MCPtrace

Provides an MCP (Model Context Protocol) server that generates and executes bpftrace kernel tracing programs from AI assistant requests, including discovery/listing of available probes and asynchronous execution with later polling for results.

Evaluated Mar 30, 2026 (21d ago)
Repo ↗ Infrastructure mcp ebpf bpftrace kernel-tracing linux observability ai-agent-integration rust python
⚙ Agent Friendliness
42
/ 100
Can an agent use this?
🔒 Security
18
/ 100
Is it safe for agents?
⚡ Reliability
30
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
60
Error Messages
0
Auth Simplicity
35
Rate Limits
5

🔒 Security

TLS Enforcement
0
Auth Strength
25
Scope Granularity
0
Dep. Hygiene
40
Secret Handling
30

Security model relies on sudo access for bpftrace. README suggests storing a sudo password in a .env file and warns that there is no script validation (trust the AI client to generate safe scripts). No documented network transport security (TLS) or MCP-level authentication/authorization or scope granularity is provided in the README content. Also noted: resource limits (60s max execution, 10k lines buffer) but overall sandboxing/validation is not described.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
50
Error Recovery
30
AF Security Reliability

Best When

You have a Linux host with bpftrace available, are comfortable with an on-prem/local MCP server model, and want AI help generating kernel tracing scripts while managing sudo access securely.

Avoid When

You cannot enforce strong operational controls around sudo/password handling, or you require comprehensive, production-grade auth, rate limiting, and idempotency semantics.

Use Cases

  • AI-assisted Linux kernel debugging via natural language
  • Discovering kernel tracepoints/probes to monitor specific events
  • Tracing system calls, disk/network activity, and performance bottlenecks
  • Asynchronous capture of intermittent production issues with later retrieval of trace output

Not For

  • Use in environments where granting/handling sudo credentials is unacceptable
  • Real-time streaming requirements (only polling is described)
  • Workloads that require strict script validation/sandboxing before kernel tracing
  • Teams needing guaranteed API contracts, versioned stability, or enterprise-grade SLAs

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: sudo/bpftrace execution via local configuration (password or passwordless sudo)
OAuth: No Scopes: No

README describes sudo requirement and either a .env containing BPFTRACE_PASSWD or passwordless sudo for bpftrace. No explicit MCP auth scheme (e.g., API keys, OAuth) is documented; README mentions 'proper authentication' in the concept but also notes future enhancements.

Pricing

Free tier: No
Requires CC: No

Open-source (MIT per repo metadata). No hosted pricing described; costs are operational (compute/host resources, tracing overhead).

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No real-time streaming; agents must poll via get_result using execution_id.
  • No script validation/sandboxing is described; an agent may generate unsafe/overly expensive bpftrace programs if not constrained by the client.
  • Server requires sudo/bpftrace; failures will occur if sudo is not configured or credentials are missing/incorrect.
  • Asynchronous execution buffers/results may require careful cleanup/timeout handling; behavior is described only at a high level.
  • Retry behavior/idempotency semantics are not clearly documented; repeated exec_program calls may generate multiple independent trace executions.

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Scores are editorial opinions as of 2026-03-30.

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