Mcpcat Typescript Sdk
Agent analytics and observability for MCP servers, now rebranded to AgentCat with dual SDK support
AgentCat is the fastest way to gain insight into your MCP server's agent traffic. The free tier's session replay and the Agent Goals add-on give you debugging superpowers. But if you are not using MCP, it's not for you—look elsewhere. For MCP server owners, it's a no-brainer to start with the free tier and scale. Compared to general APM tools like Datadog, AgentCat is purpose-built for agent sessions, making it easier to replay tool calls and understand intent. If you need advanced security and self-hosting, the Enterprise plan covers it, but it's annual-only.
Verified 6d ago · liveness 41/100 · cite: rightaichoice.com/tools/mcpcat-typescript-sdk
- MCP server owners who need to debug agent behavior and understand user interactions
- Teams building AI agents that rely on MCP and want to optimize tool performance
- Product managers wanting to understand agent usage patterns and drop-off points
- AI startups focused on agent experience (AX) and data-driven roadmap decisions
- Teams not using the Model Context Protocol (MCP) at all
- Users needing a general-purpose observability tool beyond MCP
- Organizations with very low session volumes who don't need detailed analytics
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Skip AgentCat if your team doesn't use the Model Context Protocol (MCP) for agent development, or if you only need basic API monitoring and don't require deep session-level replay, goal classification, or MCP-specific debugging.
Going over the monthly session limit on Free pauses recording until you add a card, and then it's $40 per additional 1,000 sessions, which can add up with heavy traffic.
AgentCat's pricing starts with a generous free tier compared to other MCP observability tools. For teams scaling past 500 sessions, the Growth plan at $160/month offers a balance, though costs grow with session overages. Enterprise is custom and annual, which fits larger orgs but may be pricier than generic APM tools like Datadog for basic needs. If you need deep agent-level analytics, the add-on LLM Goals at $90 adds value but increases cost.
In short
Mcpcat Typescript Sdk — Agent analytics and observability for MCP servers, now rebranded to AgentCat with dual SDK support. Best for MCP server owners who need to debug agent behavior and understand user interactions, Teams building AI agents that rely on MCP and want to optimize tool performance, Product managers wanting to understand agent usage patterns and drop-off points. Free to start; paid plans from $90/mo.
What people actually say about Mcpcat Typescript Sdk — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
1 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +MCP-native analytics with agent intent and goal enrichment.
- +Lightweight SDKs for TypeScript and Python are easy to integrate.
- +Session replay enables step-by-step tool call inspection.
- +Free tier lets users experiment without upfront payment.
- +Funnel analytics help identify where agents drop off.
- −Nearly no community feedback to validate reliability.
- −Only two quotes available, most from the creator's own post.
- −No information about uptime or performance at scale.
- −LLM classification add-on adds cost and uncertainty.
- −Lacks integrations with popular platforms like Slack or Zapier.
- • LLM-driven goal classification is an add-on with separate pricing not listed publicly.
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: September 2026
How we score →Key Features
- Session replay with step-by-step tool call inspection
- Agent Goal enrichment (LLM-driven, add-on)
- Agent intent display per tool call
- Error grouping with impact prioritization
- Per-tool performance monitoring
- A/B testing to validate tool changes
- Funnel and drop-off analytics for agent flows
- Trend analysis over time
- Custom user attribute filtering
- Lightweight TypeScript SDK
- Lightweight Python SDK
- Two-layer data redaction (client-side and server-side)
- SOC 2 compliance (Enterprise)
- Self-hosting option (Enterprise)
- Slack integration for triage
About Mcpcat Typescript Sdk
AgentCat (formerly MCPcat) is an analytics and observability platform built for developers and teams operating servers using the Model Context Protocol (MCP). It gives you full visibility into how AI agents interact with your tools—from Claude Connectors to ChatGPT Apps—so you can stop debugging blind. With lightweight open-source TypeScript and Python SDKs, you can instrument your server and start capturing every tool call, agent intent, and error in minutes. The platform is designed for indie devs, AI startups, and enterprise teams who need to understand agent behavior, debug issues, and optimize tool performance. Core to AgentCat is session replay, which lets you step through every tool call in a session—the exact request, response, and any errors—and share a link for team-wide collaboration. Agent Goals, an LLM-driven add-on, automatically clusters sessions into clear intents and use cases, so you know what agents are trying to accomplish without manual tagging. The platform also includes Issues & Error Grouping that groups errors by impact, per-tool performance monitoring, A/B testing to validate tool changes, and rich analytics like trends, funnels, and drop-off points. Custom user attribute filtering enables deep segmentation. AgentCat is enterprise-ready from day one: SOC 2 compliant, with SSO/SAML, audit logs, two-layer redaction (client-side hooks and server-side settings), and self-hosting on the Enterprise plan. Data exports to S3, Snowflake, and BigQuery are available, and Slack integration lets you @mention AgentCat for triage. All SDKs are fully open-source on GitHub. Pricing starts with a generous free tier (500 sessions/month, 1 project, 3 teammates). Growth ($160/month) adds 2,000 sessions, unlimited projects, 10 teammates, and Issues & Error Grouping. The LLM Goals add-on costs $90/month for 1,000 classifications. Enterprise offers custom volume, SSO, audit logs, SOC 2, exports, and self-hosting.
Behind the Verdict
AgentCat stands out in the emerging agent observability space by focusing exclusively on MCP servers. Its session replay feature is particularly strong—you can step through every tool call in a session, see the request, response, and error, and share the link with your team. This turns debugging from a frustrating guessing game into a structured process. We like that the SDKs are open-source and lightweight, so instrumentation is quick and transparent. The Agent Goals add-on is a differentiator: it uses LLM classification to cluster sessions into intents, which is a huge time-saver for product managers trying to understand what agents are actually doing. The fact that it requires zero setup is a plus. However, it's an extra $90/month, which may be steep for small teams. Weaknesses: The free tier is limited to 500 sessions/month, which may not last long once you have real traffic. The 60-day data retention on free might be too short for long-term trend analysis. Also, billing only for sessions with actual tool calls is a nice touch, but you need to be aware of that definition to avoid surprises. There's no on-prem option below Enterprise, so if you want to self-host without committing annually, that's a blocker. The 2026 rebrand from MCPcat to AgentCat reflects their broader vision beyond MCP, but they've confirmed the SDK and mission are unchanged, so it's a safe upgrade. Overall, if you run an MCP server, AgentCat is one of the first tools you should try for observability. It's not the right fit if you're not using MCP, or if you need a free self-hosted solution.
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Real-world workflow fit
Concrete scenarios for the personas Mcpcat Typescript Sdk actually fits — and what changes day-one when you adopt it.
You've just integrated the SDK and a user reports a failed tool call. You open AgentCat, find the session, and replay it step by step to see the exact request and response where it crashed, then share the link with your team in Slack to confirm the fix.
Outcome: You identify the root cause in minutes, fix the tool, and verify the same session now works, reducing debugging time from days to hours.
You want to know which use cases your MCP server is being used for. You enable the Agent Goals add-on, and it automatically clusters sessions into intents like 'content generation' or 'data retrieval', showing trends over time.
Outcome: You see a new use case growing 20% month-over-month and decide to invest in improving that workflow, grounding your roadmap in actual agent behavior.
Your team needs SOC 2 compliance and data exports to Snowflake. You subscribe to the Enterprise plan, configure SSO, set up server-side redaction, and connect the export.
Outcome: You get audit logs and SOC 2 reports, with sensitive data redacted, and your data team can now run warehouse queries, all with self-hosting if needed.
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 ensure reliability for critical endpoints.
- Segment users by custom attributes to understand how different cohorts use your server.
Limitations
- The free tier is capped at 500 sessions per month, after which you pay $40 per 1,000 sessions.
- The LLM Goals add-on costs an additional $90/month and is available on Growth and Enterprise plans.
- Session billing applies only to sessions with actual tool call activity.
- Enterprise features like SSO, audit logs, and custom exports are only available on the annual custom plan.
- The platform is specifically designed for MCP servers, so it won't work for other agent protocols.
- Self-hosting is not available below the Enterprise plan.
as of 2026-09-09
Verification history
We have re-verified Mcpcat Typescript Sdk 8 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.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Mcpcat Typescript Sdk tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers experimenting with MCP and wanting basic session replay and analytics for up to 500 sessions/month
What this tier adds
Free entry point with 500 sessions/month, 1 project, 3 teammates, and 60 days of data history
Growth
$160/mo
Ideal for
Teams that have outgrown the free tier and need scaling with 2,000 sessions, unlimited projects, and error grouping
What this tier adds
Adds Issues & Error Grouping, increases to 2,000 sessions, unlimited projects, and 180 days of history
LLM Goals Add-on
$90/mo
Ideal for
Product managers and teams needing automatic session classification to understand agent intents and use cases
What this tier adds
Adds LLM Goals classification for 1,000 sessions/month at $90, with overage rates on top of Growth or Enterprise
Enterprise
Custom
Ideal for
Larger organizations that need SSO, SOC 2 compliance, data exports, or self-hosting to meet security requirements
What this tier adds
Includes custom session volume, 2-year retention, SSO, audit logs, exports, and self-hosting on an annual contract
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 pricing starts with a generous free tier compared to other MCP observability tools. For teams scaling past 500 sessions, the Growth plan at $160/month offers a balance, though costs grow with session overages. Enterprise is custom and annual, which fits larger orgs but may be pricier than generic APM tools like Datadog for basic needs. If you need deep agent-level analytics, the add-on LLM Goals at $90 adds value but increases cost.
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.
A developer can get the TypeScript or Python SDK installed and sending data in under 15 minutes, thanks to straightforward docs. The first session replay is available almost immediately. For teams, adding teammates and setting up Slack integration takes another few minutes. Enterprise setup, including SSO and exports, may take a few hours depending on your environment.
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 a custom logging setup: Use the open-source SDK to instrument your MCP server, then start replaying sessions in AgentCat to replace your ad-hoc debug logs.
- →From a general APM tool like Datadog: AgentCat provides MCP-specific session replay and goal analysis, so you can migrate your agent monitoring by installing the SDK and exporting historical data if needed.
- ↗To a self-hosted alternative: AgentCat exports data to S3, Snowflake, or BigQuery on Enterprise, so you can extract your session logs and move to an in-house solution.
- ↗To a different observability platform: Since AgentCat focuses on MCP, you can repurpose your raw tool call logs (exported) and ingest them into Datadog or Grafana for more general monitoring.
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
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