `hasRawCapture` is true, the sharer included their original PCAP for full RTP playback on the web UI - this raw binary is not returned to agents. Privacy: the share endpoint deliberately strips the original `problem` and `architecture` fields the sharer typed in (those may contain customer-internal context). This tool returns the same public projection - only the trace, the AI output, diagnostics, and basic metadata. Traces are pseudonymized by default (phone numbers / IPs / Call-IDs replaced with consistent fakes); the `pseudonymized` field tells you whether the sharer opted to keep raw values. Trace bytes are capped at 200kB (matching the budget the Sipflow AI worker uses). For very large captures the response sets `trace.truncated=true` - pair with `minimize_sip_trace` to compact further before passing to your own LLM, or with `render_sip_ladder` to visualize the call flow. Pair with: `review_sip_config` to compare the shared trace against the user's own kamailio.cfg / pjsip.conf / FreeSWITCH XML; `render_sip_ladder` to draw the shared call flow inline; `minimize_sip_trace` if `trace.truncated` is true; `troubleshoot_response_code` for any failing transactions surfaced in the AI analysis.

  ConnectorNo auth

• get_payment_optionsA

  headless-oracleA

  Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). Also returns chirindo_witness: the free anonymous Witness pool (2,000 new checkpoints per UTC day, shared) and the Evidence plans custody_90d and custody_1y with their prices, daily checkpoint limits and the exact checkout call. RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path, chirindo_witness }. No authentication required. Always returns 200.

  ConnectorNo auth

• get_payment_optionsA

  Headless OracleA

  Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). Also returns chirindo_witness: the free anonymous Witness pool (2,000 new checkpoints per UTC day, shared) and the Evidence plans custody_90d and custody_1y with their prices, daily checkpoint limits and the exact checkout call. RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path, chirindo_witness }. No authentication required. Always returns 200.

  ConnectorNo auth

• list_platinum_filmsA

  SirenB

  The platinum shelf: studio-grade films that match a top motion studio's craft, told as the brand's own story. Each costs 50 credits, every time (a normal film is 25). Offer one only when the human is making a big launch they genuinely want to go far; everyday posts and normal budgets use list_films. Say the price before you render. Ids end in -plt. Platinum needs a paid plan or a credit top-up: a complimentary plan sees it but gets 402 platinum_needs_paid_plan. voice MM = motion and music only (no voice-over question, no narration); MVM = motion, voice and music. Then describe_film for the body, same as any film.

  ConnectorOAuth

• set_voice_settingsA

  ReminderItA

  Change the account's DEFAULT voice, affecting every reminder without an override. For a single reminder only, use set_reminder_voice instead. Get valid IDs from list_voices; preview_voice lets the user hear one first. Args: voice_id: Voice ID from list_voices. personality: "gentle", "cheerful", "professional", or "energetic". language: BCP-47 tag, e.g. "en-US", "en-GB", "hi-IN". speaking_rate: 0.8 (slower — often better for elderly listeners) to 1.2 (faster). greet_by_name: Whether calls open by greeting the user by name.

  Connector

  Destructive

  No auth

• draft_video_scriptA

  Post KitA

  Use this when the user wants a script for a short vertical video, such as "write a 25-second TikTok and Reels script about our new app". Pass the topic, with the facts to use, and 1 to 4 platforms from tiktok, youtube_shorts, instagram_reels, x_video; say in the topic if an AI-generated presenter or voice will be used. Returns a script on a fixed clock (hook 0 to 3 seconds, body 4 to 20 seconds, call to action by about 25 seconds) with voiceover, on-screen text and visuals, a timing check, a caption for each platform checked against its rules, each platform's official video length limit with its source, and an ai_disclosure block naming the AI label that applies when the script declares an AI-generated person or voice. Uses only the facts given. It does not publish, make the video, clone voices or write for fake-identity accounts.

  ConnectorNo auth