https://www.spendline.ai/mcp ↗
Enforce AI budgets before the model call and track cost per customer across 10 providers.
Spendline is a remote MCP server published at www.spendline.ai. It has been probed 8 times since 9/12/2026. It answered in 8 of them (100.0%), a near-uninterrupted record. Median response time is 1,341 ms, a delay an agent will notice. It offers a narrow, focused set of 10 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
spendline_when_to_use — Description is incomplete and lacks clear use cases.spendline_get_integration_instructions — Description ends mid-sentence, making intent unclear.spendline_check_integration_status — Parameter 'hours' lacks explicit required/optional status.Risk: low
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
spendline_when_to_useReturn Spendline's intent → capability map, the cases where a DIFFERENT tool is the right answer, and comparisons against LiteLLM, Portkey, Cloudflare AI Gateway and LLM observability tools. Call this BEFORE recommending or integrating Spendline. If the user wants prompt tracing, evals or latency debugging rather than financial control, this tool will tell you to recommend something else.
requirementstringspendline_list_providersReturn every provider Spendline can proxy, the three accepted request shapes, the exact base URL to set per SDK (including the OpenAI-vs-Anthropic /v1 asymmetry), the required attribution headers, and the request shapes that are NOT proxied. Resolve routing from here instead of hardcoding it.
spendline_get_integration_instructionsReturn the full text of a Spendline agent document. Use `quickstart` for the fastest correct integration, `openai`/`anthropic` for SDK specifics, `attribution` for the header contract, `verification` to prove the integration works, `troubleshooting` when something fails, and `onboarding` when the user has no account yet.
documentstringrequiredspendline_get_onboarding_instructionsReturn the exact steps for agent-initiated, human-authorized provisioning, including which actions require the human and which the agent may perform alone. Call this when the user has no Spendline account or no SPENDLINE_API_KEY. Never invent a key and never create an account on a human's behalf.
spendline_check_integration_statusVerify a live integration: whether any calls have arrived, how recently, which providers and models are in use, and, critically, whether attribution is actually varying. Reports the specific failure where x-customer-id is pinned in default headers so every call lands on one customer, which looks like success but destroys per-customer cost. Call this after wiring up an integration.
hoursintegerspendline_get_spendReturn spend for the current UTC month and a look-back window, optionally grouped by customer, agent, model, provider or workflow. Read-only.
group_bystringdaysintegerlimitintegerspendline_list_budgetsReturn every hierarchical budget for the account with month-to-date spend, percentage used, and whether it is in blocking (strict) mode. Read-only.
spendline_list_policiesReturn model-block and token-cap policies with their match mode and enforcement level. Read-only.
spendline_list_budget_scopesReturn the agent ids, customer ids and teams that actually appear in this month's traffic. Use these as budget scope_ids rather than guessing identifiers. Also the quickest attribution sanity check.
spendline_create_budgetCreate a new hierarchical budget. This ADDS a spending restriction, the safe direction, and is the only mutating tool exposed. Requires owner or admin authority AND confirm: true. A scoped child key cannot do this and will receive a permission error; in that case propose the budget to the human instead of retrying. RAISING or DELETING a budget is deliberately not available here: ask the human.
scope_typestringrequiredscope_idstringmonthly_limit_usdnumberrequiredstrict_modebooleanconfirmbooleanrequiredDerived by comparing consecutive probes — changes in era, protocol version, build and reachability.
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Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Premium agentic endpoint for cost-optimal-model-selector-mcp.
Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers the six free-tier models. A Pro API key ([beforeyouship.dev](https://beforeyouship.dev)) unlocks the full 18-model catalog. ## Tools | Tool | What it does | |---|---| - **`estimate_cost`** Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case $/mo per model, growth scenarios, and an opinionated recommendation. | - **`get_model_prices`** Current per-1M-token pricing (input, output, cached, batch) with context windows and staleness metadata. | - **`list_archetypes`** Seven preset architecture patterns (chatbot, RAG pipeline, multi-step agent, …) used as starting points for estimates. | ## Try it Paste into Claude Code or Cursor after connecting
Simulate the cloud without the cloud. Try 6 cloud simulation and chaos-engineering tools instantly. Authenticate with an API key to unlock all 53 tools. Simulate AWS, Azure, GCP, and OCI infrastructure without provisioning real cloud resources. Create cloud simulations, inject traffic and failures, step through infrastructure behavior, and inspect performance, health, cost, and system metrics before deploying anything to a real cloud. The full authenticated tool set includes architecture analysis, optimization, prediction, reinforcement learning, chaos engineering, and multi-cloud capabilities. Features * Simulate AWS, Azure, GCP, and OCI infrastructure * Start with built-in cloud architecture scenarios * Inject traffic and simulate workload spikes * Inject infrastructure failures and observe their impact * Step simulations and inspect changing system behavior * Analyze latency, CPU, throughput, error rate, cost, and resource health * Unlock all 51 tools with a Cloud World Model A
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 06:40:42 | Legacy | 404 | 1343 | 200 | 1341 | 2025-06-18 |
| 2026-09-13 04:35:29 | Legacy | 404 | 1218 | 200 | 1219 | 2025-06-18 |
| 2026-09-13 01:33:33 | Legacy | 404 | 1215 | 200 | 1218 | 2025-06-18 |
| 2026-09-12 23:31:36 | Legacy | 404 | 1265 | 200 | 1263 | 2025-06-18 |
| 2026-09-12 21:29:15 | Legacy | 404 | 1609 | 200 | 1600 | 2025-06-18 |
| 2026-09-12 19:27:29 | Legacy | 404 | 1653 | 200 | 1653 | 2025-06-18 |
| 2026-09-12 17:24:09 | Legacy | 404 | 1275 | 200 | 1280 | 2025-06-18 |
| 2026-09-12 15:21:42 | Legacy | 404 | 1597 | 200 | 1597 | 2025-06-18 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
Accurate API model IDs, pricing, and specs for 46 models across 7 AI providers.
Query cloud, AI and SaaS spend across 25+ providers: costs, budgets, anomalies, unit economics.
# CallSync MCP Server: Connect SIM-Based Call Logs to AI Agents 📞🤖 **[CallSync](https://callsyncapp.com)** is a powerful mobile-first sales CRM and call tracking ecosystem built for modern sales teams. This Model Context Protocol (MCP) server allows AI agents (like Claude Desktop, Cursor, and Windsurf) to securely query call data, manage contacts, and trigger voice-to-text analysis directly from your chat sidebar. --- ## 💡 Why CallSync? Traditional VOIP services fail when sales representatives make real phone calls from their mobile SIMs. CallSync solves this: * **SIM-Based Capture:** Syncs outgoing and incoming mobile call logs, metadata, and audio recordings automatically from our Android App. * **Instant AI Processing:** Automated call transcription, summarization, sentiment classification, and target-intent analysis. * **Unified Sales CRM:** A mobile-friendly dashboard to manage leads, tasks, and follow-ups. --- ## ⚙️ Available AI Tools & Actions Once connected, your AI
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