Mcpcat Typescript Sdk: the address we list now redirects elsewhere · last checked 26 Oct 2026
Mcpcat Typescript Sdk
AgentCat (formerly MCPcat) delivers session replay and agent-intent analytics for MCP servers via open-source TypeScript and Python SDKs.
AgentCat earns its keep the moment an MCP tool call fails and you can't reproduce it — session replay plus impact-grouped errors is the pairing that justifies the $160/mo Growth tier. Free is genuinely usable at 500 sessions with no card, so you'll know whether Growth is worth it before you commit. Budget the extra $90/mo for LLM Goals only once you're actually making roadmap calls from agent intent.
Verdict generatedLast checked 6d ago · cite: rightaichoice.com/tools/mcpcat-typescript-sdk
- MCP server owners who need to trace exactly which tool call failed and why
- Teams scaling agent traffic that want per-tool performance and impact-ranked error grouping
- Product and engineering leads deciding roadmap from real agent intent, not guesses
- Startups shipping Claude Connectors or ChatGPT Apps that call their MCP tools
- Teams not running a Model Context Protocol server — there is no signal to collect
- Anyone wanting one tool to cover their whole infrastructure; this sees MCP traffic only
- Solo projects with only a handful of active sessions a month
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Skip AgentCat if you don't run an MCP server, or if you need one observability tool covering all your infrastructure — AgentCat only sees MCP tool-call traffic.
Free and Growth both overage at $40 per 1,000 sessions once you pass 500 and 2,000 respectively — heavy agent traffic can multiply your bill fast.
AgentCat's Free tier ($0, 500 sessions) suits solo MCP server builders testing the water, and Growth at $160/mo billed monthly (2,000 sessions, 180-day history, error grouping) fits small teams scaling agent traffic. Budget another $90/mo for LLM Goals. Enterprise is annual, custom-priced, and unlocked only when you need SSO/SAML, audit logs, warehouse exports, or self-hosting. It is cheaper than a full enterprise APM seat, but not a fit if MCP isn't your stack.
In short
Mcpcat Typescript Sdk — AgentCat (formerly MCPcat) delivers session replay and agent-intent analytics for MCP servers via open-source TypeScript and Python SDKs. Best for MCP server owners who need to trace exactly which tool call failed and why, Teams scaling agent traffic that want per-tool performance and impact-ranked error grouping, Product and engineering leads deciding roadmap from real agent intent, not guesses. Free to start; paid plans from $160/mo.
What is Mcpcat Typescript Sdk?
Mcpcat Typescript Sdk — AgentCat (formerly MCPcat) delivers session replay and agent-intent analytics for MCP servers via open-source TypeScript and Python SDKs. Best for MCP server owners who need to trace exactly which tool call failed and why, Teams scaling agent traffic that want per-tool performance and impact-ranked error grouping, Product and engineering leads deciding roadmap from real agent intent, not guesses. Free to start; paid plans from $160/mo.
AgentCat, the platform that until July 2026 shipped as MCPcat, is analytics and observability built specifically for Model Context Protocol servers — the layer Claude Connectors and ChatGPT Apps call into. If you run MCP tools, it answers the question general APM tools can't: which tools got called, what the agent was actually trying to do, and where a call broke. Instrumentation runs through open-source TypeScript and Python SDKs, so a solo builder and a funded startup set up the same way. The centerpiece is session replay: step through every tool call in a session — request, response, exact error — then share a link so the whole team sees the same thing. Errors, hallucinations, and crashes get grouped automatically by impact, and per-tool performance tracking narrows down which tools generate problems. Rich dashboards show trends over time, and A/B testing lets you validate a change before shipping it. Sitting on top is the LLM Goals add-on, which clusters traffic into named use cases and classifies each session so roadmap calls rest on observed agent behavior rather than guesswork. Triage happens where your team already works — @mention AgentCat in Slack, or connect through the AgentCat MCP server. Two-layer redaction splits PII protection between client-side hooks and server-side settings. Security is unusually complete for a product this young: SOC 2 audited annually, SSO and SAML, audit logs, access controls, and Enterprise exports to S3, Snowflake, or BigQuery plus self-hosting on your own cloud. Against Datadog or Sentry, the difference is scope — those watch your infrastructure, AgentCat watches what agents asked your server to do.
Key features
- Session replay with step-by-step MCP tool call inspection
- View the exact request, response, and error for each tool call
- Shareable session links for team-wide debugging
- Automatic error, hallucination, and crash grouping by impact
- Per-tool performance monitoring and error rates
- LLM Goals add-on: per-session intent classification
- Use case clustering and trend discovery across sessions
- Analytics dashboard with trends and session history
- A/B testing to validate tool changes before shipping
- Custom user attribute filtering and segmentation
- Open-source TypeScript SDK
- Open-source Python SDK
- Two-layer redaction via client-side hooks and server-side settings
- @mention AgentCat in Slack for triage
- Triage via the AgentCat MCP server
Behind the verdict
Pick AgentCat if agents are already hitting your MCP server and you're debugging blind. The replay view alone changes how fast you diagnose a broken tool call — stepping through request, response, and the exact error beats grepping logs by a wide margin. Growth at $160/mo buys 2,000 sessions, unlimited projects, error grouping, and 180 days of history, which is the realistic floor for a team fielding real traffic. Where it bites: this only sees Model Context Protocol traffic. If you're not running an MCP server, there's no signal to collect and nothing to buy. It also won't replace your broader observability stack — dogfooding teams that already pay for Datadog or Sentry will run AgentCat alongside them, not instead. Session math deserves attention. Free caps at 500 sessions a month and pauses recording (your data stays visible) unless you add a card; overage runs $40 per 1,000 sessions on both Free and Growth. High-volume consumer apps can blow past 2,000 sessions faster than they expect. LLM Goals is the optional layer at $90/mo for 1,000 classifications, $60 per 1,000 after. It's the piece that turns raw sessions into named use cases you can put in a QBR — genuinely useful, but skip it until you're making prioritization decisions from agent intent rather than firefighting errors. Enterprise is annual and invoice-billed, and it's the only tier with SSO/SAML, audit logs, 2-year history, warehouse exports, and self-hosting. If compliance review is on your roadmap, plan ahead — those controls don't exist on Growth. Open-source projects can email for free plans.
Limitations
- Free provides 500 sessions/month (then $40 per 1,000) for 1 project and up to 3 teammates; recording pauses at 500 without a card, though existing data, dashboards, and replays keep working.
- Growth is $160/month billed monthly, with 2,000 sessions/month (then $40 per 1,000), unlimited projects, up to 10 teammates, Issues & Error Grouping, and LLM Goals as an add-on.
- The LLM Goals add-on costs $90/month (1,000 classifications, then $60 per 1,000) and is available on Growth and Enterprise plans.
- Enterprise offers custom session volume, custom team size, S3/Snowflake/BigQuery exports, SSO & SAML, audit logs, priority Slack support, and SLA guarantees via annual invoice billing.
as of 2026-10-07
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Is Mcpcat Typescript Sdk still active?
Mcpcat Typescript Sdk: the address we list now redirects elsewhere · last checked 26 Oct 2026.
Viability score
How well maintained and how widely used is Mcpcat Typescript Sdk? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Mcpcat Typescript Sdk?
What people actually say about Mcpcat Typescript Sdk — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Mcpcat Typescript Sdk— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Mcpcat Typescript Sdk 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, features, our verdict, who it suits, description, summary
- — changed limitations
- — changed limitations, who it suits, description, our verdict, features, hidden costs, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, summary, use cases
- — changed limitations
- — changed who should skip it, pricing tiers, description, who it suits, our verdict, summary, features
- — changed limitations, pricing page, description, switching in, switching out, pricing tiers, pricing fit, summary, setup time, our verdict, who should skip it, hidden costs, who it suits, features
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Mcpcat Typescript Sdk cost in 2026?
Mcpcat Typescript Sdk: Free to start; paid plans from $160/mo. Pricing last verified 24 Oct 2026.
Plans compared
Every published Mcpcat Typescript Sdk tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Solo MCP server developer or small project validating that agent analytics is useful before paying anything.Adds: Free entry point: 500 sessions/mo (then $40 per 1,000), 1 project, up to 3 teammates, 60 days of history, no card required. |
| Growth | $160/mo | monthly | Small team scaling an MCP server that needs error grouping and a longer history window.Adds: Adds 2,000 sessions/mo (then $40 per 1,000), unlimited projects, 10 teammates, 180 days of history, and Issues & Error Grouping over Free. |
| LLM Goals Add-on | $90/mo | monthly | Product and engineering leads who want per-session agent intent and use-case clustering on top of Growth or Enterprise.Adds: Add-on to Growth/Enterprise: $90/mo covering 1,000 goal classifications (then $60 per 1,000), zero-touch setup from existing activity. |
| Enterprise | Custom | quote | Compliance-bound organisations needing SSO/SAML, audit logs, self-hosting, warehouse exports, and an SLA.Adds: Above Growth: custom session volume, unlimited projects and team size, S3/Snowflake/BigQuery exports, SSO & SAML, audit logs, self-hosting, priority Slack support, SLA. Annual, invoice-billed. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Mcpcat Typescript Sdk's pricing actually pencils out — and where peers do it cheaper.
AgentCat's Free tier ($0, 500 sessions) suits solo MCP server builders testing the water, and Growth at $160/mo billed monthly (2,000 sessions, 180-day history, error grouping) fits small teams scaling agent traffic. Budget another $90/mo for LLM Goals. Enterprise is annual, custom-priced, and unlocked only when you need SSO/SAML, audit logs, warehouse exports, or self-hosting. It is cheaper than a full enterprise APM seat, but not a fit if MCP isn't your stack.
Who should pick Mcpcat Typescript Sdk?
Pick Mcpcat Typescript Sdk if you are MCP server owners who need to trace exactly which tool call failed and why, Teams scaling agent traffic that want per-tool performance and impact-ranked error grouping, Product and engineering leads deciding roadmap from real agent intent, not guesses, Startups shipping Claude Connectors or ChatGPT Apps that call their MCP tools.
Look elsewhere if you are Teams not running a Model Context Protocol server — there is no signal to collect, Anyone wanting one tool to cover their whole infrastructure; this sees MCP traffic only, Solo projects with only a handful of active sessions a month, Buyers who need SSO, audit logs, or self-hosting but can't commit to an annual Enterprise contract.
Skip it if Skip AgentCat if you don't run an MCP server, or if you need one observability tool covering all your infrastructure — AgentCat only sees MCP tool-call traffic.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Mcpcat Typescript Sdk actually fits — and what changes day-one when you adopt it.
You ship a Claude Connector, drop the TypeScript SDK into your server, and watch the Free dashboard fill with sessions. A tool starts erroring for a subset of users.
Outcome: You open session replay, step through the failing call, see the exact response and error, and ship a fix the same afternoon — no card required.
Agent traffic triples and error rates climb. You move to Growth for impact-grouped errors and per-tool performance tracking, then add LLM Goals to see which use cases agents are actually attempting.
Outcome: You cut debugging from days to hours and take real intent clusters into your QBR instead of guessing at roadmap priorities.
Security review demands SSO/SAML, audit logs, and data residency. You move to the annual Enterprise plan and self-host AgentCat in your own cloud with two-layer redaction in place.
Outcome: You keep agent observability without shipping sensitive payloads off your infrastructure, and export session data to Snowflake or BigQuery for long-term analysis.
Use cases
- Identify which tools in your MCP server cause the most errors and prioritize fixes.
- Replay agent sessions to debug why a specific tool call failed.
- Track agent goals to discover new use cases your server is being used for.
- Monitor performance trends per tool to keep critical endpoints reliable.
- Segment users by custom attributes to understand how different cohorts use your server.
Setup time & first value
How long it actually takes to get something useful out of Mcpcat Typescript Sdk — broken out by persona, not the marketing-page minute.
Solo developers typically reach first value in under 30 minutes — install the open-source TypeScript or Python SDK and sessions start appearing. Teams adding Growth features like error grouping and A/B testing usually need a day to wire dashboards and alerting. Enterprise with self-hosting and SSO is a multi-week rollout with implementation support.
Switching to or from Mcpcat Typescript Sdk
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From raw server logs: install the TypeScript or Python SDK and AgentCat reconstructs full sessions with tool calls, responses, and errors automatically.
- →From MCPcat: the July 2026 rebrand to AgentCat requires no SDK changes or breaking migrations — your existing instrumentation keeps reporting.
- →From a generic APM tool: keep your infra monitoring, add AgentCat alongside it, and use session replay for the MCP-specific layer APM can't see.
- ↗To a full-stack APM (e.g. Datadog, Sentry): useful if you need whole-infrastructure coverage, but you lose agent-intent clustering and MCP session replay.
- ↗To DIY logging: possible since the SDKs are open source, but you'll rebuild session grouping, error impact ranking, and dashboards yourself.
- ↗To warehouse-native analysis: Enterprise's S3, Snowflake, and BigQuery exports let you move session data into your own stack for custom reporting.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Mcpcat Typescript Sdk”, and we withheld 6: 6 did not mention Mcpcat Typescript Sdk. We are showing none, because we could not prove any of them are about Mcpcat Typescript Sdk.
Official links
What are the best Mcpcat Typescript Sdk alternatives?
The closest alternatives to Mcpcat Typescript Sdk we list are Lmnr, TruLens and RAGAS. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Lmnr | Freemium | Pricing not published | — |
| TruLens | Free | Free | — |
| RAGAS | Free | Free | — |
Alternatives to Mcpcat Typescript Sdk
View all
Tools that pair well with Mcpcat Typescript Sdk
Common stack mates teams adopt alongside Mcpcat Typescript Sdk, with the specific reason each pairing earns its keep.
Lmnr
Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.
TruLens
Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.
RAGAS
Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.
Mcpcat Typescript Sdk vs its closest rival
Mcpcat Typescript Sdk's closest head-to-head is with Spider Cloud — If your project revolves around the MCP protocol and you need deep observability into agent-tool interactions, MCPcat is the only purpose-built solution. For any team requiring raw web data for RAG pipelines or AI agents—regardless of protocol—Spider Cloud offers far broader functionality, lower cost per page, and extensive integrations. Choose MCPcat if you're a dedicated MCP server owner; otherwise, Spider Cloud is the more versatile and cost-effective pick. Verdict generated
Head-to-head comparisons
Mcpcat Typescript Sdk vs Spider Cloud
If your project revolves around the MCP protocol and you need deep observability into agent-tool interactions, MCPcat is the only purpose-built solution. For any team requiring raw web data for RAG pipelines or AI agents—regardless of protocol—Spider Cloud offers far broader functionality, lower cost per page, and extensive integrations. Choose MCPcat if you're a dedicated MCP server owner; otherwise, Spider Cloud is the more versatile and cost-effective pick.
GeneratedMcpcat Typescript Sdk vs Screenplayiq
If you build or maintain an MCP server, MCPcat is essential for debugging agent behavior and optimizing tool performance with session replay and funnel analytics. If you're a screenwriter or producer, ScreenplayIQ offers unique box office predictions and structural insights that can inform commercial decisions. They are completely distinct tools targeting different audiences; choose based on your domain.
GeneratedMcpcat Typescript Sdk vs Temporal Ai
Choose MCPcat if your primary need is deep analytics and debugging for an existing MCP server, especially to understand agent behavior and drop-offs. Choose Temporal AI if you need a reliable, durable execution platform to orchestrate complex AI agent workflows with state persistence and retries. They serve different layers: MCPcat observes, Temporal executes.
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