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Deep visibility into AI agent interactions with your MCP server

From $49/mo (free plan available)Visit Website
Tracked since2026

The Bottom Line

Price
From $49/mo (free plan available). Compare plans

Key facts

  • One-line SDK integration for MCP servers to capture every tool call and session.
  • Detects silent failures where errors return inside a 200 HTTP response, which standard monitoring misses.
  • Provides weekly plain-English insight digests with root-cause analysis and estimated impact of fixes.

Pros

  • Extremely easy setup, just one line of code to wrap your existing MCP server.
  • Catches silent failures that standard APM and logging tools miss, revealing true error rates.
  • Provides not just data but actionable recommendations with root-cause analysis and fix suggestions.

Cons

  • Only works with MCP servers, not general-purpose API or application monitoring.
  • Free tier has a low call limit and short data retention.

What is TrackMCP?

TrackMCP is an analytics platform for MCP (Model Context Protocol) servers. It provides deep visibility into how AI agents interact with your MCP server, tracking which tools are called, by which clients, and whether workflows complete successfully. With a single line of code installation, TrackMCP captures every tool call and groups them into sessions, detecting silent failures that hide inside successful HTTP responses. It delivers actionable insights in plain English, highlighting tools that fail, agents that stall, and dead tools that no one uses, along with root-cause analysis and suggested fixes. Designed for developers building MCP servers that power AI agents like Claude, Cursor, and ChatGPT, TrackMCP helps teams measure adoption, improve reliability, and prioritize what to fix next.

Key Features

  • Tool analytics: per-tool call volume, latency (p50/p95), error rates, and trends over time.
  • Silent failure detection: reads payloads to catch isError responses inside successful HTTP 200 replies.
  • Client breakdown: see which AI agents (Claude, Cursor, ChatGPT, custom) are using your server.
  • Sessions & funnels: follow agent sessions end-to-end, see drop-off points and completion rates.
  • Actionable insights: weekly digest that identifies failing tools, root causes, and estimated call recovery.
  • Dead-tool detection: flag tools that receive zero calls, helping you remove unused code.
  • Call inspector: view full arguments, results, timing, client, and errors for any individual call.
  • Integrations: Slack alerts, webhooks, REST API, OpenTelemetry export, and email alerts.

Pricing Plans

Pricing checked Oct 6, 2026

TrackMCP plans and prices, checked October 2026
PlanPriceDetails
Hobby

$0 forever

  • 1,000 captured tool calls / month
  • 7-day data retention
  • Core analytics dashboard
+3 more
  • 1 MCP server
  • 1 team member
  • Community support
Pro

$49 / month

  • 50,000 captured tool calls / month
  • 90-day data retention
  • Actionable usage insights
+4 more
  • Up to 5 MCP servers
  • Privacy-aware telemetry and trace inspection
  • Up to 5 team members
  • Email support
Enterprise

Contact us

  • Custom call volume and pricing
  • Custom retention
  • Multiple teams and environments
+2 more
  • Security review and custom terms
  • Priority onboarding and support

Is TrackMCP worth the price?

Good value

TrackMCP's pricing is fair and generous for individual developers, with a free tier offering 1,000 tool calls and a Pro tier at $49/month for 50,000 calls and 90-day retention.

The Enterprise tier's custom pricing is typical for compliance-heavy deployments. Best for solo builders or small teams needing deep AI agent visibility without surprise costs.

Hidden Costs & Gotchas

No overage pricing disclosed for exceeding 50,000 calls/month on Pro

Free and Pro data retention fixed at 7 and 90 days

Full TrackMCP pricing: every plan, hidden costs and alternatives

How TrackMCP's pricing compares

At $49/mo, billing unit not specified, TrackMCP is mid-range of its 3 comparable direct competitors ($29 to $150/mo across the set).

Entry paid plan, monthly. Pricing checked Oct 6, 2026.

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TrackMCP FAQ

What counts as a tool call in TrackMCP?

Every time an AI agent calls one of your MCP tools, that counts as one tool call, regardless of whether it succeeds or fails. You are never charged for calls that TrackMCP could not capture.

How does TrackMCP detect errors that standard monitoring misses?

TrackMCP reads the payload of MCP tool calls. When a tool returns an error inside a successful HTTP 200 response (e.g., isError: true), standard APM sees a green 200, but TrackMCP identifies the actual failure and flags it.

Do I need to modify my existing MCP tools to use TrackMCP?

No. You only need to wrap your MCP server once with the TrackMCP SDK. Your individual tools and their logic remain unchanged. The SDK captures calls automatically.

What integrations does TrackMCP support?

TrackMCP offers Slack alerts, webhooks, a REST API, OpenTelemetry export, and email alerts. Data can also be exported as CSV or sent to a data warehouse.

Can I use TrackMCP with any MCP client?

Yes, TrackMCP works with any MCP client. It automatically detects and attributes calls to Claude, Cursor, ChatGPT, and custom agents, without requiring any client-side configuration.

How does TrackMCP group calls into sessions and workflows?

TrackMCP groups tool calls into sessions based on the client and timing. It follows the sequence of calls from the first request to a result, allowing you to see workflows, drop-off points, and completion rates.

What is the difference between sessions and outcomes in TrackMCP?

A session is a sequence of tool calls from a single agent interaction. An outcome indicates whether that session reached a useful result (completed workflow) or stopped early (e.g., agent retried and gave up). TrackMCP tracks both to measure reliability.

How does the weekly insight digest work?

TrackMCP automatically generates a weekly plain-English summary that identifies the biggest issues, explains the root cause (e.g., schema mismatch), and estimates how many calls each fix would recover, so you know what to prioritize.

Source: trackmcp.com

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